Developing quality indicators and auditing protocols from formal guideline models: knowledge representation and transformations.

Aneel Advani, Mary Goldstein, Yuval Shahar, Mark A. Musen

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Automated quality assessment of clinician actions and patient outcomes is a central problem in guideline- or standards-based medical care. In this paper we describe a model representation and algorithm for deriving structured quality indicators and auditing protocols from formalized specifications of guidelines used in decision support systems. We apply the model and algorithm to the assessment of physician concordance with a guideline knowledge model for hypertension used in a decision-support system. The properties of our solution include the ability to derive automatically context-specific and case-mix-adjusted quality indicators that can model global or local levels of detail about the guideline parameterized by defining the reliability of each indicator or element of the guideline.

Original languageEnglish
Pages (from-to)11-15
Number of pages5
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - 1 Jan 2003
Externally publishedYes

ASJC Scopus subject areas

  • General Medicine

Fingerprint

Dive into the research topics of 'Developing quality indicators and auditing protocols from formal guideline models: knowledge representation and transformations.'. Together they form a unique fingerprint.

Cite this