{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"IFM | Solving practice challenges with AI","description":" In this episode of the Inside Family Medicine podcast, recorded at FMX, AAFP Vice President of Practice Advancement Karen Johnson talks with family physician Nipa Shah, MD, FAAFP, and internal medicine physician Sudeep Bansal, MD, about how artificial intelligence is moving from an emerging technology to a practical tool physicians can use to solve everyday problems in primary care.  Shah and Bansal discuss how their views of AI have evolved as the technology has rapidly advanced. Shah points to agentic AI \u2013 systems capable of performing tasks rather than simply generating information \u2013 as an important turning point. Bansal shares how experimenting with relatively small use cases in his own practice changed his perspective from viewing AI as a novelty to seeing it as a tool that can reduce repetitive work and give physicians more time with patients.  The conversation explores some of AI\u2019s biggest opportunities and challenges in primary care. Shah describes the potential to use large amounts of health data to improve prevention, diagnosis and treatment, while Bansal focuses on eliminating the many small administrative burdens that make primary care feel like \u201cdeath by a thousand cuts.\u201d They also examine a major obstacle: health information remains fragmented across EHRs, health systems and other data sources. AI may help physicians turn the information they do have into actionable summaries at the point of care, but better interoperability remains essential.  The guests then reflect on the AAFP\u2019s first FMX AI Hackathon, where family physicians worked in teams to identify real problems from their practices and rapidly prototype potential solutions. Shah\u2019s team developed an AI-supported tool for onboarding, evaluating and providing feedback to medical assistants, while other participants tackled challenges such as helping patients understand what to do after a hospital discharge. Bansal encourages physicians to start with a problem they understand well, use AI to brainstorm possible solutions and remember that clinicians remain the domain experts who must guide the technology.  The episode closes with practical advice for physicians beginning to use AI. Shah suggests expanding the traditional \u201cbuild versus buy\u201d decision to consider whether to build, buy, borrow or bot a solution. Bansal encourages physicians to experiment with AI on problems that consume their time, while Shah emphasizes transparency about how much AI contributed to a piece of work. Both stress that AI should strengthen rather than undermine the human relationships at the center of family medicine \u2014 and that family physicians need a meaningful role in determining how these technologies are developed and implemented.  References and resources  Artificial Intelligence in Family Medicine  AI in Family Medicine  FMX 2026 AI Hackathon highlights  Getting the right AI tools for your practice: Questions to ask https:\/\/www.aafp.org\/practice-operations\/ai-in-family-medicine\/choosing-the-best-ai-health-care-tools   Libsyn chapter markers  00:00 AI in primary care and meet the guests 01:35 Sudeep Bansal\u2019s path from medicine to health technology 03:39 Nipa Shah on AI as a tool for solving problems 06:59 Why agentic AI is changing primary care 10:09 The biggest opportunities for AI in family medicine 14:28 Data silos, interoperability and actionable information 19:09 Inside the FMX AI Hackathon 23:37 How physicians can turn pain points into AI solutions 25:41 From \u201cbuild versus buy\u201d to build, buy, borrow or bot 27:37 Using AI responsibly while preserving trust and human connection ","author_name":"Inside Family Medicine","author_url":"https:\/\/sites.libsyn.com\/499348","html":"