Table 1.

AI-Enhanced Family Medicine and Care

Point: Exemplar problem(s)	AI solution
Increasing trust
Patients trust us less now than ever before	Create and disseminate tools that improve communication and increase trust
Enabling decision making and care
Patients don’t always understand our instructions	Create and disseminate patient education tools in the language and medium that the patient prefers
Patients are overwhelmed with multiple chronic and complex conditions	Create tools to help patients manage diabetes, mental conditions, and interactions.
Patients have difficulty obtaining the services they need, even when they are insured	AI can streamline and facilitate the process of prior authorization and eliminate other barriers to care
Many diseases are preventable yet increasing in prevalence	Harness the power of AI to encourage the behavioral changes necessary to prevent hypertension, diabetes, and obesity
Patient support systems often determine what interventions are recommended	AI can examine the record for contextual considerations and have that information available for the patient encounter
Access
Medicine has excluded entire groups of people	Create and disseminate tools that help us reach the forgotten, the lonely, the marginalized, etc
Telehealth and self-management
Managing chronic diseases like diabetes, hypertension, etc requires significant self-monitoring	Use AI to assist patients with self-management
Innovation management
Point-of-care ultrasound (POCUS) is available, but clinicians and patients have not fully embraced its use	AI can create tools, training, and helpful reading of POCUS to assist us in bedside care
Socio-technical-familial care support ecosystem complexity¹	AI scribes as collaborators to efficiently avert adverse interactions, optimize health-promotion synergies, and integrate these increasingly complex systems into holistic care frameworks

AI = artificial intelligence; POCUS = point-of-care ultrasound.