Session (CTI)

ISPOR and the Society for Medical Decision Making (SMDM) jointly present a scientific methods session examining how early adopters are applying custom Claude Skills to health economic and decision modeling. Bringing together leaders in decision modeling, the session features Beth Devine, Beate Jahn, Jagpreet Chhatwal, Ian Cromwell, and Laura Pizzi. The session will focus on two custom Claude Skills developed to support decision modeling workflows. The Conceptualization Skill synthesizes published evidence, clinical practice guidelines, disease pathways, and stakeholder perspectives to identify decision-relevant health states, causal relationships, structural assumptions, alternative model structures, and evidence gaps. The skill produces a documented conceptual model with evidence traceability, providing a transparent foundation for expert review and model development. The Transportability Skill evaluates whether an existing model can be adapted to a new healthcare setting or patient population. The skill systematically compares epidemiology, treatment pathways, clinical practice, healthcare resource utilization, costs, utilities, and other contextual factors between source and target settings. It identifies model components requiring modification, distinguishes transferable from setting-specific parameters, documents supporting evidence, and generates a structured transportability assessment. Drawing on their experiences as early adopters, panelists will discuss practical lessons learned from integrating Claude Skills into modeling workflows, including the impact on efficiency, transparency, documentation, reproducibility, and validation. The discussion will also examine where Claude Skills add the greatest value, where expert judgment remains essential, and priorities for future methods research. Attendees will gain practical insight into how custom Claude Skills can support model conceptualization and transportability, along with an evidence-informed perspective on their appropriate role in advancing health economic and decision modeling.