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Healthcare BI and Analytics including Master Data Management, Targeted Analytics, Governance, Enterprise Data Strategy, and Data Assessment

Population Health: A Hot Topic At #HIMSS15

PopHealth-TreeI wrote a blog a couple of weeks ago about patient-powered research and I want to follow it up with a focus on population health. Population health efforts are intensely data-driven and require more data than is captured between the walls of hospitals or clinics. I’m working on an initiative right now to plan out how both structured and unstructured data can be harvested from EMRs and from social media (for example) to gain a 360 view of the patient population in a metropolitan area.

According to the U.S. Department of Health and Human Services, about 75 percent of the country’s eligible professionals and more than 91 percent of hospitals are on electronic health records certified for Stage 1 meaningful use. With the vast majority of personal health information being recorded in a sharable form, we’re poised to accelerate initiatives that will drive the need for HIT from many respects including:

  • Analytics – The accumulation and aggregation of data needed to improve outcomes and improve medicine.
  • Interoperability – The sharing of multiple sources of data needed to manage patient interactions.
  • Patient Engagement – The conversations and interactions with the patient when they are not within the four walls of traditional clinical setting.
  • Financial Management – The connection between the patient payment and the quality received.

An integrated analytics platform for improving population health provides insights to care providers, case managers and the individual patient. Care providers can see which patients need important health screenings or care interventions, setting the stage for enhanced preventive care and better management of chronic diseases. Patients can now be engaged at a higher level to achieve their care goals through many patient engagement platforms including both active and passive participation through portals and remote monitoring devices. Advancements in genomic profiling and personalized medicine will eventually innovate how we treat chronic diseases.

Interoperability is a key element of population health because all of this data is never in application, database or even one data center locality. Integrated systems streamline data sharing and support population health initiatives; however, many organizations don’t have a clear vision for how to meet the demands of the ever-changing healthcare industry.

The next couple of years look to be promising for the advancement of population health and it’s correlation to precision medicine through significant advancements in analytics. Perficient is well suited to attack these projects.

Population Health will be a hot topic at this year’s HIMSS conference, stop by and see Perficient at #HIMSS15 booth #4460 to continue the conversation.

Disruptive Analytics at #PopHealth15

I was at the Population Health Colloquium this past week presenting with @LesliAdams from Oracle’s HSGBU Strategy Team discussing the age old question of “Who champions the EDW in a Disruptive Analytics at #PopHealth15hospital setting?” Our presentation explored four types of change (Evolutionary, Disruptive, Imposed and Deliberate) and how all are needed in Healthcare. Group polling revealed that the preference was either “disruptive” or “purposeful” to get things done.

We went on to discuss the challenges and goals of integrating analytics (including retrospective data) into the clinician workflow within the EMR and how the Chief Informatics Officer is the best organizational role to champion analytics.

View the full presentation from the MINI SUMMIT IV: WHO IS YOUR CHAMPION OF CLINICAL OUTCOMES? NAVIGATING ENTERPRISE-WIDE ANALYTICS AND THE DIGITAL SAFETY NET.

The group, which included several clinicians also delved into the dialog of how clinical analytics and should influence clinical (EMR) workflow. There are many challenges, but the idea that Precision Medicine and Population Health can converge to improve patient outcomes is an exciting topic!

Perficient will also be at HIMSS 2015 #HIMSS15 during the week of April 12th in Chicago. Stop by to meet our dynamic team of Life Sciences and Healthcare experts at in booth #4460.

Follow me on twitter @teriemc

Tackling ACO Data Challenges

How do we engage patients, coordinate care, improve quality, lower costs and share savings all at Tackling ACO Data Challengesonce? A group of Accountable Care Organizations (ACOs) will be in Baltimore this week discussing this and other topics on establishing and sustaining ACOs.

One of the challenges of forming and sustaining ACOs is establishing shared goals and shared knowledge. I was involved in the airline industry earlier in my career and was part of the team who automated the On-time Departure and other performance metric bonuses at then Continental Airlines. Prior to this, I had dabbled in Change Management and Quality Assurance topics but this was my first real experience with “what you measure is what you improve” or “pay for performance”.

The ACO challenge is similar to the challenges of Performance Management within the diverse units of a hospital but it is complicated by the many different types of organizations (and communication languages) that may be partnering. I’m really looking forward to learning more about ACOs and how we can apply clinical analytics to costing solutions to measure and report shared savings.

Stay tuned for updates!

Follow me on twitter @teriemc

Leveraging Technology to Automate Healthcare Cost Management

I was pleased to see that Healthcare Cost Management was a hot topic in the healthcare agenda for Focusing on Healthcare Cost Managementthe Oracle Industry Connect event this past week. The agenda was packed with experts from Providence Health & Services, Ascension Health System and Kaiser Permanente discussing how they are all leveraging technology for automating and evolving their cost management solutions. I really enjoyed the panel discussion which was a combination of health policy and a reflection of success obtained and journey ahead of all three organizations.

Perficient contributed to the dialog by hosting a roundtable discussion related to Perficient’s High-Performance Costing Expressway. The group at lunch also deliberated on how cost management intersects with management of clinical trials.

It was a great event! Perficient will also be discussing Cost Management #CostofCare at HIMSS 2015 #HIMSS15 during the week of April 12th in Chicago. Stop by to meet our dynamic team of Life Sciences and Healthcare experts at in booth #4460.

Follow me on twitter @teriemc

#OracleIC15

Managing Population Health and Risk Stratification #PopHealth15

Although population health analytics begins with risk stratification it must quickly move to sub-population clinical Managing Population Health and Risk Stratificationanalytics and individual patient analytics. Risk stratification as a science will continue to mature as providers continue to improve:

  • Population demographic insight
  • Clinical analytics targeting risk-stratified sub-populations
  • Outcomes analytics based on risk-stratified sub-populations
  • Wellness strategies for active and passive populations

A provider that develops analytics strategies for identifying unique clinical factors for risk stratification will find insight and innovation within their data that can extend to the larger population. Being able to tie outcomes to population demographics improves a provider’s ability to develop strategies that are based not only on clinical conditions, but also on identifiable demographic markers such as familiarity and access to the internet or availability to a personal health record. Finally, wellness strategies for a demographic/clinical sub-population can be tuned to the clinical and demographic preferences of the sub-population.

In all this, analytics are the key to unlocking the insights that will drive innovation and improved the long-term outcomes of the population.

I will be speaking in conjunction with Oracle CMIO Dr. Sanjay Udoshi and Lesli Adams, MPA, Director of Clinical Informatics at the upcoming Population Health Colloquium in Philadelphia #PopHealth15.

Please join us at the MINI SUMMIT IV: WHO IS YOUR CHAMPION OF CLINICAL OUTCOMES? NAVIGATING ENTERPRISE-WIDE ANALYTICS AND THE DIGITAL SAFETY NET on Tuesday, March 24th at 1:30 EST.

For more information download our white paper:  Aligning Patient Outcomes with Financial Data

Follow me at @teriemc

HIT Solutions for Population Health

I’m going to take a “improve / disseminate disease management HIT Solutions for Population Healthand improve outcomes of the group” view of Population Health. The technology solutions that can be applied are vast. For the sake of this blog, I’d like to talk about these four:

  • Analytics – The accumulation and aggregation of data needed to improve outcomes and improve medicine.
  • Interoperability – The sharing of clinical data needed to manage patient interactions.
  • Patient Engagement – The conversations and interactions with the patient when they are not within the four walls of traditional clinical setting.
  • Financial Management – The connection between the patient payment and the quality received.

An integrated analytics platform for improving population health provides insights to care providers, case managers and the individual patient.   Care providers can see which patients need important health screenings or care interventions, setting the stage for enhanced preventive care and better management of chronic diseases. Patients can now be engaged at a higher level to achieve their care goals through many patient engagement platforms including both active and passive participation through portals and remote monitoring devices.

Interoperability is a key element of population health because all of this data is never in application, database or even one data center locality. Integrated systems streamline data sharing and support population health initiatives; however, many organizations don’t have a clear vision for how to meet the demands of the ever-changing healthcare industry.

While the technologies employed to achieve these goals most certainly include a data warehouse, analytic / predictive modeling and perhaps reasoning tools, I think the integration challenge is vast and perhaps overlooked. Most of what I read is very focused on more appealing topics like the dashboard or the cool visualization tool. However,  integration of this sort requires state of the art integration technology to do the heavy lifting on moving data and correlating data for the population health analytics platform.

Last, but certainly not least, there is the challenge of understanding the financial impact of treating the patient. Not speaking in terms of profitability here, but simply “are we putting our financial means behind the right care or populations of patients to achieve the best outcomes”. It is impossible to know without understanding cost vs. quality at the patient level.

How do we understand total cost of care? The Perficient High-Performance Costing Expressway enables transparency of fully burdened margin by service, patient and procedure. For decades, spreadsheets and costing software have been the best alternatives in determining cost of care. It is now more important than ever to transform these methods and leverage administrative, clinical and financial data in order to gain control of healthcare costs. Creating transparent costing models to indicate profitability across multiple dimensions of data is the key to driving healthcare costs down.

Embracing data-driven decision made for populations of patients requires agile thinking to pinpoint and respond to the short- and long-term needs of the organization. This shift requires finance departments to transcend from the typical focus on aggregating data to a value-added analytical view of hospital data. This new approach will provide greater visibility into changes in variables and assumptions and will require organizations to fully understand and ensure transparency exists for key performance indicators.

I will be speaking in conjunction with Oracle CMIO Dr. Sanjay Udoshi and Lesli Adams, MPA, Director of Clinical Informatics at the upcoming Population Health Colloquium in Philadelphia #PopHealth15.

Please join us at the MINI SUMMIT IV: WHO IS YOUR CHAMPION OF CLINICAL OUTCOMES? NAVIGATING ENTERPRISE-WIDE ANALYTICS AND THE DIGITAL SAFETY NET on Tuesday, March 24th at 1:30 EST.

For more information download our white paper:  Aligning Patient Outcomes with Financial Data

Predictive Analytics To Reduce Patient Readmissions

Patient readmissions are a big problem in U.S. hospitals and have become an area of focus for the healthcare industry and the Government. Patients that are readmitted to the hospital within 30 days of Predictive Analytics to Reduce Readmissionsbeing discharged increase healthcare costs approximately $17.5 billion annually. Hospitals are investing in predictive analytics solutions to help reduce patient readmissions and reduce overall medical costs. Predictive analytics can be a powerful tool for healthcare organizations not only to reduce patient readmissions but to help with population health management.

Perficient recently worked with a large healthcare system in Ohio to develop and implement a custom readmissions solution that predicts readmissions across all diseases and conditions. To learn more about this innovative solution, Stephanie Banks, Marketing Manager at Perficient, interviewed Senior Solution Architect, Dale Less. Read the interview here.

Gearing Up for 2015: 10 Trends Impacting Healthcare in 2015

HITS SNAPSHOT – GEARING UP FOR 2015 10 Trends Impacting Healthcare in 2015Technology is a major player in the evolving 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. In our recently released HIT SNAPSHOT we have identified ten trends impacting the healthcare industry that can help determine which technology investments should be made to achieve the greatest return on investment.

Download the guide now

Top 10 Healthcare Industry Trends Blog Posts from 2014

Top 10 Healthcare Industry Trends Blog Posts of 2014As we wrap up 2014, let’s take a look at the top 10 blog posts from our thought leaders. These blogs were published on Perficient’s Healthcare Industry Trends Blog.

If you missed these you may want to take a look.

#1. What the Market Says You Need in Your Patient Portal
by Melody Smith Jones | June 19, 2914

#2. Connected Health Trend Countdown: #1 Health Plans Go B2C
by Melody Smith Jones | February 5, 2014

#3. Changing Delivery and Spending of Medicaid Through DSRIP
by Priyal Patel | May 22, 2014

#4. Healthcare Gamification: Avoiding Chocolate Covered Broccoli
by Melody Smith Jones | February 4, 2014

#5. How Enterprise Mobility Management can Improve Patient Care
by Kate Tuttle | May 7, 2014

#6. Perficient Ranked One of the Largest Healthcare Consulting Firms
by Kate Tuttle | August 25, 2014

#7. Connected Health Trend Countdown in Review
by Melody Smith Jones | February 6, 2014

#8. Apple: The New Digital Hub for Healthcare Data
by Kate Tuttle | September 9, 2014

#9. Healthcare Benchmarking
by Priyal Patel | July 9, 2014

#10. The Problem with Health IT is in the Definition
by Kate Tuttle | October 13, 2014

 

 

Wearable Technology for All

The definition of wearable technology has changed as much as technology has in the last century. In the first waves of wearable technology we got the calculator watch, you know the one, featured in back to the future. Although we have yet to see a hover board, wearable technology has gone to unbelievable heights. From the iPhone 6, to Google Glass, the bar continues to be set higher.Calculator Watch

After the Google Glass Project (smart glasses), several other companies broke into the smart wearables market, including Apple (iWatch), Samsung (Galaxy Gear), and Sony (SmartWatch) shortly after Google. Now you can buy all types of devices, including watches, glasses, headbands, wigs, rings, etc. Using apps for personal and business computing, practical everyday tasks, fitness tracking, and healthcare monitoring.

I recently, purchased a Nike Fitband, hot pink and black of course. Syncing my iPhone with the app was the easy part, however, I learned that there was minimal features of use to me and this was not something I would keep (for $129). I returned it to the store. After that, my need for quick and convenient health data continued. I fed into the buzz around the Apple Healthkit. iPhone is wearable technology that I already was utilizing. So how could I optimize this device? The first thing I noticed was that it was automatically tracking my steps! “Sweet!” I then realized there was a plethora of data analysis tools that could keep track of my health, medical history, my fitness, and my nutrition. “Sweet, times three!”

Even as a psudo-millenial, as I attempted to use the app, I could not figure out how I could get data to input automatically. After doing some internet research, I was led to a list of Apps that can work/sync with the Healthkit. I was disappointed in the list as I was hoping to use the apps I already use, and are familiar with. They were not on the list. This list of new apps didn’t give me any indication if I needed any additional wearable technology (equals more money) to make them work. Some of them are free, some not, so how was I to choose? If I could find this information in one place, I may be able to quickly decide which apps to download or which piece(s) of wearable technology I would like to gather or start collecting.

All of this wearable technology is overwhelming. And I am only digging into the personal use market these apps are not so difficult to understand, it’s how to use them all together that is confusing. This is not only a common problem with all of our personal devices. There is a large business driven market calling for this problem to be resolved. Technology management is taking off; Hospitals have wearable and wireless technology in use all over a hospital, in many medical devices. The ability to capture and manage all the data and have it at one’s fingertips is one of the fastest going industries.

I love my wearable technology, however, just as with any market has quick progression, it may get messy before it gets better. As my life will only get busier, I am looking forward to learning all the opportunities this technology can give me to streamline my life. I encourage any busy person to look into free applications, they can simplify your day to day life in a great way. Can Siri be close to a personal assistant?! Not yet, but we are close!

3 Components for a Successful Hybrid Environment in Healthcare

It is no secret that healthcare organizations are collecting more information today than ever before. They’re collecting information about their own operations, their patients and the communities they serve. The challenge for healthcare organizations isn’t collecting the information, but analyzing the data and efficiently and securely storing it. Healthcare organizations that can overcome the data challenges and gain faster, fuller data insights will have the tools to positively impact patient care and overall business.3 Keys to a Successful Hybrid Environment in Healthcare

When it comes to data storage, healthcare organizations struggle with finding a balance between “on premise” and the cloud. Many CIOs recognize the need to expand beyond the home port and are quickly moving information to public clouds. However, they aren’t completely abandoning their data centers for fear they won’t have control or access to timely information. The hybrid IT solution helps to solve the data storage problem but it also brings a unique set of concerns in regards to data control, data access and data compliance.

Data Control
Data is much easier to control when it is housed in one central location. With a hybrid IT solution, however, you do not have that luxury. Data stored in multiple locations must be seamlessly connected, able to securely and efficiently move between locations and allow you to maintain full control across all platforms.

Data Access
The key to collaboration and improved patient outcomes is ensuring everyone who needs access to data has it. On the flip side, broad data access needs to be secure and only available to authorized users. With a hybrid IT solution integrated data supports collaboration beyond the walls of the healthcare facility.

Data Compliance
Changing regulations are putting added pressure on healthcare organizations. Keeping up with the evolving regulatory landscape is a challenge in itself and having information stored in multiple locations only adds to this complexity. Developing a strategy to protect data and manage it to ensure it meets regulatory requirements is critical to a hybrid IT solution.

Hybrid IT environments provide the best of both worlds when it comes to data storage and analysis. Leveraging a hybrid environment will lead to timely and accurate analysis of data which will result in the delivery of actionable insights for improved collaboration, better patient outcomes and overall lower cost of care.

Considering implementing a hybrid IT environment or just want to learn more? Join Perficient and UnityPoint Health for a discussion on the benefits of Power BI and Office 365, and how one technology-savvy healthcare provider is leveraging its hybrid environment of Power BI, Excel-enabled dashboards and SharePoint 2013.

Sign up for the November 12th webinar

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No Easy Outs in Healthcare BI, but a New Approach

When you played baseball as a youngster, and stepped into the batter’s box, the last thing you wanted to be was an “easy out”. Ironically, today many healthcare organizations are looking for the “easy out” to rapidly develop the business intelligence reporting needed to address regulatory reporting demands, population health No easy outs with healthcare BI, but a new approachmanagement and chronic condition management, to name just a few.

The pressure to quickly stand-up an enterprise data warehouse, put data governance in place, start loading and cleaning data is intense just to get to the point of creating dashboards and offering mobile BI. Overloaded Healthcare IT teams are dealing with demands to compress traditional time-frames of 18-24 months to get the BI foundation in place down to as little as 4-5 months, start to finish.

This situation begs the old saying of “do you want it fast or do you want it right?” You can bet the answer today is both. Generally, healthcare organizations develop a BI strategy that examines the current state BI architecture, envision a future state BI architecture, document the gaps and create a time phased roadmap to build out the infrastructure, software and development required to meet the business needs. Just describing the process tells us that it will be complex and time consuming, right? Read the rest of this post »