Category Archives: by Carl Johnson

Expanding the scope of healthcare data

With data and analytics accepted as valuable tools in population health management, questions are now focused on what kinds of data to include and how to best use it. Health care leaders quickly learned that the most accessible data – claims data – is important but not enough. It’s not particularly timely and it’s often […]
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The Data Zeitgeist of 21st Century Medicine

I vividly recall entering the health care information technology industry in 2007 with a personal sense of excitement and enthusiasm. That entry was met by a skeptical, cynical and even rebellious din from my physician peers. Preparing my HIT presentations for health care audiences forced me to shine up my inner Teflon armor. I respected […]
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Data-driven collaboration and teamwork

“The team! The team! The team!” Even as a dyed-in-the-wool Ohio State fan, I can still appreciate these six words spoken by Bo Schembechler, the famed coach of the University of Michigan (which we Buckeye fans like to refer to as “That team up north.”) His great speech is inspiring, even if you’re not a […]
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Rethinking department cooperation to build IT, HIE systems

To really manage clinical and financial risks, healthcare providers may need to do more with their data. To enable that goal, they may need to rethink how tasks are divided between departments. Health Data Management reported on an issue paper from the Workgroup for Electronic Data Interchange. WEDI found a strong health IT infrastructure and […]
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Performance improvement takes trustworthy data

I recently heard an expert/veteran/warrior of rapid-cycle Plan-Do-Study-Act (PDSA) performance improvement speak. Her enthusiasm for the important work of iterative improvement of health care through small-scale projects was palpable. Data was the one concept that surfaced most frequently in her presentation. As someone who started my PDSA work using golf pencils and tic marks, struggles […]
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Preventive care: Gauge potential to drive revenue

Say your patient population is the size of Cincinnati and Toledo combined, you might be able to fill up my beloved Buckeyes’ Ohio Stadium with patients who’ve skipped two years of well visits. I’m talking about 18 percent of your patients missing out on preventive care. What would closing that gap in care mean to […]
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Interest in predictive models tied to value-based care

There is a link between the transition to value-based care and an increased interest in analytics-based models that can successfully predict patient outcomes. As providers move to payment models that reward results over total number of procedures performed, they are accepting more financial liability. To meet that responsibility, providers must understand more about how their […]
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Comparing speed vs. value when measuring health outcomes

Health care organizations that are years into the transition to value-based care know a robust analytics solution that provides timely insights and actionable results can help them understand risk and manage patient populations. But what if you are just starting out? Analytics tools can help here too. They can help discover patterns in your data […]
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Coding can have a profound impact on quality of care

Coding and reimbursement have become almost synonymous in the health care industry. Diagnostic Related Groups (DRGs) have been the standard for inpatient reimbursement for more than 30 years, with the Inpatient Classification of Diseases (ICD) a global system used for public health and policy purposes. In the new era of pay-for-value, however, the type of […]
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Consumer awareness, prioritized resources make or break preventive service use

Increased emphasis on prevention in health care is good policy, but it can’t become good practice unless the services get to the people who need them. In an earlier post, I shared statistics about how older adults are less likely to seek out prevention programs, programs which could have prevented 2 million premature deaths. That […]
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