Empathy, Resilience, Innovation, and Speed: The Blueprint for Intelligent Healthcare Transformation

Forrester’s recent report, Becoming An Intelligent Healthcare Organization Is An Attainable Goal, Not A Lost Cause, confirms what healthcare executives already know: transformation is no longer optional.

Perficient is proud to be quoted in this research, which outlines a pragmatic framework for becoming an intelligent healthcare organization (IHO)—one that scales innovation, strengthens clinical and operational performance, and delivers measurable impact across the enterprise and the populations it serves.

Why Intelligent Healthcare Is No Longer Optional

Healthcare leaders are under pressure to deliver better outcomes, reduce costs, and modernize operations, all while navigating fragmented systems and siloed departments. Forrester’s report identifies four hallmarks of intelligent healthcare organizations, emphasizing that transformation is not a destination but a continuous practice.

Breaking Through Transformation Barriers

The journey to transformation requires more than technology; it demands strategic clarity, operational alignment, and a commitment to continuous improvement. Forrester reports, “Among business and technology professionals at large US healthcare firms, only 63% agree that their IT organization can readily reallocate people and technologies to serve the newest business priority; 65% say they have enterprise architecture that can quickly and efficiently support major changes in business strategy and execution.”

Despite widespread investment in digital tools, many healthcare organizations struggle to translate those investments into enterprise-wide impact. Misaligned priorities, inconsistent progress across departments, and legacy systems often create bottlenecks that stall innovation and dilute momentum.

These challenges aren’t just technical or organizational. They’re strategic. Enterprise leaders can no longer sit on the sidelines and play the “wait and see” game. They must shift from reactive IT management to proactive digital orchestration, where technology, talent, and transformation are aligned to business outcomes.

Business transformation is not a fleeting trend. It’s an essential strategy for healthcare organizations that want to remain competitive as the marketplace evolves.

Four Hallmarks of An Intelligent Healthcare Organization (IHO)

To overcome these barriers, healthcare organizations must align consumer expectations, digital infrastructure, clinical workflows, and data governance with strategic business goals.

1. Empathy At Scale: Human-Centered, Trust-Enhancing Experiences

A defining trait of intelligent healthcare organizations is a commitment to human-centered experiences. This is driven by a continuous understanding of consumer needs and supported by strategic technology investments that enable timely, personalized interventions and touchpoints. As Forrester notes, “The most intelligent organizations excel at empathetic, swift, and resilient innovation to continuously deliver new value for customers and stay ahead of the competition.”

Empathy is more than a design principle. It’s a performance driver. Organizations that prioritize human-centered care see higher engagement, better adherence, and stronger loyalty.

Our experts help clients reimagine care journeys using journey sciences, predictive analytics, integrated CRM and CDP platforms, and cloud-native architectures that support scalable personalization. But personalization without protection is a risk. That’s why empathy must extend beyond experience design to include ethical, secure, and responsible AI adoption.

Healthcare organizations face unique constraints, including HIPAA, PHI, and PII regulations that limit the utility of plug-and-play AI solutions. To meet these challenges, we apply our PACE framework—Policies, Advocacy, Controls, and Enablement—to ensure AI is not only innovative but also rooted in trust.

• Policies establish clear boundaries for acceptable AI usage, tailored to healthcare’s regulatory landscape.
• Advocacy builds cross-functional understanding and adoption through education and collaboration.
• Controls implement oversight, auditing, and risk mitigation to protect patient data and ensure model integrity.
• Enablement equips teams with the tools and environments needed to innovate confidently and securely.

This approach ensures AI is deployed with purpose, aligned to business goals, and embedded with safeguards that protect consumers and care teams alike. It also supports the creation of reusable architectures that blend scalable services with real-time monitoring, which is critical for delivering fast, reliable, and compliant AI applications.

Responsible AI isn’t a checkbox. It’s a continuous practice. And in healthcare, it’s the difference between innovation that inspires trust and innovation that invites scrutiny.

2. Designing for Disruption: Resilience as a Competitive Advantage

Patient-led experiences must be grounded in a clear-eyed understanding that market disruption isn’t simply looming. It’s already here. To thrive, healthcare leaders must architect systems that flex under pressure and evolve with purpose. Resilience is more than operational; it’s also behavioral, cultural, and strategic.

Perficient’s Access to Care research reveals that friction in the care journey directly impacts health outcomes, loyalty, and revenue:

• More than 50% of consumers who experienced scheduling friction took their care elsewhere, resulting in lost revenue, trust, and care continuity
• 33% of respondents acted as caregivers, yet this persona is often overlooked in digital strategies
• Nearly 1 in 4 respondents who experienced difficulty scheduling an appointment stated that the friction led to delayed care, and they believed their health declined as a result
• More than 45% of consumers aged 18–64 have used digital-first care instead of their regular provider, and 92% of them believe the quality is equal or better

This sentiment should be a wakeup call for leaders. It clearly signals that consumers expect healthcare to meet both foundational needs (cost, access) and lifestyle standards (convenience, personalization, digital ease). When systems fail to deliver, patients disengage. And when caregivers—who often manage care for entire households—encounter barriers, the ripple effect is exponential.

To build resilience that drives retention and revenue, leaders must design systems that anticipate needs and remove barriers before they impact care. Resilient operations must therefore be designed to:

• Reduce friction across the care journey, especially in scheduling and follow-up
• Support caregivers with multi-profile tools, shared access, and streamlined coordination
• Enable digital-first engagement that mirrors the ease of consumer platforms like Amazon and Uber

Consumers are blending survival needs with lifestyle demands. Intelligent healthcare organizations address both simultaneously.

Resilience also means preparing for the unexpected. Whether it’s regulatory shifts, staffing shortages, or competitive disruption, IHOs must be able to pivot quickly. That requires leaders to reimagine patient (and member) access as a strategic lever and prioritize digital transformation that eases the path to care.

3. Unified Innovation: Aligning Strategy, Tech, and Teams

Innovation without enterprise alignment is just noise—activity without impact. When digital initiatives are disconnected from business strategy, consumer needs, or operational realities, they create confusion, dilute resources, and fail to deliver meaningful outcomes. Fragmented innovation may look impressive in isolation, but without coordination, it lacks the momentum to drive true transformation.

To deliver real results, healthcare leaders must connect strategy, execution, and change readiness. In Forrester’s report, a quote from an interview with Priyal Patel emphasizes the importance of a shared strategic vision:

“Today’s decisions should be guided by long-term thinking, envisioning your organization’s business needs five to 10 years into the future.” — Priyal Patel, Director, Perficient

Our approach begins with strategic clarity. Using our Envision Framework, we help healthcare organizations rapidly identify opportunities, define a consumer-centric vision, and develop a prioritized roadmap that aligns with business goals and stakeholder expectations. This framework blends real-world insights with pragmatic planning, ensuring that innovation is both visionary and executable.

We also recognize that transformation is not just technical—it’s human. Organizational change management (OCM) ensures that teams are ready, willing, and able to adopt new ways of working. Through structured engagement, training, and sustainment, we help clients navigate the behavioral shifts required to scale innovation across departments and disciplines.

This strategic rigor is especially critical in healthcare, where innovation must be resilient, compliant, and deeply empathetic. As highlighted in our 2025 Digital Healthcare Trends report, successful organizations are those that align innovation with measurable business outcomes, ethical AI adoption, and consumer trust.

Perficient’s strategy and transformation services connect vision to execution, ensuring that innovation is sustainable:

• Digital Business Transformation: End-to-end strategies to modernize capabilities, experiences, and platforms
• Consumer Experience Strategy: Designing journeys that build loyalty and advocacy
• Product Strategy and Innovation: Defining digital products that meet emerging expectations
• Digital Operating Models: Structuring teams and systems to deliver at scale
• Change Management Enablement: Preparing people to embrace and sustain transformation

We partner with healthcare leaders to identify friction points and quick wins, build a culture of continuous improvement, and empower change agents across the enterprise.

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4. Speed With Purpose and Strategic Precision

The ability to pivot, scale, and deliver quickly is becoming a defining trait of tomorrow’s healthcare leaders. The way forward requires a comprehensive digital strategy that builds the capabilities, agility, and alignment to stay ahead of evolving demands and deliver meaningful impact.

IHOs act quickly without sacrificing quality. But speed alone isn’t enough. Perficient’s strategic position emphasizes speed with purpose—where every acceleration is grounded in business value, ethical AI adoption, and measurable health outcomes.

Our experts help healthcare organizations move fast by:

• Designing for agility with composable architectures, MVP+ delivery models, and intelligent automation that compliantly accelerates time-to-value while maintaining clinical integrity
• Aligning digital transformation with value-based care goals, enabling organizations to shift from volume to value through strategic investments that integrate cloud platforms, interoperable systems, and advanced analytics
• Operationalizing AI responsibly to support equitable, secure, compliant, and scalable AI adoption

This approach supports the Quintuple Aim: better outcomes, lower costs, improved experiences, clinician well-being, and health equity. It also ensures that innovation is not just fast. It’s focused, ethical, and sustainable.

Speed with purpose means:

• Rapid prototyping that validates ideas before scaling
• Real-time data visibility to inform decisions and interventions
• Cross-functional collaboration that breaks down silos and accelerates execution
• Outcome-driven KPIs that measure impact, not just activity

Healthcare leaders don’t need more tools. They need a strategy that connects business imperatives, consumer demands, and an empowered workforce to drive transformation forward. Perficient equips organizations to move with confidence, clarity, and control.

Collaborating to Build Intelligent Healthcare Organizations

We believe our inclusion in Forrester’s report underscores our role as a trusted advisor in intelligent healthcare transformation. From insight to impact, our healthcare expertise equips leaders to modernize, personalize, and scale care. We drive resilient, AI-powered transformation to shape the experiences and engagement of healthcare consumers, streamline operations, and improve the cost, quality, and equity of care.

We have been trusted by the 10 largest health systems and the 10 largest health insurers in the U.S., and Modern Healthcare consistently ranks us as one of the largest healthcare consulting firms.

Our strategic partnerships with industry-leading technology innovators—including AWS, Microsoft, Salesforce, Adobe, and more—accelerate healthcare organizations’ ability to modernize infrastructure, integrate data, and deliver intelligent experiences. Together, we shatter boundaries so you have the AI-native solutions you need to boldly advance business.

Ready to advance your journey as an intelligent healthcare organization?

We’re here to help you move beyond disconnected systems and toward a unified, data-driven future—one that delivers better experiences for patients, caregivers, and communities. Let’s connect and explore how you can lead with empathy, intelligence, and impact.

Modern Healthcare has once again recognized Perficient among the largest healthcare management consulting firms in the U.S., ranking us ninth in its 2025 survey. This honor reflects not only our growth but also our commitment to helping healthcare leaders navigate complexity with clarity, precision, and purpose.

What’s Driving Demand: Innovation with Intent

As provider, payer, and MedTech organizations face mounting pressure to modernize, our work is increasingly focused on connecting digital investments to measurable business and health outcomes. The challenges are real—and so are the opportunities.

Healthcare leaders are engaging our experts to tackle shifts from digital experimentation to enterprise alignment in business-critical areas, including:

• Digital health transformation that eases access to care.
• AI and data analytics that accelerate insight, guide clinical decisions, and personalize consumer experiences.
• Workforce optimization that supports clinicians, streamlines operations, and restores time to focus on patients, members, brokers, and care teams.

These investments represent strategic maturity that reshapes how care is delivered, experienced, and sustained.

Operational Challenges: Strategy Meets Reality

Serving healthcare clients means working inside a system that resists simplicity. Our industry, technical, and change management experts help leaders address three persistent tensions:

1. Aligning digital strategy with enterprise goals. Innovation often lacks a shared compass. We translate divergent priorities—clinical, operational, financial—into unified programs that drive outcomes.
2. Controlling costs while preserving agility. Budgets are tight, but the need for speed and competitive relevancy remains. Our approach favors scalable roadmaps and solutions that deliver early wins and can flex as the health care marketplace and consumer expectations evolve.
3. Preparing the enterprise for AI. Many of our clients have discovered that their AI readiness lags behind ambition. We help build the data foundations, governance frameworks, and workforce capabilities needed to operationalize intelligent systems.

Related Insights: Explore the Digital Trends in Healthcare

Consumer Expectations: Access Is the New Loyalty

Our Access to Care research, based on insights from more than 1,000 U.S. healthcare consumers, reveals a fundamental shift: if your healthcare organization isn’t delivering a seamless, personalized, and convenient experience, consumers will go elsewhere. And they won’t always come back.

Many healthcare leaders still view competition as other hospitals or clinics in their region. But today’s consumer has more options—and they’re exercising them. From digital-first health experiences to hyper-local disruptors and retail-style health providers focused on accessibility and immediacy, the competitive field is rapidly expanding.

• Digital convenience is now a baseline. More than half of consumers who encountered friction while scheduling care went elsewhere.
• Caregivers are underserved. One in three respondents manage care for a loved one, yet most digital strategies treat the patient as a single user.
• Digital-first care is mainstream. 45% of respondents aged 18–64 have already used direct-to-consumer digital care, and 92% of those adopters believe the quality is equal or better to the care offered by their regular health care system.

These behaviors demand a rethinking of access, engagement, and loyalty. We help clients build experiences that are intuitive, inclusive, and aligned with how people actually live and seek care.

Looking Ahead: Complexity Accelerates

With intensified focus on modernization, data strategy, and responsible AI, healthcare leaders are asking harder questions. We’re helping them find and activate answers that deliver value now and build resilience for what’s next.

Our technology partnerships with Adobe, AWS, Microsoft, Salesforce, and other platform leaders allow us to move quickly, integrate deeply, and co-innovate with confidence. We bring cross-industry expertise from financial services, retail, and manufacturing—sectors where personalization and operational excellence are already table stakes. That perspective helps healthcare clients leapfrog legacy thinking and adopt proven strategies. And our fluency in HIPAA, HITRUST, and healthcare data governance ensures that our digital solutions are compliant, resilient, and future-ready.

Optimized, Agile Strategy and Outcomes for Health Insurers, Providers, and MedTech

Discover why we been trusted by the 10 largest U.S. health systems, 10 largest U.S. health insurers, and 14 of the 20 largest medical device firms. We are recognized in analyst reports and regularly awarded for our excellence in solution innovation, industry expertise, and being a great place to work.

Contact us to explore how we can help you forge a resilient, impactful future that delivers better experiences for patients, caregivers, and communities.

The pressure is on for healthcare organizations to deliver more—more value, more equity, more impact. That’s where a well-known approach is stepping back into the spotlight.

If you’ve been around healthcare conversations lately, you’ve probably heard the resurgence of term value-based care. And there’s a good reason for that. It’s not just a buzzword—it’s reshaping how we think about health, wellness, and the entire care experience.

What Is Value-Based Care, Really?

At its core, value-based care is a shift away from the old-school fee-for-service model, where providers got paid for every test, procedure, or visit, regardless of whether it actually helped the patient. Instead, value-based care rewards providers for delivering high-quality, efficient care that leads to better health outcomes.

It’s not about how much care is delivered, it’s about how effective that care is.

This shift matters because it places patients at the center of everything. It’s about making sure people get the right care, at the right time, in the right setting. That means fewer unnecessary tests, fewer duplicate procedures, and less of the fragmentation that’s plagued the system for decades.

The results? Better experiences for patients. Lower costs. Healthier communities.

Explore More: Access to Care Is Evolving: What Consumer Insights and Behavior Models Reveal

Benefits and Barriers of Value-Based Care in Healthcare Transformation

There’s a lot to be excited about, and for good reason! When we focus on prevention, chronic disease management, and whole-person wellness, we can avoid costly hospital stays and emergency room visits. That’s not just good for the healthcare system, it’s good for people, families, and communities. It moves us closer to the holy grail in healthcare: the quintuple aim. Achieving it means delivering better outcomes, elevating experiences for both patients and clinicians, reducing costs, and advancing health equity.

The challenge? Turning value-based care into a scalable, sustainable reality isn’t easy.

Despite more than a decade of pilots, programs, and well-intentioned reforms, only a small number of healthcare organizations have been able to scale their value-based care models effectively. Why? Because many still struggle with some pretty big roadblocks—like outdated technology, disconnected systems, siloed data, and limited ability to manage risk or coordinate care.

That’s where digital transformation comes in.

To make value-based care real and sustainable, healthcare organizations are rethinking their infrastructure from the ground up. They’re adopting cloud-based platforms and interoperable IT systems that allow for seamless data exchange across providers, payers, and patients. They’re tapping into advanced analytics, intelligent automation, and AI to identify at-risk patients, personalize care, and make smarter decisions faster.

As organizations work to enable VBC through digital transformation, it’s critical to really understand what the current research says. Our recent study, Access to Care: The Digital Imperative for Healthcare Leaders, backs up these trends, showing that digital convenience is no longer a differentiator—it’s a baseline expectation.

Findings show that nearly half of consumers have opted for digital-first care instead of visiting their regular physician or provider.

This shift highlights how important it is to offer simple and intuitive self-service digital tools that help people get what they need—fast. When it’s easy to find and access care, people are more likely to trust you, stick with you, and come back when they need you again.

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Redesigning Care Models for a Consumer-Centric, Digitally Enabled Future

Care models are also evolving. Instead of reacting to illness, we’re seeing a stronger focus on prevention, early intervention, and proactive outreach. Consumer-centric tools like mobile apps, patient portals, and personalized health reminders are becoming the norm, not the exception. It’s all part of a broader movement to meet people where they are and give them more control over their health journey.

But here’s an important reminder: none of these efforts work in a vacuum.

Value-based care isn’t just a technology upgrade or a process tweak. It’s a cultural shift.

Success requires aligning people, processes, data, and technology in a way that’s intentional and strategic. It’s about creating an integrated system that’s designed to improve outcomes and then making those improvements stick.

So, while the road to value-based care may be long and winding, the destination is worth it. It’s not just a different way of delivering care—it’s a smarter, more sustainable one.

Success In Action: Empowering Healthcare Consumers and Their Care Ecosystems With Interoperable Data

Reimagine Healthcare Transformation With Confidence

If you’re exploring how to modernize your digital front door, consider starting with a strategic assessment. Align your goals, audit your content, and evaluate your tech stack. The path to better outcomes starts with a smarter, simpler way to help patients find care.

We combine strategy, industry best practices, and technology expertise to deliver award-winning results for leading healthcare organizations.

• Business Transformation: Activate strategy for transformative outcomes and health experiences.
• Modernization: Maximize technology to drive health innovation, efficiency, and interoperability.
• Data + Analytics: Power enterprise agility and accelerate healthcare insights.
• Consumer Experience: Connect, ease, and elevate impactful health journeys.

Our approach to designing and implementing AI and machine learning (ML) solutions promotes secure and responsible adoption and ensures demonstrated and sustainable business value.

Discover why we have been trusted by the 10 largest health systems and the 10 largest health insurers in the U.S. Explore our healthcare expertise and contact us to learn more.

Meet Acquia Source

Acquia Source powered by Drupal is Acquia’s SaaS solution to streamline building, managing, and deploying websites at scale, representing a fundamental shift in how organizations approach digital experience creation. This innovative platform combines the power of Drupal with a modern component-based architecture, delivering a unique hybrid approach that bridges traditional CMS capabilities with contemporary development practices.

At its core, Acquia Source is a SaaS offering that provides Drupal functionality enhanced with a custom component architecture built on React and Tailwind CSS. Components can be created through React, Tailwind 4, and CSS, allowing developers to write CSS and React directly within the platform without need for complex dev workflows. This approach eliminates the need for custom modules or PHP code, streamlining the development process while maintaining the robust content management capabilities that Drupal is known for.

Unlike traditional Drupal implementations that require extensive backend development, Acquia Source focuses on frontend component creation and content architecture. This makes it accessible to a broader range of developers while still leveraging Drupal’s proven content management foundation. For detailed technical specifications and implementation guides, explore the comprehensive documentation and learn more about the platform on Acquia’s official pages.

Why Acquia Source is a Game-Changer

The React-based component architecture at the heart of Acquia Source offers several compelling advantages that address common pain points in digital experience development. It provides a user-friendly Experience Builder to help you create and edit pages, robust user management features to control permissions and collaboration, and a design system approach that enables teams to define and enforce style and interaction patterns across pages.

One of the most significant benefits is the demoable, out-of-the-box feature set that allows teams to showcase functionality immediately without extensive development work. Since Acquia Source operates as a SaaS solution, updates and platform management are completely offloaded from your team, eliminating the traditional burden of infrastructure maintenance, security patching, and version upgrades that typically consume resources in custom Drupal implementations.

The platform maintains Drupal’s standard content type architecture, ensuring that content creators and administrators can leverage familiar workflows and structures. This consistency reduces training requirements and maintains efficiency while introducing modern frontend capabilities.

Perhaps most importantly for development teams, Acquia Source uses React and CSS technologies that frontend developers already understand. Unlike proprietary low-code solutions that require learning platform-specific languages or architectures, developers can immediately apply their existing React and Tailwind CSS knowledge. This eliminates the typical learning curve associated with new platforms and enables faster team onboarding and development.

Changing the Playbook for Smaller companies

Acquia Source fundamentally changes the accessibility of high-end digital Drupal experiences, particularly for smaller companies and businesses that previously couldn’t justify the cost or complexity of enterprise-level implementations. The platform’s quick spin-up capability means organizations can have a sophisticated digital presence operational in weeks/months rather than months/years.

With updates handled entirely by the SaaS solution, businesses no longer need to budget for ongoing maintenance, security updates, or platform upgrades. This predictable cost model makes enterprise-level functionality accessible to organizations with limited technical resources or budget constraints.

The platform eliminates the need for complex strategy engagements or extensive architecture planning that typically precede major Drupal implementations. For many use cases, the offering can be as simple as skinning out-of-the-box components to match brand requirements, dramatically reducing both time-to-market and project complexity. Gone are the days of extensive discussions about which address module or maps integration are required for a specific implementation.

The content-type-only architecture approach allows smaller development teams to deliver sophisticated results without deep Drupal expertise. This lower barrier of entry enables smaller firms to confidently engage with top-tier Acquia partners such as Perficient, providing access to extensive libraries of industry and technology-specific experts without requiring large internal development teams. This ease of access means that businesses can leverage enterprise-grade expertise and proven methodologies regardless of their size or internal technical capabilities.

Conclusion: Your Next Learning Priority

Acquia Source represents the future of accessible, scalable digital experience development. By combining the proven content management capabilities of Drupal with modern React-based component architecture, it offers a compelling solution for organizations seeking to deliver sophisticated digital experiences without the traditional complexity and resource requirements.

For marketing professionals, Acquia Source offers unprecedented speed-to-market, creative flexibility and ability to leverage existing frontend resources. For architects and developers, it provides a platform that leverages existing skills while eliminating infrastructure concerns and reducing project complexity.

The platform’s unique position in the market, providing advanced Drupal capabilities through a SaaS model with familiar development technologies makes it an invaluable tool for any developer or agency to have in their toolbox.

Start your Acquia Source journey today by exploring the comprehensive documentation and registering for the Partner Master Class: Introducing Acquia Source powered by Drupal to gain hands-on experience with this transformative platform.

Whether you’re building embedded software for next-gen diagnostics, modernizing lab systems, or scaling user-facing platforms, the pressure to innovate is universal, and AI is becoming a key differentiator. When embedded into the software development lifecycle (SDLC), AI offers a path to reduce costs, accelerate timelines, and equip the enterprise to scale with confidence. 

But AI doesn’t implement itself. It requires a team that understands the nuance of regulated software, SDLC complexities, and the strategic levers that drive growth. Our experts are helping MedTech leaders move beyond experimentation and into execution, embedding AI into the core of product development, testing, and regulatory readiness. 

“AI is being used to reduce manual effort and improve accuracy in documentation, testing, and validation.” – Reuters MedTech Report, 2025 

Whether it’s generating test cases from requirements, automating hazard analysis, or accelerating documentation, we help clients turn AI into a strategic accelerator. 

AI-Accelerated Regulatory Documentation 

Outcome: Faster time to submission, reduced manual burden, improved compliance confidence 

Regulatory documentation remains one of the most resource-intensive phases of medical device development.  

• Risk classification automation: AI can analyze product attributes and applicable standards to suggest classification and required documentation. 
• Drafting and validation: Generative AI can produce up to 75% of required documentation, which is then refined and validated by human experts. 
• AI-assisted review: Post-editing, AI can re-analyze content to flag gaps or inconsistencies, acting as a second set of eyes before submission. 

AI won’t replace regulatory experts, but it will eliminate the grind. That’s where the value lies. 

For regulatory affairs leaders and product teams, this means faster submissions, reduced rework, and greater confidence in compliance, all while freeing up resources to focus on innovation. 

Agentic AI in the SDLC 

Outcome: Increased development velocity, reduced error rates, scalable automation 

Agentic AI—systems of multiple AI agents working in coordination—is emerging as a force multiplier in software development. 

• Task decomposition: Complex development tasks are broken into smaller units, each handled by specialized agents, reducing hallucinations and improving accuracy. 

• Peer review by AI: One agent can validate the output of another, creating a self-checking system that mirrors human code reviews. 

• Digital workforce augmentation: Repetitive, labor-intensive tasks (e.g., documentation scaffolding, test case generation) are offloaded to AI, freeing teams to focus on innovation. This is especially impactful for engineering and product teams looking to scale development without compromising quality or compliance. 

• Guardrails and oversight mechanisms: Our balanced implementation approach maintains security, compliance, and appropriate human supervision to deliver immediate operational gains and builds a foundation for continuous, iterative improvement. 

Agentic AI can surface vulnerabilities early and propose mitigations faster than traditional methods. This isn’t about replacing engineers. It’s about giving them a smarter co-pilot. 

AI-Enabled Quality Assurance and Testing 

Outcome: Higher product reliability, faster regression cycles, better user experiences 

AI is transforming QA from a bottleneck into a strategic advantage. 

• Smart regression testing: AI frameworks run automated test suites across releases, identifying regressions with minimal human input. 
• Synthetic test data generation: AI creates high-fidelity, privacy-safe test data in minutes—data that once took weeks to prepare. 
• GenAI-powered visual testing: AI evaluates UI consistency and accessibility, flagging issues that traditional automation often misses. 
• Chatbot validation: AI tools now test AI-powered support interfaces, ensuring they provide accurate, compliant responses. 

We’re not just testing functionality—we’re testing intelligence. That requires a new kind of QA.

For organizations managing complex software portfolios, this transforms QA from a bottleneck into a strategic enabler of faster, safer releases. 

AI-Enabled, Scalable Talent Solutions 

Outcome: Scalable expertise without long onboarding cycles 

AI tools are only as effective as the teams that deploy them. We provide specialized talent—regulatory technologists, QA engineers, data scientists—that bring both domain knowledge and AI fluency. 

• Accelerate proof-of-concept execution: Our teams integrate quickly into existing workflows, leveraging Agile and SAFe methodologies to deliver iterative value and maintain velocity. 
• Reduce internal training burden: AI-fluent professionals bring immediate impact, minimizing ramp-up time and aligning with sprint-based development cycles. 
• Ensure compliance alignment from day one: Specialists understand regulated environments and embed quality and traceability into every phase of the SDLC, consistent with Agile governance models. 

Whether you’re a CIO scaling digital health initiatives or a VP of Software managing multiple product lines, our AI-fluent teams integrate seamlessly to accelerate delivery and reduce risk. 

Proof of Concept Today, Scalable Solution Tomorrow 

Outcome: Informed investment decisions, future-ready capabilities 

Many of the AI capabilities discussed are already in early deployment or active pilot phases. Others are in proof-of-concept, with clear paths to scale. 

We understand that every organization is on a unique AI journey. Whether you’re starting from scratch, experimenting with pilots, or scaling AI across your enterprise, we meet you where you are. Our structured approach delivers value at every stage, helping you turn AI from an idea into a business advantage. 

As you evaluate your innovation and investment priorities across the SDLC, consider these questions: 

1. Are we spending too much time on manual documentation?
2. Do we have visibility into risk classification and mitigation?
3. Can our QA processes scale with product complexity?
4. How are we building responsible AI governance?
5. Do we have the right partner to operationalize AI?

Final Thought: AI Demands a Partner, Not Just a Platform 

AI isn’t the new compliance partner. It’s the next competitive edge, but only when guided by the right strategy. For MedTech leaders, AI’s real opportunity comes by adopting and scaling it with precision, speed, and confidence. That kind of transformation can be accelerated by a partner who understands the regulatory terrain, the complexity of the SDLC, and the business outcomes that matter most. 

No matter where you sit — on the engineering team, in the lab, in business leadership, or in patient care — AI is reshaping how MedTech companies build, test, and deliver value. 

From insight to impact, our industry, platform, data, and AI expertise help organizations modernize systems, personalize engagement, and scale innovation. We deliver AI-powered transformation that drives engagement, efficiency, and loyalty throughout the lifecycle—from product development to commercial success. 

• Business Transformation: Deepen collaboration, integration, and support throughout the value chain, including channel sales, providers, and patients. 
• Modernization: Streamline legacy systems to drive greater connectivity, reduce duplication, and enhance employee and consumer experiences. 
• Data + Analytics: Harness real-time data to support business success and to impact health outcomes. 
• Consumer Experience: Support patient and consumer decision making, product usage, and outcomes through tailored digital experiences. 

Ready to move from AI potential to performance? Let’s talk about how we can accelerate your roadmap with the right talent, tools, and strategy. Contact us to get started. 

Customer experience (CX) continues to be a defining factor in business success. In a digital-first world, even a single poor interaction can drive customers to competitors, contributing to an estimated $1.6 trillion in annual losses in the U.S. alone. On the other hand, exceptional omnichannel experiences build trust, deepen loyalty, and turn customers into lifelong advocates.

Perficient included in IDC Market Glance: Customer Experience Services, 2025

We’re proud to share that Perficient has once again been included in the category of IT Services Providers in the IDC Market Glance: Customer Experience Services, 2Q25 report (doc #US52469525, June 2025).

According to IDC, “Agentic AI and GenAI are working their way into marketing and sales technologies and services, beginning with a pragmatic focus on automating, improving and scaling existing business processes and offerings. New AI-based business models have yet to emerge, but AI is already putting existing CX services under pressure to change.”

Embracing an AI-First Future

As part of our AI-first company mission, Perficient is committed to helping organizations harness the power of artificial intelligence to revolutionize customer experiences. From the use of generative AI in content creation and virtual agents, to intelligent automation and predictive analytics, we’re enabling businesses to unlock new levels of personalization, efficiency, and growth.

Strategy Meets Innovation

Our strategists use Journey Science, a core component of our Envision Framework, to help clients identify opportunities, define a customer-centric vision, and build a prioritized roadmap for transformation. This approach ensures that every touchpoint is optimized to deliver seamless, personalized, and measurable experiences.

Operationalizing CX with Data and AI

The future of CX is rooted in customer obsession—and we help you execute that vision. By combining deep customer insights with AI-powered tools and data-driven strategies, we enable organizations to deliver extraordinary value at every stage of the customer journey.

Ready to elevate your customer experience strategy? Explore how Perficient’s AI-first approach and CX expertise can help you drive measurable results: Customer Experience + Digital Marketing Services | Perficient

Consumers aren’t waiting for healthcare to evolve—they’re already redefining what access means. They expect care to be affordable and available, but that’s only the beginning. Increasingly, they also demand experiences that are convenient, personalized, and digitally seamless. When those expectations aren’t met, they don’t hesitate to look elsewhere.

Understanding this shift requires more than demographic segmentation or digital analytics. It calls for a behavioral lens. Maslow’s Hierarchy of Needs and the Transtheoretical Model (TTM) offer complementary frameworks that, when applied together with journey sciences, reveal a spectrum of motivations driving healthcare decisions today. 

• Maslow helps us understand the “what”—the needs consumers are trying to meet, from cost and access to comfort, trust, and self-agency.
• TTM explains the “how”—the stages people move through as they prepare to engage with care.

But in today’s healthcare environment, these needs and behaviors don’t unfold in a predictable sequence. Instead, consumers express a unique blend of foundational requirements and lifestyle-driven expectations, shaped by digital-native habits and experiences in other service industries. 

This convergence of digital and human needs reframes how healthcare organizations must think about access to care.

The following five themes illustrate how a digital strategy informed by Maslow’s hierarchy, the Transtheoretical Model, and consumer insights can help healthcare leaders reduce friction, deepen engagement, and deliver measurable value across the care journey. 

Maslow’s Hierarchy Reimagined for Modern Healthcare 

Consumers still care about the basics—cost, insurance acceptance, and appointment availability. But they also expect experiences that reflect their identity, preferences, and time constraints. These expectations map to Maslow’s Hierarchy of Needs, but not in a linear way. 

• Foundational Needs: Insurance acceptance, out-of-pocket costs, appointment availability 
• Psychological Needs: Trust in providers, comfort with care teams, digital convenience 
• Self-Fulfillment Needs: Personalized experiences, proactive health management, seamless coordination 

Strategic Insight: Consumers are blending survival needs with lifestyle demands. Digital transformation must address both simultaneously. 

Behavioral Change is a Journey—Use the Transtheoretical Model to Guide It 

TTM offers a behavioral framework that aligns with how consumers engage with healthcare: 

Why it matters: Aligning digital tools with behavioral stages helps move consumers from passive to proactive engagement, improving both outcomes and retention. 

Caregivers Are the Hidden Power Users of Your Network 

One in three respondents in our 2025 Access to Care healthcare research study identified as caregivers. These important participants aren’t just supporting others. They’re often making the decisions about care teams, insurance plans, appointments, and more.

That means one person’s health care decisions can influence the outcomes and satisfaction of an entire household and beyond. Ignoring this persona means missing out on a major driver of patient loyalty and continuity. 

Design for Caregivers by Enabling: 

• Multi-profile scheduling 
• Shared access to care plans and records 
• Streamlined communication across care teams 

Friction is Expensive and Avoidable 

When scheduling is hard, people delay care or abandon it altogether. That’s not just a patient experience issue. It’s a revenue and health outcomes issue. Our 2025 Access to Care healthcare research study revealed that:

• 33.8% of caregivers reported difficulty scheduling care 
• 23.3% of all respondents who reported appointment-scheduling friction said this led to worsened health 
• More than 50% of those who experienced friction switched providers 

Actionable Moves: 

• Prioritize multi-modal engagement (digital, phone, in-person) 
• Integrate financial transparency into scheduling workflows 
• Design for caregivers—the hidden influencers of health decisions 

Healthcare is Competing With Commerce—And Losing Ground 

Digital-first care platforms are gaining traction because they’re easy, fast, and transparent. Consumers don’t compare healthcare to other hospitals or member portals—they compare it to Amazon, Uber, and their favorite apps. 

Strategic Response: 

• Treat Find-a-Provider as your digital front door 

• Use AI and predictive analytics to match patients with the right care, then make the path to schedule and receive care as seamless as possible

• Partner with urgent care and digital-first platforms to extend reach 

Final Word: Build for Behavior, Not Just Compliance 

Access isn’t a single point—it’s a cascade of decisions, behaviors, and expectations. By aligning digital strategy with a deep understanding of consumer behavior—whether through the lens of Maslow’s Hierarchy of Needs, the Transtheoretical Model (TTM), or journey sciences—healthcare leaders can design systems that are not only more human but more effective. 

Access is the new front door. Make sure it opens easily. 

Ready to Elevate Access to Care?

If you’re exploring how to modernize your digital front door, consider starting with a strategic assessment. Align your goals, audit your content, and evaluate your tech stack. The path to better outcomes starts with a smarter, simpler way to help patients find care.

We combine strategy, industry best practices, and technology expertise to deliver award-winning results for leading healthcare organizations.

• Business Transformation: Activate strategy for transformative outcomes and health experiences.
• Modernization: Maximize technology to drive health innovation, efficiency, and interoperability.
• Data + Analytics: Power enterprise agility and accelerate healthcare insights.
• Consumer Experience: Connect, ease, and elevate impactful health journeys.

Our approach to designing and implementing AI and machine learning (ML) solutions promotes secure and responsible adoption and ensures demonstrated and sustainable business value.

Discover why we have been trusted by the 10 largest health systems and the 10 largest health insurers in the U.S.  Explore our healthcare expertise and contact us to learn more.

Faced with rising patient volumes, care complexity, and financial and labor pressures, healthcare organizations are looking at new ways to deliver better outcomes more efficiently. Intelligent automation (IA) has emerged as a powerful solution for achieving operational excellence and enhancing decision-making.

This is the first installment of our Intelligent Automation in Healthcare blog series, where we’ll explore what IA really means, how it differs from previous automation solutions, and why it’s becoming essential for healthcare transformation.

In this series, we’ll go over 4 key areas of IA and what it means for healthcare organizations:

• This article, Part 1, discusses what IA really means and why it’s essential for healthcare transformation
• Part 2 considers how increasing patient volumes and care complexity are overwhelming healthcare systems, and how IA can help
• Part 3 considers the economic and operational pressures healthcare organizations face, and how IA supports cost control and revenue growth
• Part 4 explores how IA helps healthcare organizations meet regulatory mandates, manage risk, and build future-ready systems

How Intelligent Automation Is Streamlining Healthcare Workflows

The term automation has been around for decades, but its meaning has evolved significantly in recent years. In the 1990s and early 2000s, legacy automation focused on rules-based workflows such as claims routing or basic task automation. These solutions were rigid, code-intensive, and often required traditional process modeling and orchestration using BPMN (Business Process Model and Notation). While they previously offered some efficiency benefits, they currently lack the adaptability and intelligence needed for modern, scalable systems.

That’s where IA comes in. Intelligent Automation offers a more streamlined way of enabling real-time decisioning and dynamic workflows by leveraging different automation technologies together. It’s not accomplished by a single technology working independently, but rather through a combination of insights and technologies acting in concert.

Key Components of Intelligent Automation

It’s common for enterprises to approach automation through a technology lens like robotic process automation (RPA) and then report they are “fully automated.” These organizations sought a specific solution and, in most cases, are stretching the technology beyond its intended purpose.

While partial automation can be achieved through traditional digital process automation (DPA) platforms or process orchestration, IA occurs at the intersection of process mining, DPA, RPA, and artificial intelligence (AI). We are now moving towards an era of agentic frameworks, where automation isn’t limited to executing repetitive manual tasks or following predefined workflows, but also provides recommendations and decisions based on situational context and which actions can be taken.

Key components of Hyperautomation include:

• RPA and APA: Robotic process automation and the new Agentic process automation to not only automate repetitive tasks but also do complex automation with contextual awareness
• GenAI-enabled Process Discovery: Using generative AI to transform legacy business processes and application
• Agentic AI: Autonomous decision making within business workflows
• Case Management: Managing complex business process with defined stages and steps to move a case through it
• Intelligent Document Processing (IDP): Digitizing unstructured data from claims, enrollment forms, and faxes to enable seamless DPA across platforms.
• Low code/No code: Solution development with minimal coding effort

These technologies work together to reduce costs, improve process quality, and increase speed and agility—while also enhancing the experiences of patients, providers, and employees.

Learn More: Engineering Wellness and Efficiency in the Generative AI Era

The Need for Intelligent Automation Is Growing

Digital transformation demands agility and flexible frameworks ​that legacy systems do not support, which is accelerating the adoption of IA in healthcare.

The momentum is undeniable:

• In its 2025 healthcare predictions report, Forrester estimates that half of the top 10 U.S. health insurers will implement AI-powered tools to support contact center employees and care advocates​ in 2025.
• In its FutureScape Worldwide Healthcare Industry 2025 Predictions report, IDC predicts that by 2027, IA is projected to help the healthcare sector save up to $382 billion by enhancing efficiency across clinical, operational, and administrative workflows.

These trends reflect a growing acknowledgement that automation is not only a cost-saving tool, but a strategic enabler of better care delivery, operational resilience, and competitive advantage.

You May Also Enjoy: Reimagining Find Care: How AI is Transforming the Digital Healthcare Experience [Webinar]

How Intelligent Automation Can Transform Healthcare Organizations

IA is already transforming healthcare across a wide range of functions. Here are just a few examples of how it can improve patient, provider, and payer operations:

Conversational AI (using GenAI)

• Context search across multiple documents based on prompts
• Case summary and comparison of content

Document Triage

• Channel intake, classification, data extraction, validation, and entry
• Integration of specialized AI and generative AI for faster, more accurate processing

Patient & Provider Operations

• Patient enrollment, insurance and benefit verification, prior authorization, scheduling
• Provider validation and NPI search
• Provider lifecycle management

Pharmacy & Supply Chain

• Order fulfillment, inventory management, compliance, and patient profiling
• Manage supply chain disruptions with AI

Consultation & Care

• Case management, utilization management, clinical analytics, and value-based care
• Prior Auth modernization

Claims Processing

• End-to-end automation from claim ingestion to quality control and audit
• Member and provider outreach, Medicare coordination, and COB

Enrollment

• End to end automation of enrollment process for requests received from different channels

These use cases go beyond simple task automation by reimaging entire workflows to deliver better outcomes, reduce costs, and improve efficiencies.

Read More: Revolutionizing Clinical Trial Data Management with AI-Powered Collaboration

Empowering Intelligent Healthcare Solutions Through Automation

Perficient combines strategy, industry best practices, and technology expertise to deliver award-winning results for leading healthcare organizations:

• Business Transformation: Activate strategy for transformative outcomes and health experiences.
• Modernization: Maximize technology to drive health innovation, efficiency, and interoperability.
• Data Analytics: Power enterprise agility and accelerate healthcare insights.
• Consumer Experience: Connect, ease, and elevate impactful health journeys.

We are trusted by leading technology partners, mentioned by analysts, and Modern Healthcare consistently ranks us as one of the largest healthcare consulting firms.

Discover why we have been trusted by the 10 largest health systems and the 10 largest health insurers in the U.S. Explore our healthcare and automation expertise. Contact us to learn more.

And don’t miss Part 2 of this series, where we’ll be exploring how increasing patient volumes and care complexity are overwhelming healthcare systems, and how IA can help. See you then!

Clinical trial data management is critical to pharmaceutical research, yet it remains a significant challenge for many organizations. The industry faces several persistent hurdles:

Success In Action

Our tailored solution for a top-five life sciences leader integrated data from 13 sources and included bi-directional EDC integration and multiple AI models. Our deep understanding of clinical trial processes, data management, and platforms proved instrumental in delivering a solution that met—and exceeded—expectations. 

Want to know more about our approach to clinical trial data collaboration? Check out our guide on the subject.

Transform Clinical Data Review With An Expert Partner

Discover why the largest life sciences organizations – including 14 of the top 20 pharma/biotech firms, 6 of the top 10 CROs, and 14 of the top 20 medical device organizations – have counted on our world-class industry capabilities and experience with leading technology innovators. Our deep expertise in life sciences and digital technologies, including artificial intelligence and machine learning, helps transform the R&D process and deliver meaningful value to patients and healthcare professionals.

Contact us to learn about our life sciences and healthcare expertise and capabilities, and how we can help you transform your business.

Empower Healthcare With AI-Driven Insights

Every end product must meet and exceed customer expectations. For a successful delivery, it is not just about doing what matters, but also about how it is done by following and implementing the desired standards.

This post outlines the best practices to consider with IDMC CDI ETL during the following phases.

• Development
• Operations 

Development Best Practices

• Native Datatypes check between Database table DDLs and IDMC CDI Mapping Source, Target, and Lookup objects.
  • If any consistency is observed in IDMC mappings with Native Datatype/Precision/Scale, ensure that the Metadata Is Edited to keep them in sync between DDL and CDI mappings.
• In CDI, workflow parameter values in order to be consumed by the taskflows, a Dummy Mapping task has to be created where the list of Parameters/Variables needs to be defined for further consumption by tasks within the taskflows (Ex, Command task/Email task, etc)
  • Make sure to limit the # of Dummy Mapping tasks during this process
  • Best practice is to create 1 Dummy Mapping task for a folder to capture all the Parameters/Variables required for that entire folder.
  • For Variables whose value needs to be persistent for the next taskflow run, make sure the Variable value is mapped to the Dummy Mapping task via an Assignment task. This Dummy mapping task would be used at the start and end of the task flow to ensure that the overall task flow processing is enabled for Incremental Data processing.
• If some Audit sessions are expected to run concurrently within other taskflows, ensure that the property “Allow the mapping task to be executed simultaneously” is enabled.
• Avoid using the SUSPEND TASKFLOW option, as it requires manual intervention during job restarts. Additionally, this property may cause issues during job restarts.
• Ensure correct parameter representation using Single Dollar/Double Dollar. Incorrect representation will cause the parameters not to be read by CDI during Job runs.
• While working with Flatfiles in CDI mappings, always enable the property “Retain existing fields at runtime”.
• If a sequence generator is likely to be used in multiple sessions/workflows, it’s better to make it a reusable/SHARED Sequence.
• Use the Sequential File connector type for mappings using Mainframe VSAM Sources/Normalizer.
• If a session is configured to have STOP ON ERRORS >0, ensure the LINK conditions for the next task to be “PreviousTask.TaskStatus – STARTS WITH ANY OF 1, 2” within CDI taskflows.
• For mapping task failure flows, set the LINK conditions for the next task to be “PreviousTask.Fault.Detail.ErrorOutputDetail.TaskStatus – STARTS WITH ANY OF 1, 2” within CDI taskflows.
• Partitions are not supported with Sources under Query mode. Ensure multiple sessions are created and run in parallel as a workaround.
• Currently, parameterization of Schema/Table is not possible for Mainframe DB2. Use an ODBC-type connection to access DB2 with Schema/Table parameterization.

Operations Best Practices

• Use Verbose data Session log config only if absolutely required, and then only in the lower environment.
• Ensure the Sessions pick the parameter values properly during job execution
  • This can be verified by changing the parameter names and values to incorrect values and determining if the job fails during execution. If the job fails, it means that the parameters are READ correctly by the CDI sessions.
• Ensure the Taskflow name and API name always match. If different, the job will face issues during execution via the runAJobCli utility from the command prompt.
• CDI doesn’t store logs beyond 1000 mapping tasks run in 3 days on Cloud (it does store logs in Secure Agent). To retain Cloud job run stats, create Audit tables and use the Data Marketplace utility to get the Audit info (Volume processes, Start/End time, etc) loaded to the Audit tables by scheduling this job at regular intervals (Hourly or Daily).
• In order to ensure no issues with Generic Restartability during Operations, ensure a Dummy assignment task is introduced whenever the code contains Custom error handling flow.
• In order to facilitate SKIP FAILED TASK and RESUME FROM NEXT TASK operations, ensure every LINK condition has an additional condition appended, “Mapping task. Fault.Detail.ErrorOutputDetail.TaskStatus=1”
• If mapping task log file names are to be suffixed with the Concurrent run workflow instance name, ensure it is done within the Parameter file. IDMC mapping task config level is not capable due to parameter concatenation issues.
• Ensure to copy mapping task log files in the Secure agent server after job run, since IDMC doesn’t honour the “Save Session log for these runs” property set at the mapping task level when the session log file name is parameterized.
• Ensure Session Log File Directory doesn’t contain / (Slash) when used along with parameters (ex., $PMSessionLogDir/ABC) under Session Log Directory Path. When used, this would append every run log to the same log file.
• Concurrent runs cannot be performed on taskflows from the  CDI Data Integration UI. Use the Paramset utility to upload concurrent paramsets and use the runAJobCli utility to run taskflows with multiple concurrent run instances from the command prompt.

Conclusion

In addition to coding best practices, following these Development and Operations best practices will help avoid rework and save efforts, thereby achieving customer satisfaction with the Delivery.

Choosing a provider is one of the most personal decisions in healthcare. Yet, one in five consumers abandon healthcare organizations due to poor digital experiences.

In our recent webinar “Reimagining Find Care: How AI is Transforming the Digital Healthcare Experience,” healthcare leaders explored how AI-powered search, recommendations, and personalization are redefining access to care. Hosts Tara Becker, Perficient principal of healthcare and life sciences, and Mike Raley, Coveo SVP of marketing, detailed why this matters more than ever for health systems seeking to grow, compete, and deliver better outcomes.

Below, we break down the most important takeaways from the session:

1. Find Care Is the New Front Door—and It Must Feel Like Commerce

Healthcare is increasingly judged by the same standards as consumer brands like Door Dash and Expedia. Patients expect to search, compare, and book appointments as easily as they would a hotel or a ride share.

Key Insights:

• Digital access is a revenue driver. A seamless Find Care experience builds trust, drives patient acquisition, and reduces leakage.
• Friction leads to churn. 41% of consumers consider switching providers if the digital experience doesn’t meet expectations.
• Convenience drives action. Patients want to search by criteria that matters to them—location, gender, language, availability—and they want to book instantly.

Perficient’s Access to Care research study quantifies the direct impacts on business and health outcomes due to friction in the care journey.

2. AI-Powered Search and Personalization Are Game-Changers

AI relevance platforms like Coveo are transforming how patients find care. By unifying content, provider data, and real-time intent signals, AI enables hyper-personalized, intuitive experiences.

What AI Enables:

• Smart search that understands intent. Patients can type “family doctor near me” and instantly see relevant, bookable options.
• Dynamic filtering and recommendations. AI surfaces providers based on availability, insurance, and patient preferences.
• Generative answers grounded in trusted content. Patients get accurate, contextual responses—without hallucinations.

3. Strategy First: Align Digital Investments with Business Outcomes

Technology alone isn’t enough. A successful Find Care transformation starts with a clear strategy aligned to organizational goals.

Strategic Best Practices:

• Define your North Star. Establish KPIs that serve as success criteria for your new Find Care experience and prioritize service lines (e.g., cardiology, oncology, primary care) that drive revenue and impact.
• Map patient journeys. Understand your personas (e.g., caregivers, chronic patients), their preferences, expectations, journeys, and friction points. Design a seamless experience that removes obstacles and guides healthcare consumers to conversion.
• Audit and optimize content. Ensure provider profiles are robust and updated. Service line pages need to be relevant, actionable, and conversion-focused.

4. Build a Scalable, Interoperable Tech Stack

Find Care must integrate seamlessly with your existing systems—EHR, CRM, DXP, and more. Flexibility and interoperability are key.

Technical Considerations:

• Platform-agnostic design. Because our AI-powered Find Care solution is DXP-agnostic, it can be tailored for your organization and preferred martech stack, whether that includes Adobe, Sitecore, Acquia, Optimizely, WordPress, etc.
• Unified data layer. Connect provider directories, appointment systems, and content repositories so the most relevant information is delivered to users.
• HIPAA-compliant AI. Ensure patient data is secure while delivering personalized experiences.

5. Measure What Matters: From Clicks to Conversions

Digital success must be measured in business terms—not just traffic. Establish an outcomes dashboard that ties digital engagement to revenue, access, and health outcomes—and report it to the C-suite.

Metrics That Matter:

• Appointment conversions and completions
• Search abandonment and content gaps
• Patient satisfaction and Net Promoter Score (NPS)
• Operational efficiency (e.g., reduced call volume, fewer no-shows)

6. Start Small, Scale Smart

You don’t need to do everything at once. Begin with priority, high-impact experiences and service lines, then iterate.

A Phased Approach:

• Phase 1: Define a patient-centric Find Care blueprint.
• Phase 2: Implement Coveo for a powerfully integrated, unified search experience.
• Phase 3: Launch online appointment scheduling for primary care and urgent care.
• Phase 4: Expand to specialty services and guided journeys.
• Phase 5: Layer in generative AI and conversational experiences.

Final Thought: Find Care Is Not Just a Feature—It’s a Strategic Imperative

In an increasingly competitive and crowded health care marketplace, Find Care is your digital front door, your commerce engine, and your trust builder. AI-powered experiences are no longer optional—they’re expected.

Healthcare leaders who invest in intelligent, patient-centric digital pathways will not only win market share—they’ll improve outcomes, reduce costs, and build lasting loyalty.

Ready to Reimagine Your Find Care Experience?

If you’re exploring how to modernize your digital front door, consider starting with a strategic assessment. Align your goals, audit your content, and evaluate your tech stack. The path to better outcomes starts with a smarter, simpler way to help patients find care.

We combine strategy, industry best practices, and technology expertise to deliver award-winning results for leading healthcare organizations.

• Business Transformation: Activate strategy for transformative outcomes and health experiences.
• Modernization: Maximize technology to drive health innovation, efficiency, and interoperability.
• Data + Analytics: Power enterprise agility and accelerate healthcare insights.
• Consumer Experience: Connect, ease, and elevate impactful health journeys.

Our approach to designing and implementing AI and machine learning (ML) solutions promotes secure and responsible adoption and ensures demonstrated and sustainable business value. We are one of a select group of Coveo Platinum partners helping brands design, architect, and implement modern intelligent search solutions that empower users to be more successful and deliver a winning customer experience.

Discover why we have been trusted by the 10 largest health systems and the 10 largest health insurers in the U.S.  Explore our healthcare expertise and contact us to learn more.

Watch the On-Demand Webinar Now

Healthcare organizations (HCOs) face mounting pressure to boost operational efficiency, improve health and wellness, and enhance experiences. To drive these outcomes, leaders are aligning enterprise and business goals with digital investments that intelligently automate processes and optimize the health journey. 

Clinical intelligence plays a pivotal role in this transformation. It unlocks advanced data-driven insights that enable intelligent healthcare organizations to drive health innovation and elevate impactful health experiences. This approach aligns with the healthcare industry’s quintuple aim to enhance health outcomes, reduce costs, improve patient/member experiences, advance health equity, and improve the work life of healthcare teams. 

Intelligent Healthcare Organizations: Driven By Clinical Intelligence  

Our industry experts were recently interviewed by Forrester for their April 2025 report, Clinical Intelligence Will Power The Intelligent Healthcare Organization, which explores ways healthcare and business leaders can transform workflows to propel the enterprise toward next-gen operations and experiences. 

We believe the fact that we were interviewed for this report highlights our commitment to optimize technology, interoperability, and digital experiences in ways that build consumer trust, drive innovation, and support more-personalized care.  

We combine strategy, industry best practices, and technology expertise to deliver award-winning results for leading health plans and providers: 

• Business Transformation: Activate strategy for transformative outcomes and health experiences. 
• Modernization: Maximize technology to drive health innovation, efficiency, and interoperability. 
• Data Analytics: Power enterprise agility and accelerate healthcare insights. 
• Consumer Experience: Connect, ease, and elevate impactful health journeys. 

Understand and Deliver On Consumer Needs and Expectations 

Every individual brings with them an ever-changing set of needs, preferences, and health conditions. Now more than ever, consumers are flat out demanding a more tailored approach to their health care. This means it is imperative to know your audience. If you do not approach people as individuals with unique, personal needs, you risk losing them to another organization that does.  

Becoming an intelligent healthcare organization (IHO) takes more than just a technology investment; it is a complete restructuring of the enterprise to infuse and securely utilize clinical intelligence in every area and interaction.

In its report, Forrester defines an IHO as, “A healthcare organization that perpetually captures, transforms, and delivers data at scale and creates and seamlessly disseminates clinical intelligence, maximizing clinical workflows and operations and the experience of employees and customers. IHOs operate in one connected system that empowers engagement among all stakeholders.”

Ultimately, consumers – as a patient receiving care, a member engaging in their plan’s coverage, or a caregiver supporting this process – want to make and support informed health care decisions that cost-effectively drive better health outcomes. IHOs focus on delivering high-quality, personalized insights and support to the business, care teams, and consumers when it matters most and in ways that are accessible and actionable.

Orchestrate Better Health Access 

Digital-first care stands at the forefront of transformation, providing more options than ever before as individuals search for and choose care. When digital experiences are orchestrated with consumers’ expectations and options in mind, care solutions like telehealth services, find-care experiences, and mobile health apps can help HCOs deliver the right care at the right time, through the right channel, and with guidance that eases complex decisions, supports proactive health, and activates conversions. 

The shift toward digital-first care solutions means it is even more crucial for HCOs to understand real-time consumer expectations to help shape business priorities and form empathetic, personalized experiences that build trust and loyalty. 

In its report, Forrester states, “And as consumer trust has taken a hit over the past three years, it is encouraging that 72% of healthcare business and technology professionals expect their organization to increase its investment in customer management technologies.”  

Clinical intelligence, leveraged well, can transform the ways that consumers interact and engage across the healthcare ecosystem. IHOs see clinical intelligence as a way to innovate beyond mandated goals to add business value, meet consumers’ evolving expectations, and deliver equitable care and services.  

Interoperability plays a crucial role in this process, as it enables more seamless, integrated experiences across all digital platforms and systems. This interconnectedness ensures that consumers receive consistent, coordinated care, regardless of where they are seeking treatment and are supported by informed business and clinical teams. 

Mandates such as Health Level 7 (HL7) standards, Fast Healthcare Interoperability Resources (FHIR), and Centers for Medicare & Medicaid Services (CMS) Interoperability and Patient Access Final Rule are creating a more connected and data-driven healthcare ecosystem. Additionally, CMS price transparency regulations are empowering consumers to become more informed, active, and engaged patients. Price transparency and cost estimator tools have the potential to give organizations a competitive edge and drive brand loyalty by providing a transparent, proactive, personalized, and timely experience. 

The most successful organizations will build a proper foundation that scales and supports successive mandates. Composable architecture offers a powerful, flexible approach that balances “best in breed,” fit-for-purpose solutions while bypassing unneeded, costly features or services. It’s vital to build trust in data and with consumers, paving the way for ubiquitous, fact-based decision making that supports health and enables relationships across the care continuum. 

Success In Action: Empowering Healthcare Consumers and Their Care Ecosystems With Interoperable Data

Enable Caregivers and Care Teams 

As the population ages, caregivers play an increasingly important role in the healthcare journey, and their experience is distinct. They may continually move in and out of the caregiver role. It’s essential to understand and engage these vital partners, providing them with important tools and resources to support quality care.  

Clinical intelligence can provide HCOs with advanced insights into the needs of caregivers and care teams, helping clinical, operational, IT, digital, and marketing leaders design systems that support the health and efficacy of these important care providers.  

Integrated telehealth and remote monitoring have become essential to managing chronic conditions and an aging population. Intuitive, integrated digital tools and personalized messaging can help mitigate potential health barriers by proactively addressing concerns around transportation, costs, medication adherence, appointment scheduling, and more.  

A well-planned, well-executed strategy ideally supports access to care for all, creating a healthier and more-welcoming environment for team members to build trust, elevate consumer satisfaction, and drive higher-quality care.  

Success In Action: A Digital Approach to Addressing Health Equity 

Improve Operational Efficiencies for Care Teams 

HCO leaders are investing in advanced technologies and automations to modernize operations, streamline experiences, and unlock reliable insights.  

Clinical intelligence paired with intelligent automations can accelerate patient and member care for clinical and customer care teams, helping to alleviate stress on a workforce burdened with high rates of burnout.  

In its report, Forrester shares, “In Forrester’s Priorities Survey, 2024, 65% or more of healthcare business and technology professionals said that they expect their organization to significantly increase its investments in business insights and analytics, data and information management, AI, and business automation and robotics in the next 12 months.”  

It’s clear the U.S. healthcare industry stands on the cusp of a transformative era powered by advanced analytics and holistic business transformation. AI-driven automations can reduce administrative costs, while AI-enabled treatment plans offer hyper-personalized precision medicine. As technology continues to shape healthcare experiences, Felix Bradbury, Perficient senior solutions architect, shares his thoughts on the topic: 

“Trust is crucial in healthcare. Understanding how to make AI algorithms interpretable and ensuring they can provide transparent explanations of their decisions will be key to fostering trust among clinicians and patients.” 

AI can be a powerful enabler of business priorities. To power and scale effective use cases, HCOs are investing in core building blocks: a modern and secure infrastructure, well-governed data, and team training and enablement. A well-formed strategy that aligns key business needs with people, technology, and processes can turn data into a powerful tool that accelerates operational efficiency and business success, positioning you as an intelligent healthcare organization.  

Success In Action: Engaging Diverse Audiences As They Navigate Cancer Care 

Healthcare Leaders Turn To Us

Discover why we have been trusted by the 10 largest health systems and the 10 largest health insurers in the U.S. Explore our healthcare expertise and contact us to learn more.