Case study: Improving patient cohorts with comprehensive code mapping
Duke Health’s IMO-enabled computational phenotype has dramatically improved their ability to quickly and accurately identify specific patient cohorts.
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Duke Health’s IMO-enabled computational phenotype has dramatically improved their ability to quickly and accurately identify specific patient cohorts.
The ability to help or learn from specific patient cohorts is contingent upon being able to accurately identify them. Value sets are the tool of choice for this task, but as a recent HIMSS-IMO survey has revealed, the vast majority of respondents find them challenging to define and maintain.
Value sets are powerful tools used to accurately identify patient cohorts. With use cases ranging from population health management, to billing and claims needs, to quality reporting initiatives, it’s hard to find a health system that doesn’t leverage them in some way. Find out how they can be employed when caring for patients with chronic conditions with IMO Precision Chronic Condition Sets.