Knowledge elicitation approach in enhancing tacit knowledge sharing

Knowledge elicitation approach in enhancing tacit knowledge sharing Purpose – The purpose of this paper is to present an automatic Medical Knowledge Elicitation System (MediKES), which is designed to improve elicitation and sharing of tacit knowledge acquired by physicians. The system leverages the clinical information stored in electronic medical record systems, by representing the acquired information in a series of knowledge maps. Design/methodology/approach – The system architecture of the proposed MediKES is first discussed, and then a case study on an application of the proposed system in a Hong Kong medical organization is presented to illustrate the adoption process and highlight the benefits that can be realized from deployment of the MediKES. Findings – The results of the case study show that the proposed solution is more reliable and powerful than traditional knowledge elicitation approaches in capturing physicians' tacit knowledge, transforming it into a machine‐readable form, as well as enhancing the quality of the medical judgment made by physicians. Practical implications – A prototype system has been constructed and implemented on a trial basis in a medical organization. It has proven to be of benefit to healthcare professionals through its automatic functions in representing and visualizing physicians' diagnostic decisions. Originality/value – Knowledge is key to improving the quality of the medical judgment of physicians. However, researchers and practitioners are still striving for more effective ways of capturing tacit knowledge and transforming it into a machine‐readable form so as to enhance knowledge sharing. In this paper, the authors reveal that the knowledge retrieval and the visual knowledge representation functions of the proposed system are able to facilitate knowledge sharing among physicians. Thus, junior physicians can use it as a decision support tool in making better diagnostic decisions. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Industrial Management & Data Systems Emerald Publishing

Knowledge elicitation approach in enhancing tacit knowledge sharing

Industrial Management & Data Systems, Volume 111 (7): 26 – Aug 23, 2011

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Publisher
Emerald Publishing
Copyright
Copyright © 2011 Emerald Group Publishing Limited. All rights reserved.
ISSN
0263-5577
DOI
10.1108/02635571111161280
Publisher site
See Article on Publisher Site

Abstract

Purpose – The purpose of this paper is to present an automatic Medical Knowledge Elicitation System (MediKES), which is designed to improve elicitation and sharing of tacit knowledge acquired by physicians. The system leverages the clinical information stored in electronic medical record systems, by representing the acquired information in a series of knowledge maps. Design/methodology/approach – The system architecture of the proposed MediKES is first discussed, and then a case study on an application of the proposed system in a Hong Kong medical organization is presented to illustrate the adoption process and highlight the benefits that can be realized from deployment of the MediKES. Findings – The results of the case study show that the proposed solution is more reliable and powerful than traditional knowledge elicitation approaches in capturing physicians' tacit knowledge, transforming it into a machine‐readable form, as well as enhancing the quality of the medical judgment made by physicians. Practical implications – A prototype system has been constructed and implemented on a trial basis in a medical organization. It has proven to be of benefit to healthcare professionals through its automatic functions in representing and visualizing physicians' diagnostic decisions. Originality/value – Knowledge is key to improving the quality of the medical judgment of physicians. However, researchers and practitioners are still striving for more effective ways of capturing tacit knowledge and transforming it into a machine‐readable form so as to enhance knowledge sharing. In this paper, the authors reveal that the knowledge retrieval and the visual knowledge representation functions of the proposed system are able to facilitate knowledge sharing among physicians. Thus, junior physicians can use it as a decision support tool in making better diagnostic decisions.

Journal

Industrial Management & Data SystemsEmerald Publishing

Published: Aug 23, 2011

Keywords: Hong Kong; Medical diagnosis; Medical treatment; Doctors; Knowledge elicitation; Electronic medical records; Knowledge sharing; Concept map; Medical decision support

References

  • Expert knowledge elicitation to improve mental and formal models
    Ford, D.N.; Sterman, J.D.
  • Knowledge acquisition for decision support systems on an electronic assembly line
    Gebus, S.; Leiviskä, K.
  • The impact of measurement scale and correlation structure on classification performance of inductive learning and statistical methods
    Han, I.; Chandler, J.S.; Liang, T.P.
  • Tacit to explicit knowledge conversion: knowledge exchange protocols
    Herschel, R.T.; Nemati, H.; Steiger, D.
  • Effect of computer self‐efficacy on the use of executive support systems
    Hung, S.Y.; Liang, T.P.
  • Physicians' attitudes towards knowledge transfer and sharing
    Naeema, H.J.

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