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New paradigms for measuring clinical performance using electronic health records

Abstract

Measures of provider success are the centerpiece of quality improvement and pay-for-performance programs around the globe. In most nations, these measures are derived from administrative records, paper charts and consumer surveys; increasingly, electronic patient record systems are also being used. We use the term ‘e-QMs’ to describe quality measures that are based on data found within electronic health records and other related health information technology (HIT). We offer a framework or typology for e-QMs and describe opportunities and impediments associated with the transition from old to new DATA SOURCES: If public and private systems of care are to effectively use HIT to support and evaluate health-care system quality and safety, the quality measurement field must embrace new paradigms and strategically address a series of technical, conceptual and practical challenges.

Weiner JP, Fowles JB, Chan KS. New paradigms for measuring clinical performance using electronic health records. Int J Qual Health Care. 2012 Jun;24(3):200–5.

21 May 2012

Bibliographic Data

Title:

New paradigms for measuring clinical performance using electronic health records

Author(s):

Weiner, Jonathan P.; Fowles, Jinnet B.; Chan, Kitty S.

Journal

International Journal for Quality in Health Care, 24(3), pp. 200-205
(2012-04-06)

URL:

Full article

DOI:

10.1093/intqhc/mzs011

PMID:

22490301

Keyword(s):

Electronic Health Records, Health Information Technology, Meaningful Use, Performance, Quality of Health Care, United States

Citation:
Weiner JP, Fowles JB, Chan KS. New paradigms for measuring clinical performance using electronic health records. Int J Qual Health Care. 2012 Jun;24(3):200–5.

Other Publications

In ICMCC Database

All International Journal for Quality in Health Care articles (3).

Other article(s) by

Jonathan P. Weiner (2).

Kitty S. Chan (1).

Discussion




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Affiliated University Institutes

Johns Hopkins University - Bloomberg School of Public Health - Department of Health Policy and Management, USA

Johns Hopkins University - Division of Health Sciences Informatics, USA

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PubMed

Jonathan P. Weiner
Jinnet B. Fowles
Kitty S. Chan

Google Scholar

Jonathan P. Weiner
Jinnet B. Fowles
Kitty S. Chan

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