Consumer-mediated health information exchanges: the 2012 ACMI debate

Area of Science:

• Health Informatics
• Health Information Exchange
• Consumer Health Informatics

Background:

• The American College of Medical Informatics (ACMI) hosts debates on critical informatics issues.
• A 2012 debate focused on whether Health Information Exchange Organizations (HIEOs) should prioritize consumer-mediated exchange.
• This debate aimed to explore pathways for developing effective, scalable, and sustainable health information infrastructure.

Purpose of the Study:

• To summarize the arguments presented in a 2012 ACMI debate on consumer-mediated health information exchange.
• To highlight the core points of contention regarding the shift towards consumer control of electronic health records.
• To provide a balanced overview of the debate's substance and spirit for broader understanding.

Main Methods:

• The study is based on a debate transcript from the American Medical Informatics Fall Symposium.
• Transcripts were edited for clarity and conciseness.
• Supporting citations were added to enhance the reader's understanding and provide further context.

Main Results:

• Arguments for shifting focus to consumer-mediated exchange highlighted benefits like enhanced privacy, stakeholder cooperation, scalability, and sustainability through health record banks.
• Arguments against the shift emphasized the complexity of the current healthcare environment, potential delays in consumer control development, and challenges in effective consumer information mediation.
• The debate presented polarized viewpoints, reflecting the complex and multifaceted nature of health information exchange strategies.

Conclusions:

• The debate underscored the significant challenges and potential benefits associated with transitioning Health Information Exchange Organizations to a consumer-mediated model.
• Understanding these opposing viewpoints is crucial for navigating the development of future health information infrastructure.
• The discussion serves to inform ongoing efforts to create more effective, scalable, and sustainable health data systems.