Category Archives: Healthcare Transformation

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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IBM Watson Health Closes Acquisition of Truven Health Analytics

This could have a significant impact on moving the industry closer to becoming data enabled healthcare.



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.

Using data to move toward transparency: Six things health care providers can do

With high-deductible health plans increasing in popularity, cost and accountability for outcomes will become more important to consumers seeking medical providers. Additionally, provider organizations managing risk-based contracts will have additional motive to increase transparency to earn trust and instill loyalty with patients.

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Cancer Centers, Epic to Tap Power of IBM Watson Supercomputer

A supercomputer like IBM’s Watson is needed to be able to analyze the large number of detailed records needed to “develop patient treatment protocols, personalize patient management for chronic conditions, and intelligently assist doctors and nurses by providing relevant evidence from the worldwide body of medical knowledge, putting new insight into the hands of clinical staff.” The key to the success would be able to share and analyze patient-specific data in real time, a part of the standard workflow. This will allow Watson to “bring forth critical evidence from medical literature and case studies that are most relevant to the patient’s care.”

Cancer Centers, Epic to Tap Power of IBM Watson Supercomputer

Epic, Watson at work on interoperability

IBM’s Watson targets cancer and enlists prominent providers in the fight


Data analytics top concern, but industry stumped about where to start

This is not unexpected. I discussed this problem at the Healthcare Analytics Symposium in July 2014. Even if most healthcare organizations knew where to start, they would still be missing the talent and data management capabilities to be effective. #beginhealthcareanalytics

Data analytics top concern, but industry stumped about where to start