From Concepts and Codes to Healthcare Quality Measurement: Understanding Variations in Value Set Vocabularies for a Statin Therapy Clinical Quality Measure | Zendy

Raja A. Cholan | Zendy; Nicole G. Weiskopf | Zendy; Doug L. Rhoton | Zendy; Bhavaya Sachdeva | Zendy; Nicholas V. Colin | Zendy; Shelby J. Martin | Zendy; David A. Dorr | Zendy

Open Access

From Concepts and Codes to Healthcare Quality Measurement: Understanding Variations in Value Set Vocabularies for a Statin Therapy Clinical Quality Measure

Author(s) -

Raja A. Cholan,

Nicole G. Weiskopf,

Doug L. Rhoton,

Bhavaya Sachdeva,

Nicholas V. Colin,

Shelby J. Martin,

David A. Dorr

Publication year - 2017

Publication title -

egems (generating evidence and methods to improve patient outcomes)

Language(s) - English

Resource type - Journals

ISSN - 2327-9214

DOI - 10.5334/egems.212

Subject(s) - computer science , terminology , set (abstract data type) , measure (data warehouse) , quality (philosophy) , identifier , value (mathematics) , health care , code (set theory) , data mining , machine learning , programming language , philosophy , linguistics , epistemology , economics , economic growth

The decisions CQM developers make about which concepts and code groups to include or exclude in value set vocabularies can lead to inaccuracies in the measurement of quality of care. One solution is that developers could provide rationale for these decisions. Endorsements are needed to encourage system vendors, payers, informaticians, and clinicians to collaborate in the creation of more integrated terminology sets.

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