A knowledge management model: Implications for enhancing quality in health care

Authors

  • A. John Orzano,

    1. Department of Family Medicine, Research Division, University of Medicine and Dentistry of New Jersey, Robert Wood Johnson Medical School, Somerset, NJ 08873, and Cancer Institute of New Jersey, New Brunswick, NJ
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  • Claire R. McInerney,

    1. School of Communication, Information and Library Studies, Rutgers, The State University of New Jersey, New Brunswick, NJ
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  • Davida Scharf,

    1. School of Communication, Information and Library Studies, Rutgers, The State University of New Jersey, New Brunswick, NJ
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  • Alfred F. Tallia,

    1. Department of Family Medicine, Research Division, University of Medicine and Dentistry of New Jersey, Robert Wood Johnson Medical School, Somerset, NJ 08873; Cancer Institute of New Jersey, New Brunswick, NJ; and Center for Research in Family Practice and Primary Care, Allentown, PA, Cleveland, OH, New Brunswick, NJ
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  • Benjamin F. Crabtree

    1. Department of Family Medicine, Research Division, University of Medicine and Dentistry of New Jersey, Robert Wood Johnson Medical School, Somerset, NJ 08873; Cancer Institute of New Jersey, New Brunswick, NJ; and Center for Research in Family Practice and Primary Care, Allentown, PA, Cleveland, OH, New Brunswick, NJ
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Abstract

Improving health care delivery is a pressing societal goal, and information scientists have a role in effecting change. Information science research has led to understanding theories and practices of information use within the informing professions, but information science and one of its subspecialties, Knowledge Management (KM), also have the potential to influence and enhance other professional disciplines. This concept paper makes the argument that KM is a beneficial framework to help health care clinicians manage their practices and ultimately administer quality care to their patients. The central argument is predicated on the assumption that medicine is a knowledge-based profession and that finding, sharing, and developing clinicians' knowledge is necessary for effective primary health care practice. The authors make the case that in an environment of a burgeoning body of health care research and the adoption of technology tools, physicians can benefit from understanding effective KM practice. The model as presented here borrows from recent information science scholarship in KM and is intended to inform intervention protocols for effective KM to improve quality of care.

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