2026/04/30 by Sunita M. Desai, Hengchen Dai, Jonathan Kolstad +3 · 1 voice
Economics, Econometrics and Finance · Environmental Science · Health Professions · #Health Policy Implementation Science #Health Systems, Economic Evaluations, Quality of Life #Health, Environment, Cognitive Aging
paper · doi:10.1056/cat.26.0160
openalex publication_date 2026/04/30 · openalex created_date 2026/05/06 · openalex updated_date 2026/07/17
This article synthesizes findings from the Reengineering Health Decision-Making Environments: Aligning Research, Policy, and Innovation for Societal Benefit symposium. Health decisions by patients and providers are often suboptimal, not because effective knowledge or tools are unavailable, but because the conditions under which decisions are made do not support their best use. The symposium brought together researchers, practitioners, and policy makers to examine how health decision-making environments could be reengineered to improve decisions across the care continuum. Three complementary levers emerged as especially promising: behavioral science principles, learning health systems, and artificial intelligence. Achieving these gains at scale will require sustained investment in embedded testing infrastructure, payment and regulatory models that support delivery innovation, and equity-centered design from the outset.