A taxonomy of knowledge risks for healthcare organizations

Abstract

Purpose

Knowledge is a critical factor for health-care organizations’ sustainability in today’s hyperconnected and technology reliant environment, which presents additional challenges and responsibilities for managing knowledge and its risks in medical practices. This paper aims at developing a taxonomy of knowledge risks (KR) within a health-care context, with relevant descriptions and discussion of their possible impact on health-care organizations.

Design/methodology/approach

As KRs have not been discussed yet within a health-care context, the authors reviewed relevant literature on KRs and challenges to knowledge practices in general contexts and in other industries. In addition, the authors reviewed literature on knowledge management (KM) in health care. The authors synthesized their findings and combined it with authors’ insights based on their experience in the health-care and KM fields to develop the taxonomy of KR, with contextual explanations and expounded on their potential effects on health-care organizations.

Findings

The authors propose and explain 25 types of KRs in health-care organizations and organized them into three categories: human, operational and technology.

Practical implications

Proper identification of clinical and administrative KRs plays a critical role in their effective management and remediation, thus improving the quality of care, promoting efficiency savings and ensuring health-care organizations’ sustainability. This paper will raise the awareness of KR among health-care professionals and offer researchers solid ground for more rigorous research in the field of KR and their management, within the health-care context in specific.

Originality/value

To the best of the authors’ knowledge, this paper is the first to comprehensively discuss issues of KRs within a health-care context.

Citation

Hammoda, B. and Durst, S. (2022), "A taxonomy of knowledge risks for healthcare organizations", VINE Journal of Information and Knowledge Management Systems, Vol. 52 No. 3, pp. 354-372. https://doi.org/10.1108/VJIKMS-07-2021-0114