# Digital Choice Architecture in Medical Education: Applying Behavioral Economics to Online Learning Environments

## TL;DR

This paper explores how behavioral economics can improve online medical education by designing learning environments that account for human decision-making biases.

## Contribution

The paper introduces digital choice architecture as a novel framework for applying behavioral design principles to medical education platforms.

## Key findings

- Current online medical education assumes rational learning, which behavioral science has shown to be inaccurate.
- Applying behavioral economics concepts like defaults and social norms can improve digital learning outcomes for clinicians.
- Digital choice architecture offers a practical framework for aligning medical education with real-world decision-making patterns.

## Abstract

Health care has widely adopted behavioral economics to influence clinical practice, with documented success using defaults and social comparison feedback in electronic health records. However, online medical education, now the dominant modality for continuing professional development, remains designed on assumptions of rational learning that behavioral science has disproven in clinical contexts. This viewpoint examines the paradox of applying sophisticated behavioral insights to clinical work while designing digital learning environments as if learners are immune to cognitive limitations. We propose digital choice architecture for medical education: intentional integration of behavioral design principles into learning management systems and online platforms. Drawing from clinical nudge units and implementation science, we demonstrate how defaults, social norms, and commitment devices can be systematically applied to digital continuing education. As medical education becomes increasingly technology-mediated, behavioral science provides the theoretical foundation and practical tools for designing online learning environments that align with how clinicians actually make decisions.