Assembling Your AI Toolkit in Family Medicine

Artificial intelligence (AI) has swiftly shifted from futuristic hype to everyday reality. Family physicians are uniquely positioned to benefit from this shift because our work requires managing broad medical knowledge as well as time-consuming administrative tasks, all while nurturing the doctor-patient relationship. AI isn't here to sideline us; it's here to support us, like a reliable assistant who handles some of the work, freeing us to focus on the human elements that drew us into this field.¹

This article describes what family physicians should consider when assembling their AI toolkit. I've curated this list through hands-on use in busy clinics and teaching rounds, and I've tested these tools in real-world scenarios, prioritizing those that are free or low-cost, user-friendly, and adaptable. Of course, the AI landscape evolves faster than influenza strains in winter. New tools pop up weekly, and what works today might be outdated tomorrow. This list of AI tools isn't exhaustive, but it's a solid starting point for family physicians looking to dip their toes in the AI waters without drowning in options.

To make this toolkit actionable, I've organized it around five key categories and use cases:

1. Clinical knowledge assistants, which excel at rapid, evidence-based information retrieval — such as pulling up the latest clinical guidelines mid-visit,
2. Decision support tools, which go further, aiding in diagnostic reasoning, differentials, and management plans by synthesizing patient data into structured insights,
3. Documentation support, which can save you time,
4. Administrative support, which can save you frustration,
5. Learning support, which can help you stay current amid information overload.

Case: A 45-year-old patient with type 2 diabetes asks about the newest glucagon-like peptide-1 (GLP-1) agonist options during a routine follow-up visit, and you need to quickly access up-to-date, citable evidence without derailing the visit.