International Journal of Medical Informatics
Volume 53, Issue 2 , Pages 115-124, 1 February 1999

Using information systems to measure and improve quality

  • David W. Bates

      Affiliations

    • Partners Information Systems, Boston, MA 02115, USA
    • Brigham and Women's Hospital, Boston, MA, USA
    • Corresponding Author InformationCorresponding author
  • ,
  • Elizabeth Pappius

      Affiliations

    • Partners Information Systems, Boston, MA 02115, USA
  • ,
  • Gilad J. Kuperman

      Affiliations

    • Partners Information Systems, Boston, MA 02115, USA
  • ,
  • Dean Sittig

      Affiliations

    • Partners Information Systems, Boston, MA 02115, USA
  • ,
  • Helen Burstin

      Affiliations

    • Brigham and Women's Hospital, Boston, MA, USA
  • ,
  • David Fairchild

      Affiliations

    • Brigham and Women's Hospital, Boston, MA, USA
  • ,
  • Troyen A. Brennan

      Affiliations

    • Brigham and Women's Hospital, Boston, MA, USA
  • ,
  • Jonathan M. Teich

      Affiliations

    • Partners Information Systems, Boston, MA 02115, USA
    • Brigham and Women's Hospital, Boston, MA, USA

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.

Keywords: Quality of care, Measurement, Improvement, Decision support, Integrated delivery system

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PII: S1386-5056(98)00152-X

International Journal of Medical Informatics
Volume 53, Issue 2 , Pages 115-124, 1 February 1999