Skip to main navigation Skip to search Skip to main content

Applying Neuroeconomic Principles to Stroke Care: Bridging Evidence to Practice

  • Li Ka Shing Knowledge Institute
  • NeuroEconSolutions
  • University of Toronto Faculty of Medicine
  • University of California San Francisco
  • Harbor Health

Research output: Contribution to journalReview articlepeer-review

Abstract

Over the past 10 years, stroke care has seen remarkable technological and pharmacological breakthroughs—ranging from advanced thrombectomy devices and streamlined thrombolytic therapies like tenecteplase to artificial intelligence-powered imaging and rehabilitation tools. Yet adoptions remain uneven due to fragmented systems, low adherence, and inconsistent implementation. To overcome these barriers, neuroeconomics—a multifaceted integration of neuroscience, behavioral economics, psychology, and clinical medicine—sharpens decision-making under uncertainty and drives sustained behavior change. Behavioral economics offers a toolkit of low-cost, scalable interventions—nudges, default options, framing effects, commitment devices, incentives, gamification, and social-norm feedback—that can be woven into every phase of stroke management. Embedding preselected treatment orders in electronic health records, default-scheduling follow-up appointments, and delivering tailored digital reminders have all boosted adherence to medications, rehabilitation exercises, and preventive measures. Financial rewards and community-based feedback loops have improved both clinicians’ prescribing habits and patient self-management. Early pilot programs demonstrate that even small tweaks in workflow or choice architecture can yield outsized improvements in timely reperfusion, secondary prevention uptake, and long-term outcomes. By embedding evidence-based interventions directly into care decisions, the integration of neuroeconomic principles helps bridge the gap between scientific innovation and its transformative impact on patient outcomes.

Original languageEnglish
Pages (from-to)230-244
Number of pages15
JournalStroke
Volume57
Issue number1
DOIs
Publication statusPublished - Jan 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • artificial intelligence
  • behavioral economics
  • evidence-based medicine
  • secondary prevention
  • stroke
  • thrombectomy
  • thrombolysis

Fingerprint

Dive into the research topics of 'Applying Neuroeconomic Principles to Stroke Care: Bridging Evidence to Practice'. Together they form a unique fingerprint.

Cite this