Literature DB >> 10193881

Using information systems to measure and improve quality.

D W Bates1, E Pappius, G J Kuperman, D Sittig, H Burstin, D Fairchild, T A Brennan, J M Teich.   

Abstract

Information systems (IS) are increasingly important for measuring and improving quality. In this paper, we describe our integrated delivery system's plan for and experiences with measuring and improving quality using IS. Our belief is that for quality measurement to be practical, it must be integrated with the routine provision of care and whenever possible should be done using IS. Thus, at one hospital, we now perform almost all quality measurement using IS. We are also building a clinical data warehouse, which will serve as a repository for quality information across the network. However, IS are not only useful for measuring care, but also represent powerful tools for improving care using decision support. Specific areas in which we have already seen significant benefit include reducing the unnecessary use of laboratory testing, reporting important abnormalities to key providers rapidly, prevention and detection of adverse drug events, initiatives to change prescribing patterns to reduce drug costs and making critical pathways available to providers. Our next major effort will be introduce computerized guidelines on a more widespread basis, which will be challenging. However, the advent of managed care in the US has produced strong incentives to provide high quality care at low cost and our perspective is that only with better IS than exist today will this be possible without compromising quality. Such systems make feasible implementation of quality measurement, care improvement and cost reduction initiatives on a scale which could not previously be considered.

Mesh:

Year:  1999        PMID: 10193881     DOI: 10.1016/s1386-5056(98)00152-x

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  25 in total

1.  A clinical information systems strategy for a large integrated delivery network.

Authors:  G J Kuperman; C Spurr; S Flammini; D Bates; J Glaser
Journal:  Proc AMIA Symp       Date:  2000

2.  Integration of health care process analysis in the design of a clinical information system: applying to the blood transfusion process.

Authors:  P Staccini; M Joubert; J F Quaranta; D Fieschi; M Fieschi
Journal:  Proc AMIA Symp       Date:  2000

3.  An information system for improving clinical laboratory outcomes.

Authors:  A L Asare; C W Caldwell
Journal:  Proc AMIA Symp       Date:  2000

4.  Towards health care process description framework: an XML DTD design.

Authors:  P Staccini; M Joubert; J F Quaranta; S Aymard; D Fieschi; M Fieschi
Journal:  Proc AMIA Symp       Date:  2001

5.  Electronically screening discharge summaries for adverse medical events.

Authors:  Harvey J Murff; Alan J Forster; Josh F Peterson; Julie M Fiskio; Heather L Heiman; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2003-03-28       Impact factor: 4.497

6.  Some unintended consequences of information technology in health care: the nature of patient care information system-related errors.

Authors:  Joan S Ash; Marc Berg; Enrico Coiera
Journal:  J Am Med Inform Assoc       Date:  2003-11-21       Impact factor: 4.497

7.  The use of computers for clinical care: a case series of advanced U.S. sites.

Authors:  David F Doolan; David W Bates; Brent C James
Journal:  J Am Med Inform Assoc       Date:  2003 Jan-Feb       Impact factor: 4.497

8.  Development of a workflow integration survey (WIS) for implementing computerized clinical decision support.

Authors:  Mindy Flanagan; Nicole Arbuckle; Jason J Saleem; Laura G Militello; David A Haggstrom; Bradley N Doebbeling
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

9.  Provider perceptions of colorectal cancer screening clinical decision support at three benchmark institutions.

Authors:  Jason J Saleem; Laura G Militello; Nicole Arbuckle; Mindy Flanagan; David A Haggstrom; Jeffrey A Linder; Bradley N Doebbeling
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

10.  Paper- and computer-based workarounds to electronic health record use at three benchmark institutions.

Authors:  Mindy E Flanagan; Jason J Saleem; Laura G Millitello; Alissa L Russ; Bradley N Doebbeling
Journal:  J Am Med Inform Assoc       Date:  2013-03-14       Impact factor: 4.497

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