Abstract for: Improving and Guiding Adoption of Clinical Decision Support Tools

As Clinical Decision Support (CDS) tools grow in application and complexity in the medical field, particularly with the increased use of artificial intelligence, many tools test well in development but are not as effective when put into practice. In addition, there is increasing pressure from medical practitioners, administrators, and outside stakeholders to create regulations and guidelines for implementing these tools to protect patient safety and improve the quality of care. For example, the Duke University Healthcare System has implemented an oversight committee to guide the process of clinical decision support tool creation, implementation, and regulation (Bedoya et al. 2022). Our work focuses on identifying the factors that lead to successful and unsuccessful implementation of CDS tools using a Participatory System Dynamics Modeling approach.