Urologist Attitudes towards Risk Prediction Tools, Electronic Health Records, and Surgical Clinical Decision Support


Clinical Decision Support (CDS) aims to provide users with timely, well-curated information to optimize decision-making, clinical efficiency, and health outcomes. However, despite the broad availability of computerized risk prediction tools in urology, their use and clinical impact remain limited. In this context, we sought to assess urologist attitudes toward the potential integration of these tools into Electronic Health Records (EHR) systems as surgical CDS. We surveyed practicing urologists through the American Urological Association (AUA) Annual Census from May–September 2019. In our sample of practicing urologists, less than half use validated risk prediction tools regularly or view the EHR favorably. However, most urologists believe that automated integration of these tools into the EHR could improve care, particularly for medical decision-making and risk communication. Future design and implementation will need to focus on prevailing attitudes along with physician experience and workload as potential barriers to acceptability, usability, and effectiveness.

American Medical Informatics Association (AMIA) Annual Symposium Posters