Lessons From One FQHC's Experience With Artificial Intelligence.

Area of Science:

• Health Informatics
• Artificial Intelligence in Healthcare
• Health Systems Management

Background:

• The rapid advancement of artificial intelligence (AI) presents both opportunities and challenges for healthcare systems.
• Safety-net providers, such as Federally Qualified Health Centers (FQHCs), require structured approaches to assess and implement AI applications.
• Moses-Weitzman Health System (MWHS) initiated steps to develop an AI program for intentional and informed AI use.

Purpose of the Study:

• To describe the initial steps taken by MWHS in establishing an AI program.
• To outline a framework for assessing and implementing AI tools within a safety-net health system.
• To provide a model for other FQHCs embarking on AI integration.

Main Methods:

• Established two AI-focused workgroups: a senior leadership group and a cross-departmental group.
• Developed a comprehensive AI policy emphasizing transparency, privacy, security, and regulatory compliance.
• Focused initial AI projects on automating routine tasks and exploring evidence frameworks for AI adoption.

Main Results:

• Effective AI program implementation necessitates tech-savvy leadership and cross-departmental collaboration.
• Differentiating between general automation and generative AI is crucial for cautious implementation.
• Key challenges include agile budgeting, vendor vetting, and establishing safe testing environments.

Conclusions:

• MWHS's AI program demonstrates a proactive yet cautious approach to AI adoption in healthcare.
• Balancing innovation with operational and ethical considerations is paramount.
• The MWHS model offers valuable insights for other safety-net systems developing their AI strategies.