Abstract
Designing effective Clinical Decision Support (CDS) tools in an Electronic Health Record (EHR) can prove challenging, due to complex real-world scenarios and newly-discovered requirements. Deploying new CDS tools shares much in common with new product development, where principles and practices consistently prove effective. Agile methods can thus prove helpful on CDS projects, including time-boxed sprints and lightweight requirements gathering with User Stories. Modeling CDS behavior promotes unambiguous shared understanding of desired behavior, but risks analysis paralysis: an Agile Modeling approach can foster effective rapid-cycle CDS design and optimization. The agile practice of automated testing for test-driven design and regression testing can be applied to CDS development using open-source tools. Ongoing monitoring of CDS behavior once released to production can identify anomalies and prompt rapid-cycle redesign to further enhance CDS effectiveness. The tutorial participant will learn about these topics in interactive didactic sessions, with time for practicing the techniques taught.
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