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

A. John Orzano, Claire R. McInerney, Davida Scharf, Alfred Tallia, Benjamin Crabtree

Research output: Contribution to journalArticle

42 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)489-505
Number of pages17
JournalJournal of the American Society for Information Science and Technology
Volume59
Issue number3
DOIs
StatePublished - Feb 1 2008

All Science Journal Classification (ASJC) codes

  • Software
  • Information Systems
  • Human-Computer Interaction
  • Computer Networks and Communications
  • Artificial Intelligence

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