How Clinicians Become AI Produces vs Consumers
How Clinicians Become AI Produces vs Consumers
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In this episode of the Innovations and Clinical Implementation podcast, Dr. Lexi Gonzales and Dr. Sunjya Schweig explore the evolution of the clinician's relationship with artificial intelligence. Building on themes from "Longevity Fest," the discussion focuses on the critical shift from merely consuming AI outputs to becoming a producer of AI tools. Dr. Schweig shares his personal "tech stack," detailing how he uses custom GPTs, AI scribes, and "vibe coding" to reduce clinical friction and improve patient outcomes. The conversation also covers the future of health record equity and the transition away from legacy EMRs toward AI-native platforms.
Key Discussion Points
The Shift to Producer: Moving beyond asking AI platforms questions to building custom tools that amplify clinical reasoning and consistency.
Custom GPTs: How practitioners can build "low-lift" tools by uploading specific files (like sleep data or exercise forms) and setting parameters to generate analysis or patient guides.
Vibe Coding: A new frontier where clinicians interact with coding platforms using natural language to build apps and dashboards without prior coding experience.
AI Scribe Evolution: A comparison of scribe tools (Freed AI, Heidi, Abridge), highlighting the ability to use tools like Heidi as a "second brain" for real-time chart summarization and care coordination.
Knowledge Management: Using tools like NotebookLM to turn PDFs and webinars into interactive knowledge bases, and creating "personal LLMs" from conference recordings.
The "Teenage Years" of Health Tech: The current challenges of integrating AI with legacy EMRs and the push toward "health record equity" where data flows freely between silos.
Actionable Insights for Practitioners
Build Your Own GPT: You don't need to be a coder to create a custom tool. Start by uploading a set of guidelines (e.g., normal ranges for sleep data) and ask the AI to analyze de-identified patient data against those rules.
Optimize Your Scribe: Don't just let the scribe run in the background. actively interact with it during the visit to request summaries of previous interventions or create referral timelines.
Streamline Operations: Upload your clinic’s Standard Operating Procedures (SOPs) into a tool like NotebookLM so new staff can "chat" with the manual rather than searching through static files.
Switch to AI Dictation: If you aren't using a scribe, switch from legacy dictation software to AI-enhanced tools like Whisper, which fix jumbled words and remove the need for heavy editing.
Just Start: Don't let fear of the technology hold you back. Pick a few platforms, test them, and aim to "up-level" your usage by tinkering with customization.
Featured Resources & Tools
Scribes & Documentation: Heidi (recommended for customizability), Freed, Abridge, Nabla, Open Evidence.
Research & Knowledge: NotebookLM (for converting data to media/chat), Consensus.app (research), Granola.ai (conference recording), Whisper (dictation).
EMR & Dashboards: Vibrant Practice, Biocanic, Heads Up Health, Peak Health.
Call to Action
"Get on the wave": Whether it feels like a wave or a tsunami, AI is here to stay. Practitioners are encouraged to move from being passive users to active tinkerers to avoid being left behind.
Check the Landing Page: A glossary of terms and a list of all tools mentioned in this episode are available on the podcast’s landing page.
OvationLab AI Clinical Practice Glossary
OvationLab AI Clinical Practice Glossary
Doctors Code Full Websites in Hours (No Tech Background!) - Vibe Coding Made Easy
Doctors Code Full Websites in Hours (No Tech Background!) - Vibe Coding Made Easy
Clinical Workflow Intelligence Partner - CustomGPT
Clinical Workflow Intelligence Partner - CustomGPT
Sunjya Schweig, MD, is a physician and researcher with nearly three decades of experience in integrative, functional, and longevity medicine. He is the Founder and President of the California Center for Functional Medicine, where he leads data-driven, systems-based programs for chronic illness, metabolic health, and healthspan optimization, including specialized initiatives for first responders. He also founded the Functional Medicine Research and Technology Center to advance research, education, and innovation in preventive and chronic care. Dr. Schweig trained at UC Berkeley, UC Irvine School of Medicine, and UCSF Santa Rosa, where he helped develop integrative medicine curricula and launched the Integrative Medicine Fellowship. His work spans hormone, microbiome, metabolic, cognitive, and environmental health, integrating digital health, wearables, AI tools, and precision protocols.
Dr. Lexi Gonzales, ND, MS, IFMCP, is a clinician, educator, and implementation strategist working at the forefront of functional and longevity medicine. Trained in biochemistry, systems biology, and translational research, she develops practical frameworks that strengthen clinical reasoning and elevate patient care. As Senior Clinical Implementation and AI Specialist at OvationLab, she designs models and educational systems that help practitioners integrate emerging technologies with clarity and consistency. Her clinical background spans primary care within an insurance-based integrative model, multidisciplinary practice at Vida Integrated Health, and private functional medicine practice with a focus on hormonal and metabolic optimization, endometriosis, and fertility. She also served as IFM’s inaugural Medical Education Resident and later as Clinical Content Developer.
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