Digital Twins Support JITAI Design Decisions

Harvard and University of Michigan researchers publish a 2026 JMIR paper introducing JITAI-Twins, a digital-twin framework to simulate and optimize design decisions for just-in-time adaptive interventions (JITAIs). The framework fits computational models to prior deployment data, simulates candidate decision-making algorithms, and uses bidirectional feedback from new deployments to update simulations. This approach aims to reduce costly deployments and improve intervention fidelity across successive JITAI iterations.