Posts Tagged ‘analytics’
by December 29th, 2015on
We have compiled a list of the top 10 healthcare content assets of 2015. If you haven’t downloaded these valuable information assets you may want to do it now. Check them out below:
#10. Guide – 7 Features of a Market-Driven Patient Portal
As healthcare reform and transformation advances, providers will seek new ways to engage patients and influence behavior using connected health and will increasingly look for more advanced solutions that are proven to consistently motivate sustained behavioral change. These solutions are referred to as “Patient Portal 2.0.”
#9. Guide – Precision Medicine in Life Sciences and Healthcare
Treating disease has long entailed much trial and error: Start with a commonly prescribed medication and see if it works; if not, adjust the dosage and/or try different medicines until you figure out an effective solution. Trial and error can be damaging to patients’ bodies and psyches, as well as costly for insurance companies, and can lead to dissatisfaction with and distrust toward physicians and drug companies.
#8. On-Demand Webinar – Leveraging Technology to Empower Patients and Reduce Healthcare Costs
Telehealth, once reserved for the chronically ill, is now being used to drive increased revenue by creating services that scale beyond traditional geographic boundaries. In this webinar, Perficient and KP OnCall discuss how telehealth is impacting healthcare and how the nation’s leading telehealth provider is leveraging innovative technologies to meet business objectives.
#7. Guide – How to Enable Value-Based Care and Clinical Integration with Epic Cogito
We examine support for a value-based care initiative via the build out of IT enablers that leverage the native capabilities of Epic, such as Cogito, Epic’s data warehouse, Healthy Planet, Identity, and Radar in addition to other Epic and non-Epic analytics tools.
#6. On-Demand Webinar – IBM Watson Content Analytics: Discover Hidden Value in Your Unstructured Data
We demonstrate how to extract insights from unstructured data to increase the accuracy of healthcare decisions with IBM Watson Content Analytics. Leveraging years of experience from hundreds of physicians, IBM has developed tools and healthcare accelerators that allow you to quickly gain insights from this “new” data source and correlate it with the structured data to provide a more complete picture.
#5. Guide – Top 10 Connected Health Trends for 2015
As the healthcare industry continues to evolve, consumers remain at the center of the transformation. Consumer engagement continues to be a high-priority for healthcare organizations and connected health tools are the key to empowering healthcare consumers. In this guide, we will take a look at the top 10 connected health trends for 2015.
#4. On-Demand Webinar – A Real Retail Strategy for Healthcare
With a focus on providing high-quality, lower-cost care, the healthcare industry has been looking to the retail industry for strategies used to engage and empower consumers. Lessons learned include how to use the retail setting as a medium for providing care and how to engage consumers outside of the care setting by using technology.
#3. Guide – Gearing Up for 2015: 10 Technology Trends Impacting Healthcare
Technology is a major player in the dynamic healthcare environment, and organizations are increasing their health IT budgets to adapt to the “new” industry. Having the right technology in place can enhance patient experience, help meet regulatory requirements and provide key insights that reduce costs and improve outcomes.
#2. On-Demand Webinar – How Northwestern Medicine is Leveraging Epic Cogito to Enable Value-Based Care
Our webinar covered how Cadence Health, now part of Northwestern Medicine, is leveraging the native capabilities of Epic to manage their population health initiatives and value-based care relationships across the continuum of care.
#1. Guide – 10 Healthcare Analytics Trends for 2016
In this guide, we take a look at ten analytics trends healthcare executives need to be thinking about in 2016 and beyond. We identify technology strategies and solutions that will help healthcare organizations succeed in a data-driven, digital world.
Follow me @KateDTuttle
by December 22nd, 2015on
As we wrap up 2015 I wanted to take a look back at our most popular blog posts for the year. It is not a surprise that some of the more popular posts were about analytics, digital transformation and value-based care. Here are the top 10 posts from 2015:
#10. Empowering Patients: Engaging Beyond the Traditional Care Setting
Consumerism is changing how we interact with our care providers. Connecting patients more closely to care providers is especially important after discharge from a facility.
#9. IoT Not Just An Acronym: A Powerful Force Transforming Healthcare
Internet of Things (IoT) is not a new term. Nearly 20 years ago an MIT professor described a world where “things” are connected and able to share data. In healthcare, IoT is not a technology trend on the horizon, it is here today, and having an enormous impact on the healthcare industry.
#8. Infographic: Value-Based Care Transformation
Hospitals and health systems rely on technology and data to outline the characteristics of their population and identify high-risk patients in order to manage chronic diseases and deliver enhanced preventative care. Read the rest of this post »
by December 4th, 2015on
It is hard to believe we are in December already! Where has 2015 gone? We are still entrenched in the transformation of healthcare and it will be interesting to witness the continued evolution in 2016.
One area that will continue to be a focal point for healthcare organizations is analytics and the ability to transform large amounts of data into meaningful information that can be utilized to improve patient care and operational performance. Check out the below infographic for a look at 10 healthcare analytics trends for 2016. In our new guide, we take a deep dive into these trends and also provide some real-world client stories. Get the guide here or at the bottom of this post.
by November 13th, 2015on
I am teaming up with CIO David Chou (@dchou1107), an executive with more than 13 years of experience in the healthcare industry to bring you a series of blog posts that provide a unique perspective on some of the healthcare industry’s biggest trends and challenges. David has been named to several “Top Social CIO” and “CIOs to Know” lists. He is a visionary and resourceful leader with expertise in healthcare and digital technology and a proven track record of delivering innovative, state-of-the-art solutions.
In our first post we discussed the Evolving Role of the Healthcare CIO. Our second post, Embracing Digital Transformation took a look at how digital is impacting patient care and the overall mindset of healthcare organizations. In this interview we turn our attention to healthcare data and analytics. We have invited Priyal Patel, Solutions Architect and Consultant at Perficient, to share her healthcare analytics knowledge and insights gained from working with many largest healthcare organizations across the United States.
Before we get started with the interview I would like to invite you all to download our new healthcare analytics trend guide: 10 Healthcare Analytics Trends for 2016. In this guide we take a look at ten analytics trends healthcare executives need to be thinking about in 2016 and beyond. We identify technology strategies and solutions that will help healthcare organizations succeed in a data-driven, digital world.
DAVID: Rising healthcare costs, government regulations and incentives and value-based care initiatives are factors and motivators in analytics. Analytics is the number one priority for CIOs according to Gartner and it is also on top of the CEO’s mind. Healthcare is consolidating, margins are shrinking and reimbursement is declining. When I think of any business motto in providing the best quality of service at the lowest cost, the same rule applies in healthcare. We have to provide the best care for the lowest price and the only way to do that is to invest heavily in analytics. To combat rising healthcare costs, healthcare organization can use analytics and data to start putting together standards in the clinical treatment setting. This ranges from standardizing supplies, implants, and workflows to helping with the identification of patient costs. Every organization should leverage data to make informed decisions. Read the rest of this post »
by October 29th, 2015on
My colleague Stephanie Banks, Sr. Marketing Manager at Perficient recently wrote a blog post on our IBM blog announcing that Perficient had received a prestigious award from IBM. Perficient was recognized at IBM Insight and presented with the Worldwide Analytics Business Partner of the Year award. This award encompasses all solutions under IBM’s Analytics software brands, including Business Analytics, Enterprise Content Management, Information Management, Big Data and Watson. Perficient is an IBM Premier Business Partner and has delivered best-in-class solutions across a variety of industries including healthcare.
“Perficient’s industry expertise, combined with their deep technical strength across the entire IBM software portfolio, allows them to deliver best-in-class industry focused solutions,” said Rob Thomas, Vice President of Business Development for IBM Software Group, Information Management, “Perficient is an exemplary IBM Business Partner.”
Earlier this year Perficient was awarded the prestigious Beacon Award for an Outstanding Information Management Solution. This award recognized the Perficient Health Analytics Gateway, a robust package that leverages the IBM Healthcare Data Model and pulls together advanced tools into an intuitive, easy-to-use framework that can help healthcare organizations begin to generate results immediately. Accelerating integration from multiple data sources allows healthcare organizations to analyze big data more efficiently and gain key insights to run their business better.
- Reduce data integration time by more than 50%
- Populates key functional areas meeting the needs of many top use cases
- Standardized data for BI reporting
Follow us on Twitter: @Perficient_HC and @Perficient_IBM
by May 29th, 2015on
If you read the trade journals for hospitals and health systems, you are reading about cost transformation and cost management. That said, I think this really means different things to different people. In fact, I hear people say “cost” often when in fact they mean “expense”. This minor exchange of words really changes the subject. Today, I want to talk about moving toward cost vs. quality and how it will require two worlds to collide.
I wrote a blog a few months ago about taking a quality approach to ICD10 conversions and to some degree the same discipline will be required to bridge operational and clinical functions – including collaboration from the CFO, finance staff, CMO (Chief Medical Officer), CNO (Chief Nursing Officer) and division/department administrators – to consider quality, safety, patient satisfaction, and financial performance simultaneously. In some organizations, there may be a need to significantly and fundamentally rethink operations and what services and businesses are core to their mission. New productivity measures may emerge and new and different uses of technology may emerge. I think this is a fundamental culture shift which will require collaboration and significant leadership to see it through to completion. This, along with EMR adoption is rightly transforming healthcare and I’m not even talking about “BIG” data yet.
This culture shift should include an evolved IT staff as well. Priorities must be set for integrating and storing data to support these initiatives. The volume of data needed to extract and evaluate EMR patient-level data on a daily basis is not something for Excel. While data visualizations can take many forms, the data analysis for quality and cost has to be repeatable, sharable and trustworthy.
We are already seeing a trend of hospital CFO retirements … and I think there will be more. Tell me what you think?
If you are attending the Oracle Healthcare User Group @HIUG_Interact 2015, taking place in Las Vegas June 7-10, stop by booth #118, meet our dynamic team and discuss new ways to optimize your analytics!
Follow-me at teriemc
by May 27th, 2015on
My years of working with transactional systems helps me really appreciate the age old question of “how to get data out?” My curiosity about using data to gain actionable business insights started with the first computer program I ever developed. It was a natural progression of my problem-solving skills. I was involved with building transformational financial reporting applications to complement the then state of the art mainframe ERP applications in play at Continental Airlines. Time would prove this approach as not sustainable so I was very excited for the next phase of “pre-packaged analytics applications” such as Seibel Analytics and Essbase integration with Lawson ERP (both were “the best thing since sliced bread”).
Like most technology, these pre-packaged analytics applications have improved over time so I truly believe that BI managers should consider implementing them. These apps are prebuilt and aligned with functional and vertical business domains that are built on a pre-integrated, scalable data warehousing infrastructure. They are geared to organizations that want to accelerate the time it takes to deploy BI solutions and deliver an analytical complement to their packaged operational applications.
A packaged analytics application integrates all the components required to deliver a BI solution:
- Connectors to various packaged operational systems (i.e. CRM, ERP, Sales, EMR)
- An extendable and flexible enterprise data model
- Extract, transform and load (ETL) tools
- A BI semantic layer
- Query and reporting tools, including ad hoc capability
- Predefined metrics, reports and dashboards … sometimes hundreds of them.
Vendors of packaged solutions integrate these components using industry best practices and techniques. This is key because they also provide upgrades as the transactional data is improved and it means that customers get a best-in-class BI solution in weeks compared to months if they were to build a solution from scratch. The best analytics packages all run off the same enterprise model and platform so that healthcare organizations can start with one functional application and extend it with a comprehensive, integrated, enterprise BI solution one application at a time.
Pre-packaged solutions are readily available and should be considered as value add when making an evaluation of ERP and EMR applications. The two big EMR powerhouses are both providing some level of pre-packaged reporting solutions. The vendors know their data models and these pre-built solutions are the fastest way to measure what matters when it comes to common business transactions.
Pre-packaged applications play a vital role of aggregating data for a set of business processes, but if an enterprise expects to get true value of their data, the need for an “Enterprise” data warehouse still exists. This is why I am so passionate about these solutions … the chance to find new and actionable insights from data is the ultimate goal of analytics. We can’t find out the value without “mashing up” data across silos. For example: how to understand revenue to expense ratios or productivity metrics such as FTEs per unit sold, hours worked per billable test or how to correlate unstructured data such as social media data with structured data when evaluating a patient in a clinical trial.
Perficient implements both pre-packaged analytics and data warehouse technology across multiple platforms. The Oracle Enterprise Healthcare Analytics (EHA) platform is uniquely adaptable to breaking down the silos in healthcare though an integrated model that expands across finance, clinical and research domains.
If you are attending the Oracle Healthcare User Group @HIUG_Interact 2015, taking place in Las Vegas June 7-10, stop by booth #118, meet our dynamic team and discuss new ways to optimize your analytics!
Follow me on twitter at teriemc
by April 30th, 2015on
The healthcare industry tends to lag behind other industries when it comes to many things, especially the adoption and implementation of new technologies. There are several factors that contribute to this hesitancy, like the need to adhere to strict privacy and security regulations, new initiatives brought on by healthcare reform and consolidation within the industry. As technology continues to evolve, healthcare CIOs need to be able to identify and invest in technologies that will support key industry needs. CIOs should be looking for ways to leverage social, mobile, analytics and cloud (SMAC) solutions as they go through their software selection processes.
Here are 4 of the key actions necessary to leverage the power of SMAC:
Prepare for a hybrid IT environment
Healthcare organizations are facing several industry challenges and are feeling the pressure to transform their organizations in order to adapt to the evolving industry. The pressure to reduce costs, develop population health management capabilities and a shift to value-based reimbursement and payment models are requiring healthcare organizations to look beyond traditional solutions. In many cases CIOs are turning to a hybrid IT environment and leveraging external service providers within their solution architectures. A hybrid IT ecosystem means less and less in house, and puts added pressure on IT leadership because they are still responsible for governance, security and service of the IT systems.
Get in front of interoperability
Interoperability has become front-and-center in healthcare, integration of systems and data from multiple sources is critical to meeting the demands of the transforming healthcare industry. Interoperability is essential to leveraging social, mobile, analytics and cloud (SMAC) capabilities. Healthcare CIOs need to establish a strong interoperability foundation in order to take advantage of SMAC. Robust integration and health information exchange (HIE) are required to meet the demands of the transforming healthcare industry and integration of SMAC must be part of the interoperability roadmap.
Leverage social media to engage consumers and patients and promote your patient portal
When it comes to patient portals, many healthcare CIOs are focused on meeting the requirements of Meaningful Use, rather than creating an engaging portal. Healthcare organizations need to look beyond Meaningful Use and create a patient portal that engages and empowers their patients. CIOs need to include market-driven patient portal features like: dynamic scheduling, gamification and telehealth to meet the demands of the market. Learn more about the 7 Features of a Market-Driven Patient Portal here.
Simplify your architecture
We have all heard many times that less is more and this is good advice to follow when it comes to healthcare IT. Oftentimes, healthcare organizations have the opportunity to make room for innovation by retiring their legacy systems and applications. CIOs need to prioritize their legacy systems based on several factors including but not limited to: costs of maintenance and support, complexity and compliance. Industry consolidation has added to the complexity and increased the number of systems within healthcare organizations. Simplifying the architecture can be challenging but the improved patient care, efficiencies gained and overall results make it well worth it.
The transforming healthcare industry is putting additional strain on healthcare executives to provide high-quality care at an affordable cost. Utilizing technology to improve operational performance and enhance patient care is critical to the success of healthcare organizations. Digital transformation in healthcare is happening as we speak. Healthcare consumers are demanding transparency and convenience – what better way to connect and empower consumers than through the use of SMAC (social, mobile, analytics, cloud).
by January 9th, 2015on
The transformation of the healthcare industry from a fee for service model to a value-based care model will only succeed if healthcare providers are able to generate a complete, 360 degree view of the patient. In a recent blog Stephanie Banks, Senior Marketing Manager at Perficient, talks about how the importance of leveraging technology to uncover value in healthcare data:
Healthcare companies in the digital age are now responsible for vast amounts of data. This data is created and acquired on a daily basis, and the volumes are increasing substantially with each patient visit or interaction. Some information is stored in pre-determined, structured fields within Electronic Medical Records (EMR), claims or financial systems and is readily accessible with traditional analytics. Other information, such as doctor’s notes, patient surveys, call center recordings and diagnosis reports is saved in a free-form, textual format and is rarely used for analytics due to the limitations of traditional business intelligence solutions.
Experts suggest that up to 80% of enterprise data exists in an unstructured format, which means a large majority of critical data isn’t being considered or analyzed. Without accounting for this significant percentage of available information, healthcare organizations will find it challenging to make accurate and well-informed decisions that impact patient care and organizational operations.
by February 26th, 2014on
A few years ago, I transplanted my family from the south to Washington DC. I love the Capital, for its history, its influence, but we quickly realized we had left Mayberry and arrived on Jupiter. Horns honked and people moved around briskly. Maybe it was us – our naiveté — or maybe it was the community we had arrived in. But we quickly realized: “If you order french fries, you get french fries.” And only french fries. Months of dining out were spent, only to find that our presumed “condiments” were not standard with our order. We would have to ask for them and specify the quantity. French Fries and 2 ketchups, please.
Well I clicked my heels three times and eventually moved us back to our Mayberry. It’s been three years and my son and I will still giggle together when we order french fries and see someone going out of his or her way to offer ketchup. And when we say “Yes, Please”, we get several packets.
Consulting in Healthcare is no different. We’ve grown accustomed to the “build to spec” approach. You get exactly what you asked for.
I’m thankful to be a part of Perficient and the Oracle Healthcare Business Intelligence team. We share a common philosophy – understand what the customer wants to achieve, coach and advise available options, design and deliver a solution that fulfills their NOW problem and simultaneously prepared them for the next 5 years. It’s not just a report – it’s Healthcare Analytics. Read the rest of this post »
by February 17th, 2014on
While my interest is always in the convergence of technology like the Internet of Things and healthcare IT, the role of sensors in managing health and wellness is just exploding.
“The most popular device functionality in the wearable tech market is heart rate monitoring, with nearly 12 million such devices shipped in 2013. Pedometers and activity trackers accounted for a combined 16 million shipments over the same period.” (According to a report released Thursday by ABI Research)
You can’t turn anywhere without reading about the latest running gadgets, fitness bands, Bluetooth blood pressure cuffs, etc. In the inevitable rush to wearable computing, one key idea can get lost: what are we doing with all of that data?
The data produced by these devices and sensors has to be interpreted and turned into information that is actionable. The fitness band that looks at your goal of 10,000 steps, sees that you are at 8,000 steps right after dinner and encourages you for one final walk around the neighborhood, will ultimately win out over all others. In order to pull off that trick, we need analytics and, sometimes, predictive analytics.
Just as the sensors are working in the background without us even taking notice, the role of analytics, especially healthcare analytics, should be to inform, encourage and drive healthcare consumers to improve our behaviors or decisions without being intrusive. The goal of healthcare analytics or informatics should be to create an environment for the healthcare consumer that makes life better, easier and more enjoyable.
An example is when the running app sees your pace slowing down towards the end of a run, then it kicks in a song with a faster pace to help you finish strong. Today those apps require you to recognize that situation and take action of pressing a button. It’s all there but it’s not automated. What we need is that invisible intelligence that recognizes the situation and then takes action to assist us.
At HIMSS 2014, we will be seeing this jump in interest in predictive analytics as it applies to healthcare, especially two distinct types of predictive analytics.
- One type is the traditional forecasting model of advanced analytics that trends past information to predict future states.
- The second type of predictive analytics is statistical models that encompass multiple feeds or variables to predict a future outcome. This modeling is rapidly moving past the arena of data scientists who create the models and is moving more within the grasp of smart business analysts. These models can predict your longevity based on multiple factors like your BMI, blood sugar readings for diabetics and other factors from your medical history.
Of course, we want to be able to predict health outcomes, especially when faced with several choices for changing our behaviors or lifestyle. It will be exciting to see how healthcare application vendors are addressing this important next step in analytics.
The use of predictive analytics could really change the nature of a patient engagement with your doctor. How will we react when we see the outcome of our current lifestyle? Will we shut off Netflix bingeing and head to the gym? See you at HIMSS 2014 to find out! Stop by Perficient’s booth #2035 and tell us what you found out!