Category Archives: Change Management

Your Population Health Analytics Needs…From Start to Finish

New Assessment and Discovery Tools

A couple of the most asked questions I receive from attendees at the conferences I speak at or attend is how to effectively start an analytics program and how do they take their current analytics program to the next level. These are tough questions for most healthcare organizations and areas I addressed in my book, Competing on Healthcare Analytics. The success of the book led me to believe that there was more that we could be doing to help healthcare organizations take the next step. After all, I helped Microsoft with their first global analytics function.

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Ready to Become a Population Health Analytics Competitor?

The healthcare industry generally recognizes the need for population health management. It has the potential to save lives, improve health and save money. A key component of population health management is analytics. But, as widely accepted as the need for population health management is the fact that most don’t know where to start. A survey of healthcare executives by Stoltenberg Consulting revealed that 41% of respondents identified data analytics and business intelligence as a priority for the year 2015. The problem is that 84% of them have questions about where to start their implementation efforts.

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The Foundational Approach to Population Health Analytics

The rate of change in the healthcare industry has been staggering. From Electronic Health Records to ICD-10 to Population Health, few industries have undergone such change in such a short amount of time. The silver lining in this change is the treasure trove of digital data, which will enable providers to analyze and compare information across thousands of patients instead of relying on the anecdotal evidence they previously used.

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Top Challenges to Analytics in Healthcare? Not Technology!

A variety of challenges stand in the way of successfully implementing analytics in healthcare organizations. Not surprisingly, the top issues don’t always involve technology.

This finding became clear in a study conducted by the Healthcare Center of Excellence this summer, which sought to determine what are perceived to be the top challenges facing analytics.

The study reveals the importance of executive leadership skills in bringing about support of analytics and the extent to which findings from analytic efforts are incorporated into how organizations change and adapt. This aspect of leadership, while learnable, needs to happen quickly if organizations want to achieve the desired incomes from their forays into analytics.

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Medical Informatics World 2016

April 4-5, 2016, Boston, MA

Now in its fourth year, Medical Informatics World has become a must-attend industry event, uniting senior-level executives and industry leaders representing all the major contributors to a new era of healthcare. More than 400 providers, payers, technology providers, biomedical scientists, academic researchers, informaticists and national health organizations come together to discuss emerging trends and collaborations in health IT for improved outcomes in the healthcare ecosystem. Focused tracks allow the community to delve into the most pressing topics of cross-industry data sharing, population health, patient engagement, and clinical decision support. Keeping pace with the evolving industry, coverage has now expanded to include quantitative imaging and radiomics, predictive analytics and interoperability.


Start With Champions, Not Antagonists – Like the Dancing Shirtless Guy

This article very interesting and contrary point of view towards leadership. Mr. Murphy is right on target though and his concepts are proven by watching how a dancing shirtless guy (see video below) creates a (change) movement. It’s uncanny how dead on he is. The ‘first follower’ would be the same as the champion. Enjoy.

In Change Management, Start With Champions, Not Antagonists

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Cleveland Clinic makes analytics available

This is an interesting development. It may be the only way some smaller hospital systems receive any assistance with healthcare analytics.

Cleveland Clinic makes analytics available


Process – The Neglected Continuum in Healthcare

Healthcare is undergoing a period of tremendous change, and while EHRs have gotten a great deal of attention, lately, the implementation of an EHR is only the first step in a long journey to becoming a data-enabled healthcare organization.

Process – The Neglected Continuum in Healthcare.


No interoperability? Goodbye big data

Interoperability is extremely important to creating large datasets for analysis. Even with interoperability, there’s a huge gap in how most healthcare organizations gather and connect their own data. Without an internal data strategy, interoperability with outside systems will have little impact. #nointeroperability

No interoperability? Goodbye big data


The Root Cause of Many EHR Failures is Poor Leadership

by J. Bryan Bennett

We recently learned of another C-level executive resigning over a failed or challenged EHR implementation (CEO of Georgia Hospital Resigns After Rocky EHR Implementation). These stories are beginning to come with increased frequency as most healthcare organizations are deep into their EHR implementation cycle. If you look closely, the reasons are almost always the same, i.e., lack of physician engagement, difficult implementation time frames or lack of the proper resources. When I read these stories, I usually come to one primary reason for the failure – bad leadership in two distinct areas.

The Root Cause of Many EHR Implementation Failures is Bad Leadership