The clinician's guide to practical AI integration.
Master Class Starts
Master Class Starts
September 26, 2026
Stop Using Only 20% of What AI Can Do
Sunjya Schweig, MD
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Most clinicians use AI for one task. What are you missing in the other five?
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Your patients deserve the synthesis speed of AI. Your judgment determines if it's safe.
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AI hallucinations are predictable. A three-part defense reduces the risk to negligible.
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Documentation takes 30+ minutes per patient. AI ambient scribing recovers that time.
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Building custom AI tools takes 15 minutes. Time savings compound across your entire patient load.
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CLASS OVERVIEW
From Consumer to Clinician-Producer in Nine Weeks
This course distills what works in AI-integrated functional medicine practice. You'll learn:
- How to prompt with precision using the AIM (Ask, Inform, Map) framework
- How to integrate ambient scribing into workflows that save 30+ minutes daily
- How to build custom AI systems that encode your clinical expertise, and
- How to maintain patient safety through HIPAA compliance and error vigilance.
The curriculum is built on clinical evidence, case studies from practitioners already using these tools, and iterative testing across multiple platforms.
Your baseline matters less than your willingness to experiment.
Your AI Fluency Is Below Competitive Threshold
Most clinicians who use AI at all use only 20% of what it can do. This isn't laziness; it's a training gap.
Without structured learning, practitioners default to generic prompts, single-platform dependence, and passive tool consumption.
The cost is steep:
- 30+ minutes daily spent on documentation that AI could generate in seconds
- Missed opportunities for cross-checking outputs that reduce hallucination risk, and
- Failure to build custom systems that could encode your clinical knowledge into reusable tools.
Within 12 months, 80 to 90% of functional medicine practitioners will use AI routinely.
Clinicians who don't build fluency now won't lose their jobs to AI; they'll lose ground to someone like them who learned faster.
The window to establish competitive advantage is now.
Did You Know...
Did You Know...
Forty to fifty percent of clinicians use AI, yet most exploit one-fifth of available capability.
Hallucinations are clinically dangerous, yet a three-part defense reduces risk substantially.
On expert clinical exams, doctors plus AI scored 76%. AI alone scored 90%, but doctors overrode it because they don't trust it.
Role-prompting activates specialist-level clinical knowledge without changing what the model knows with a single sentence.
AI ambient scribing recovers 30 to 60 minutes daily; adoption friction lasts two to four weeks before ROI appears.
Within the next 3-10 years, 50 to 80% of routine clinical and administrative tasks will be AI-assisted.
Clinical Applications of AI: A Competency-Based Master Class for Integrative and Functional Medicine Practitioners taught by Sunjya Schweig, MD
Dr. Schweig asks, "Who is using AI?" Who's using an AI scribe? Who's pushing beyond documentation into diagnosis, treatment planning, and tool-building?
This course distills what works and what fails when AI meets functional medicine practice. You'll learn:
- The three mechanisms that make LLMs work (prediction, pattern matching, hallucination)
- The AIM prompting framework that generates professional-grade outputs instead of generic answers
- How to integrate AI ambient scribing into 45- to 90-minute patient visits, and
- How to build custom AI systems that encode your clinical expertise.
You'll also learn the legal and ethical guardrails, including HIPAA compliance, bias recognition, vigilance against errors, and liability frameworks that protect both you and your patients.
This is not motivational content. It's a working system taught by someone using it daily in clinical practice.
COURSE FEATURES
Six Competencies You'll Develop
1
LLM Mechanics Without Mystery
Understand how language models predict text, why they hallucinate, and which failure modes are predictable so you can work around them without fear.
2
Precision Prompting Using AIM
Write structured prompts that generate professional-grade clinical outputs instead of generic answers by establishing role, context, and format in seconds.
3
AI Ambient Scribing Workflow Integration
Recover 30 to 60 minutes daily by verbalizing clinical reasoning aloud during patient visits while AI transcribes, structures, and generates notes in real time.
4
Cross-Platform Verification Protocol
Run identical queries across three LLM platforms simultaneously, scan for disagreement, and use conflict as a signal to dig deeper into clinical facts.
5
Custom AI Tool Building Without Coding
Encode your clinical protocols, reference ranges, and decision logic into reusable systems that generate consistent outputs across your entire patient volume.
6
HIPAA Compliance and Patient Safety
Apply the three-question HIPAA test, perform de-identification in minutes, and maintain error vigilance through documented oversight that protects liability and outcomes.
MEET YOUR INSTRUCTOR
Sunjya K. Schweig, MD, is an expert in complex chronic illnesses which require rigorous investigation and management. He has been studying, teaching, and practicing integrative and functional medicine for over 25 years.
As Founder and President of the California Center for Functional Medicine (CCFM), Dr. Schweig believes that an individualized precision medicine approach is fundamental for managing patients with chronic illness. CCFM is at the forefront of the functional medicine movement, offering patients a deep investigative approach to healthcare that is personalized, collaborative, and data-driven.
Dr. Schweig received his BA from the University of California, Berkeley. He received a full scholarship to attend medical school at the University of California, Irvine, where he helped design and lead the complementary and alternative medicine (CAM) curriculum. During medical school, he served on the Board of the Susan Samueli Center for Complementary and Alternative medicine and was chosen as one of twenty medical students to attend the NIH Leadership Training Program in Complementary and Alternative Medicine.
Dr. Schweig completed his family medicine residency at the University of California, San Francisco (UCSF), Family Practice Residency Program in Santa Rosa, CA. During his residency he was instrumental in founding the Integrative Medicine Fellowship program.
Dr. Schweig continues to be active in medical education and has served as volunteer clinical faculty at the UCSF Santa Rosa Residency. He currently holds an adjunct faculty position at Touro University College of Osteopathic Medicine, and has lectured nationally and internationally at conferences, hospitals, and universities. Dr. Schweig also serves on the Scientific Advisory Board for the Bay Area Lyme Foundation.
Sunjya K. Schweig, MD, is an expert in complex chronic illnesses which require rigorous investigation and management. He has been studying, teaching, and practicing integrative and functional medicine for over 25 years.
As Founder and President of the California Center for Functional Medicine (CCFM), Dr. Schweig believes that an individualized precision medicine approach is fundamental for managing patients with chronic illness. CCFM is at the forefront of the functional medicine movement, offering patients a deep investigative approach to healthcare that is personalized, collaborative, and data-driven.
Dr. Schweig received his BA from the University of California, Berkeley. He received a full scholarship to attend medical school at the University of California, Irvine, where he helped design and lead the complementary and alternative medicine (CAM) curriculum. During medical school, he served on the Board of the Susan Samueli Center for Complementary and Alternative medicine and was chosen as one of twenty medical students to attend the NIH Leadership Training Program in Complementary and Alternative Medicine.
Dr. Schweig completed his family medicine residency at the University of California, San Francisco (UCSF), Family Practice Residency Program in Santa Rosa, CA. During his residency he was instrumental in founding the Integrative Medicine Fellowship program.
Dr. Schweig continues to be active in medical education and has served as volunteer clinical faculty at the UCSF Santa Rosa Residency. He currently holds an adjunct faculty position at Touro University College of Osteopathic Medicine, and has lectured nationally and internationally at conferences, hospitals, and universities. Dr. Schweig also serves on the Scientific Advisory Board for the Bay Area Lyme Foundation.
As Founder and President of the California Center for Functional Medicine (CCFM), Dr. Schweig believes that an individualized precision medicine approach is fundamental for managing patients with chronic illness. CCFM is at the forefront of the functional medicine movement, offering patients a deep investigative approach to healthcare that is personalized, collaborative, and data-driven.
Dr. Schweig received his BA from the University of California, Berkeley. He received a full scholarship to attend medical school at the University of California, Irvine, where he helped design and lead the complementary and alternative medicine (CAM) curriculum. During medical school, he served on the Board of the Susan Samueli Center for Complementary and Alternative medicine and was chosen as one of twenty medical students to attend the NIH Leadership Training Program in Complementary and Alternative Medicine.
Dr. Schweig completed his family medicine residency at the University of California, San Francisco (UCSF), Family Practice Residency Program in Santa Rosa, CA. During his residency he was instrumental in founding the Integrative Medicine Fellowship program.
Dr. Schweig continues to be active in medical education and has served as volunteer clinical faculty at the UCSF Santa Rosa Residency. He currently holds an adjunct faculty position at Touro University College of Osteopathic Medicine, and has lectured nationally and internationally at conferences, hospitals, and universities. Dr. Schweig also serves on the Scientific Advisory Board for the Bay Area Lyme Foundation.
COURSE CONTENT
Course Session Information
Course Session Information
SESSION 1
AI as a Predictive Engine: How It Works
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Understand the statistical foundations of large language models and why hallucinations are not bugs but features of probabilistic systems.
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Recognize the difference between consumer- and clinical-grade platforms, and which data safety requirements apply to each.
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Apply the three-part defense to reduce hallucination risk on high-stakes clinical queries.
SESSION 2
Precision Prompting: The AIM Framework
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Write structured prompts using the Ask, Inform, and Map methodology that generate clinically specific outputs rather than surface-level responses.
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Deploy role-prompting to activate specialist-level clinical knowledge and use guardrails to instruct AI what not to do and when to flag uncertainty.
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Refine outputs through iterative follow-up queries and treat first-draft AI responses as resident-level work requiring clinical expertise and oversight.
SESSION 3
Ambient Scribing: Integration into Clinical Workflow
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Configure AI ambient listening technology to generate structured clinical notes during patient visits, eliminating post-visit documentation burden.
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Vocalize clinical reasoning out loud during encounters so patients hear your thinking twice -- once during the visit and again in the generated note.
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Use live transcript manipulation to generate referral letters, specialist searches, and prior authorization drafts while the patient interaction continues uninterrupted.
SESSION 4
Platform Selection: Building Your Stack
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Evaluate AI platforms using a five-category decision framework to find the right tools instead of chasing novelty.
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Select six to eight tools and commit for 30 days without addition, building durable habits and reducing the cognitive overhead of platform proliferation.
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Audit subscriptions monthly and cancel inactive tools immediately to prevent financial waste from auto-renewing platforms you've abandoned.
SESSION 5
Treatment Planning: From Data to Differential
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Synthesize lab data, sleep metrics, and symptom patterns using AI while maintaining clinical judgment.
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Recognize how AI can both elevate junior clinicians but also pull down expert clinicians who defer to AI over their clinical experience.
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Use hyper-personalization to generate customized plans instead of generic protocols for patients.
SESSION 6
Building Custom Tools: From Consumer to Producer
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Create custom AI projects that encode your protocols, reference ranges, and clinical voice without writing code or hiring developers.
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Create a knowledge base to constrain AI outputs to your curated evidence base, creating consistency and high standards.
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Implement iterative refinement by testing tools on cases, reviewing outputs for clinical accuracy, and updating system prompts.
SESSION 7
AI Agents and Autonomous Workflows
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Deploy AI agents to handle multi-step tasks while you maintain patient continuity.
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Run agent queries in the background during patient visits, freeing your attention for the relational and observational work.
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Use agentic workflows to automate administrative overhead that consumes clinician time and energy.
SESSION 8
Ethics, Privacy, and HIPAA: Non-Negotiable Guardrails
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Apply the three-question HIPAA test to any tool before use and execute de-identification workflows.
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Recognize algorithmic bias in training data and adjust clinical interpretation accordingly.
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Document your reasoning when you override AI output and when you choose to trust it, establishing a liability defense and accountability.
SESSION 9
Implementation Strategy: From Theory to Daily Practice
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Execute this three-move action plan within 30 days to build momentum.
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Develop a 15-minute weekly experimentation habit, testing tweaks and new tools in low-stakes environments to build fluency without pressure.
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Recognize that the clinicians advancing fastest are experimenters; waiting for perfection is the most reliable path to competitive disadvantage.
SESSION 10
Conclusion
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How to safely integrate AI to save time and improve outcomes
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Using AI scribes for better patient support and efficient workflows
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Gaining a competitive edge and improving clinical outcomes by safely and knowledgeably integrating AI
What's Included in the Course
What's Included in the Course
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Nine recorded modules with live case demonstrations and workflow walkthroughs from a practicing functional medicine physician using these tools daily.
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Downloadable templates, prompts, system instructions, and de-identification checklists you can deploy immediately.
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A curated resource library (platform recommendations, HIPAA compliance checklists, patient disclosure scripts, custom GPT blueprints, and referral letter generators).
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A cross-platform verification protocol and three-part hallucination defense checklist.
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A five-category platform decision framework and vetted tool shortlist.
Online course available beginning:
September 26, 2026
Transform Your Practice...
Enroll Today!
Transform Your Practice...
Enroll Today!
Enroll Today!
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Monthly Master Classes taught by leading functional medicine experts
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Members-only Q&A platform
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Practitioner community
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Patient referral network
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SINGLE CLASS
SINGLE CLASS
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3 Months Access
This Course ($395 Value) Includes:
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Reclaim 30 to 60 minutes daily by automating documentation and research tasks, recovering time for patient care, and reducing clinician burnout.
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Generate professional-grade clinical outputs instead of generic answers by mastering precision prompting.
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Reduce AI hallucination risk and legal liability by implementing cross-platform verification and error vigilance workflows.
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Build custom AI systems that encode your clinical expertise, creating reusable tools that generate consistent outputs.
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Ensure patient privacy and regulatory compliance by learning HIPAA frameworks, de-identification workflows, and bias recognition.
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