Abstract
BackgroundClinical 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.ObjectiveThis 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.MethodsWe 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.ResultsOur 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.ConclusionsIntegrating 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.
Highlights
BackgroundClinical decision support (CDS) tools within electronic health records (EHRs) have led to some improvements in patient care [1,2,3,4] there are numerous examples of CDS tools leading to low adoption or negative impact on outcomes
Integrating Practical Robust Implementation and Sustainability Model (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
Summary
BackgroundClinical decision support (CDS) tools within electronic health records (EHRs) have led to some improvements in patient care [1,2,3,4] there are numerous examples of CDS tools leading to low adoption or negative impact on outcomes. CDS design best practices may be a way to improve the impact of CDS tools [10,11]. CDS design best practices are intended to provide a narrative representation of the key determinants that influence the success of CDS tools [12,13,14,15,16,17,18]. Textbox 1 provides a high-level summary of the best practices that include a user-centered design process. Clinical decision support (CDS) design best practices are intended to provide a narrative representation of factors that influence the success of CDS tools. They provide incomplete direction on evidence-based implementation principles
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