BMC Medical Informatics and Decision Making (Nov 2024)

A scoping review, novel taxonomy and catalogue of implementation frameworks for clinical decision support systems

  • Jared M. Wohlgemut,
  • Erhan Pisirir,
  • Rebecca S. Stoner,
  • Zane B. Perkins,
  • William Marsh,
  • Nigel R.M. Tai,
  • Evangelia Kyrimi

DOI
https://doi.org/10.1186/s12911-024-02739-1
Journal volume & issue
Vol. 24, no. 1
pp. 1 – 17

Abstract

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Abstract Background The primary aim of this scoping review was to synthesise key domains and sub-domains described in existing clinical decision support systems (CDSS) implementation frameworks into a novel taxonomy and demonstrate most-studied and least-studied areas. Secondary objectives were to evaluate the frequency and manner of use of each framework, and catalogue frameworks by implementation stage. Methods A scoping review of Pubmed, Scopus, Web of Science, PsychInfo and Embase was conducted on 12/01/2022, limited to English language, including 2000–2021. Each framework was categorised as addressing one or multiple stages of implementation: design and development, evaluation, acceptance and integration, and adoption and maintenance. Key parts of each framework were grouped into domains and sub-domains. Results Of 3550 titles identified, 58 papers were included. The most-studied implementation stage was acceptance and integration, while the least-studied was design and development. The three main framework uses were: for evaluating adoption, for understanding attitudes toward implementation, and for framework validation. The most frequently used framework was the Consolidated Framework for Implementation Research. Conclusions Many frameworks have been published to overcome barriers to CDSS implementation and offer guidance towards successful adoption. However, for co-developers, choosing relevant frameworks may be a challenge. A taxonomy of domains addressed by CDSS implementation frameworks is provided, as well as a description of their use, and a catalogue of frameworks listed by the implementation stages they address. Future work should ensure best practices for CDSS design are adequately described, and existing frameworks are well-validated. An emphasis on collaboration between clinician and non-clinician affected parties may help advance the field.

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