Artificial Intelligence in the U.S. Military Health System: Forging a New Frontier for Clinical Care and Efficiency

Area of Science:

• Military medicine
• Health informatics
• Artificial intelligence in healthcare

Background:

• The Military Health System (MHS) has a history of medical innovation but struggles to implement new technologies domestically.
• Civilian health systems are leading advancements in artificial intelligence (AI), a transformative force in healthcare.
• The MHS lags behind civilian counterparts in AI adoption, despite its potential benefits.

Purpose of the Study:

• To explore the potential of AI adoption within the MHS.
• To identify challenges and propose strategies for AI implementation in military healthcare.
• To enhance care for service members and beneficiaries through AI integration.

Main Methods:

• The study proposes a strategic approach for AI adoption within the MHS.
• Key strategies include establishing AI governance, educating medical personnel, and conducting research, development, testing, and piloting of AI applications.
• Leveraging lessons learned from civilian healthcare systems is recommended.

Main Results:

• AI adoption can significantly benefit the MHS in areas such as access to care, resource allocation, facility operations, threat detection, and telehealth.
• Implementing AI in the MHS presents unique challenges including privacy, security, system integration, and regulatory obligations.
• A dedicated investment in personnel and resources is necessary for successful AI implementation.

Conclusions:

• The MHS should proactively pursue AI adoption to overcome current healthcare challenges.
• A three-pronged approach—governance, education, and R&D—is essential for advancing AI in the MHS.
• Successful AI implementation can improve healthcare delivery for service members and beneficiaries in both domestic and operational settings.