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

40 Citations (Scopus)

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

Fingerprint

Knowledge management
knowledge management
Health care
Information science
health care
information science
profession
Information use
Medicine
physician
Management model
Healthcare
medicine
knowledge

All Science Journal Classification (ASJC) codes

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

Cite this

@article{77c0818ac799449f934a69d9c48b2349,
title = "A knowledge management model: Implications for enhancing quality in health care",
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.",
author = "{John Orzano}, A. and McInerney, {Claire R.} and Davida Scharf and Alfred Tallia and Benjamin Crabtree",
year = "2008",
month = "2",
day = "1",
doi = "10.1002/asi.20763",
language = "English (US)",
volume = "59",
pages = "489--505",
journal = "Journal of the Association for Information Science and Technology",
issn = "2330-1635",
publisher = "John Wiley and Sons Ltd",
number = "3",

}

A knowledge management model : Implications for enhancing quality in health care. / John Orzano, A.; McInerney, Claire R.; Scharf, Davida; Tallia, Alfred; Crabtree, Benjamin.

In: Journal of the American Society for Information Science and Technology, Vol. 59, No. 3, 01.02.2008, p. 489-505.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A knowledge management model

T2 - Implications for enhancing quality in health care

AU - John Orzano, A.

AU - McInerney, Claire R.

AU - Scharf, Davida

AU - Tallia, Alfred

AU - Crabtree, Benjamin

PY - 2008/2/1

Y1 - 2008/2/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=39649092104&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=39649092104&partnerID=8YFLogxK

U2 - 10.1002/asi.20763

DO - 10.1002/asi.20763

M3 - Article

AN - SCOPUS:39649092104

VL - 59

SP - 489

EP - 505

JO - Journal of the Association for Information Science and Technology

JF - Journal of the Association for Information Science and Technology

SN - 2330-1635

IS - 3

ER -