Understanding the architecture of IMO Precision Sets

In medicine, value sets are key to identifying populations of interest. But without knowing who builds them – and how – it can be hard to trust their accuracy. Learn how IMO is taking on value sets – from scope definition, to architecture, to ongoing maintenance.
PrecisionSets_WP

In health informatics, a value set is a collection of codes or terms that are taken from a healthcare terminology and then grouped together. These groups, or lists, of codes help create patient cohorts designed to achieve a specific objective. Hospitals and health systems often create their own value sets or leverage publicly available ones to identify these patient cohorts, as they can help inform quality reporting and support better clinical decision making.

However, the quality of value sets* matters. A lot. Without thoughtful and deliberate development, along with meticulous maintenance, the value of value sets is diminished. And without input and guidance from experienced clinical terminologists, it’s easy to question their validity.

In this technical white paper, Eric Rose, MD, IMO’s Vice President of Clinical Informatics, explains the detailed architecture of IMO Precision Sets, IMO’s value set solution. The paper explores how IMO Precision Sets are built to leverage our market-leading clinical interface terminology solution and describes the processes by which IMO Precision Sets content is built, tested, and maintained.

*Epic users may know these as “groupers.”

Interested in more IMO Health resources?

Sign up today and have resources delivered straight to your inbox.

Latest Resources​

Without standardized clinical terminology, patient care suffers. See how AI and structured data improve accuracy, workflows, and safety.
Robust clinical terminology mapped to the right codes is the quickest path to optimizing reimbursement. Learn how precision pays in the post...
Save money in the OR and boost your bottom line with these three practical strategies for smart surgery scheduling.