Work

Clinician perspectives on the quality of patient data used for clinical decision support: a qualitative study.

Year: 2012

Type: conference-paper

Abstract: OBJECTIVE: Clinical decision support (CDS), defined broadly as patient-specific information and knowledge provided at the point of care, depends on a foundation of high quality electronic patient data. Little is known about how clinicians perceive the quality and value of data used to support CDS within an electronic health record (EHR) environment. METHODS: During a three-year research study, we collected ethnographic data from ten diverse organizations, including community hospitals, academic medical centers and ambulatory clinics. RESULTS: An in-depth analysis of the theme "data as a foundation for CDS" yielded a descriptive framework incorporating five subthemes related to data quality: completeness, accessibility, context specificity, accuracy, and reliability. CONCLUSION: We identified several multi-dimensional models that might be used to conceptualize data quality characteristics for future research. These results could provide new insights to system designers and implementers on the importance clinicians place on specific data quality characteristics regarding electronic patient data for CDS.

Source: PubMed

Authors: James L McCormack, Joan S Ash

Institution: Oregon Health & Science University

Language: English

Topic: Electronic Health Records Systems

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funder: U.S. National Library of Medicine

Awards: Clinical Decision Support in Community Hospitals: Barriers & Facilitators, Clinical Decision Support in Community Hospitals: Barriers & Facilitators, Research Training in Biomedical Informatics and Data Science at Oregon Health & Science University