Addressing Information Asymmetry in Healthcare Through AI-Enhanced Patient Education

Abstract

Healthcare administrators have historically accepted patient-level information asymmetry as an unavoidable complication of healthcare delivery, addressing it primarily through policy intervention and improved educational materials. This essay presents an innovative strategy leveraging artificial intelligence (AI) to bridge this communication gap. Beginning with an analysis of asymmetry's impact on healthcare delivery, the discussion examines how emerging AI capabilities could transform patient education and provider communication. The growing adoption of telehealth services demonstrates an increasingly tech-savvy patient population receptive to digital healthcare solutions. This essay also addresses implementation concerns, including technical infrastructure requirements, and provides recommendations for overcoming these challenges. Finally, a cost-benefit analysis examines initial investment requirements and projected organizational savings, offering healthcare administrators a framework for evaluating a technological solution to persistent information asymmetry in healthcare.

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