Literature DB >> 10501126

Enhancing performance measurement: NCQA's road map for a health information framework. National Committee for Quality Assurance.

E C Schneider1, V Riehl, S Courte-Wienecke, D M Eddy, C Sennett.   

Abstract

Measuring the quality of health care delivery is one of the most critical challenges facing US health care. Performance measurement can be used to track the quality of care that health plans and medical groups deliver, but effective performance measurement requires timely access to detailed and accurate data. In 1996, the National Committee for Quality Assurance (NCQA) commissioned a report to learn what actions would improve health plans' capacity to electronically report performance data for the Health Plan Employer Data and Information Set (HEDIS). Tracking clinical performance will require not just clinical data stored in information systems, but an integrated health information framework. Seven features are essential to this framework: (1) it specifies data elements; (2) it establishes linkage capability among data elements and records; (3) it standardizes the element definitions; (4) it is automated to the greatest possible extent; (5) it specifies procedures for continually assessing data quality; (6) it maintains strict controls for protecting security and confidentiality of the data; and (7) it specifies protocols for sharing data across institutions under appropriate and well-defined circumstances. Health plans should anticipate the use of computerized patient records and prepare their data management for an information framework by (1) expanding and improving the capture and use of currently available data; (2) creating an environment that rewards the automation of data; (3) improving the quality of currently automated data; (4) implementing national standards; (5) improving clinical data management practices; (6) establishing a clear commitment to protecting the confidentiality of enrollee information; and (7) careful capital planning. Health care purchasers can provide the impetus for implementing the information framework if they demand detailed, accurate data on the quality of care.

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Year:  1999        PMID: 10501126     DOI: 10.1001/jama.282.12.1184

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  26 in total

1.  Derivation and evaluation of a document-naming nomenclature.

Authors:  S H Brown; M Lincoln; S Hardenbrook; O N Petukhova; S T Rosenbloom; P Carpenter; P Elkin
Journal:  J Am Med Inform Assoc       Date:  2001 Jul-Aug       Impact factor: 4.497

2.  Usability evaluation of the progress note construction set.

Authors:  S H Brown; S Hardenbrook; L Herrick; J St Onge; K Bailey; P L Elkin
Journal:  Proc AMIA Symp       Date:  2001

3.  Publicly disclosed information about the quality of health care: response of the US public.

Authors:  E C Schneider; T Lieberman
Journal:  Qual Health Care       Date:  2001-06

4.  Factors that influence line managers' perceptions of hospital performance data.

Authors:  Liane Soberman Ginsburg
Journal:  Health Serv Res       Date:  2003-02       Impact factor: 3.402

5.  Information technology as a tool to improve the quality of American Indian health care.

Authors:  Thomas D Sequist; Theresa Cullen; John Z Ayanian
Journal:  Am J Public Health       Date:  2005-10-27       Impact factor: 9.308

6.  MediClass: A system for detecting and classifying encounter-based clinical events in any electronic medical record.

Authors:  Brian Hazlehurst; H Robert Frost; Dean F Sittig; Victor J Stevens
Journal:  J Am Med Inform Assoc       Date:  2005-05-19       Impact factor: 4.497

Review 7.  An informatics blueprint for healthcare quality information systems.

Authors:  Joyce C Niland; Layla Rouse; Douglas C Stahl
Journal:  J Am Med Inform Assoc       Date:  2006-04-18       Impact factor: 4.497

8.  Causes of preventable visual loss in type 2 diabetes mellitus: an evaluation of suboptimally timed retinal photocoagulation.

Authors:  Rodney A Hayward; Claude Cowan; Veda Giri; Mary G Lawrence; Fatima Makki
Journal:  J Gen Intern Med       Date:  2005-05       Impact factor: 5.128

9.  Arthritis quality indicators for the Veterans Administration: implications for electronic data collection, storage format, quality assessment, and clinical decision support.

Authors:  Carl A Williams; Angelia D Mosley-Williams; J Marc Overhage
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

10.  Performance measurement in healthcare: part I--concepts and trends from a State of the Science Review.

Authors:  Carol E Adair; Elizabeth Simpson; Ann L Casebeer; Judith M Birdsell; Katharine A Hayden; Steven Lewis
Journal:  Healthc Policy       Date:  2006-05
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