A Systematic Literature Review on Knowledge Management in Healthcare: Best Practices and Future Directions

Knowledge Management Healthcare Systematic Review Best Practices Future Directions

Authors

  • Jackson Muketo Mutua Department of Information Technology and Informatics (ITI), School of Computing and Information Technology (SCIT) & Kaimosi Friends University, Kaimosi, Kenya.
  • Kelvin Kabeti Omieno Department of Computer Science, School of Computing and Information Technology (SCIT) &  Kaimosi Friends University, Kaimosi, Kenya.
  • Nicholas Kipkurui Kiget School of Computing and Informatics, Moi University-Eldoret, Kenya
  • Hilda Jemutai Bitok School of Science, Technology and Engineering, University of the Sunshine Coast, Queensland Australia
October 13, 2024
October 14, 2024

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The role of knowledge management (KM) in improving the standard and effectiveness of healthcare is gaining more attention. However, because of the complexity and the sensitive nature of medical information, the use of knowledge management approaches in this industry faces unique challenges. In order to identify best practices, summarize current research on knowledge management (KM) in healthcare, and suggest future research paths, a comprehensive literature review was conducted. A detailed search was carried out across many important databases, including PubMed, Scopus, IEEE Xplore and Web of Science, in order to gather the relevant studies for the review. The review focused on studies published between 2010 and 2024 that specifically addressed KM practices within healthcare settings and adhered to the PRISMA guidelines for systematic reviews.

The review found 50 papers that satisfied the requirements for inclusion. Significant findings illustrate how important organizational culture, leadership backing, and technology infrastructure are, to the effective use of knowledge management. Some of the most significant techniques in Knowledge Management that are emphasized are creating communities of practice, fusing KM systems with medical guidelines, and employing data analytics for knowledge creation. On the other side, challenges include hesitation to change and interoperability issues