Integrating the Practical Robust Implementation and Sustainability Model with Best Practices in Clinical Decision Support Design: Implementation Science Approach

Katy E. Trinkley, Michael G. Kahn, Tellen D. Bennett, Russell E. Glasgow, Heather Haugen, David P. Kao, Miranda E. Kroehl, Chen Tan Lin, Daniel C. Malone, Daniel D. Matlock

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Background: Clinical decision support (CDS) design best practices are intended to provide a narrative representation of factors that influence the success of CDS tools. However, they provide incomplete direction on evidence-based implementation principles. Objective: This study aims to describe an integrated approach toward applying an existing implementation science (IS) framework with CDS design best practices to improve the effectiveness, sustainability, and reproducibility of CDS implementations. Methods: We selected the Practical Robust Implementation and Sustainability Model (PRISM) IS framework. We identified areas where PRISM and CDS design best practices complemented each other and defined methods to address each. Lessons learned from applying these methods were then used to further refine the integrated approach. Results: Our integrated approach to applying PRISM with CDS design best practices consists of 5 key phases that iteratively interact and inform each other: multilevel stakeholder engagement, designing the CDS, design and usability testing, thoughtful deployment, and performance evaluation and maintenance. The approach is led by a dedicated implementation team that includes clinical informatics and analyst builder expertise. Conclusions: Integrating PRISM with CDS design best practices extends user-centered design and accounts for the multilevel, interacting, and dynamic factors that influence CDS implementation in health care. Integrating PRISM with CDS design best practices synthesizes the many known contextual factors that can influence the success of CDS tools, thereby enhancing the reproducibility and sustainability of CDS implementations. Others can adapt this approach to their situation to maximize and sustain CDS implementation success.

Original languageEnglish (US)
Article numbere19676
JournalJournal of medical Internet research
Volume22
Issue number10
DOIs
StatePublished - Oct 2020
Externally publishedYes

Keywords

  • Clinical decision support
  • Implementation science
  • PRISM

ASJC Scopus subject areas

  • Health Informatics

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