Five No Regrets Opportunities to Meet the Moment with Digital Health and AI

Below is an edited excerpt from a recent Manatt Health white paper, . Click to read the full report, including strategies and examples from leading academic medical centers Additional authors include Meagan Moyer, M.S., M.P.H., R.D., Digital Health Operations Consultant, Stanford Health Care; Leah Rosengaus, M.S., Senior Director, Digital Health, Stanford Health Care; and Christopher Sharp, M.D., Chief Medical Information Officer, Stanford Health Care. The paper was informed by the generous input of organizations in the Digital Health and AI Learning Collaborative.

Health systems are at varying stages of digital and artificial intelligence (AI) maturity, each with unique priorities, constraints, and appetites for innovation. In a , the Digital Health and AI Learning Collaborative outlined five “no regrets” opportunities for health systems adopting digital and AI technologies:

1. Establish proactive, forward-looking governance for AI
2. Build a process for addressing impactable pain points
3. Invest in foundational technology, data infrastructure, and workflow standardization
4. Develop an AI workforce strategy
5. Focus on areas where technology can drive efficiency and lower the cost of care

The paper includes real world case studies from leading academic health systems. Click to read the full report.

The Digital Health and AI Learning Collaborative is a peer community of 25 leading academic health systems organized by Manatt Health in partnership with the Association of American Medical Colleges. For more information on how to join, or how your health system can implement AI and digital health technology, contact or .