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Webinar Recording Now Available: Learn How to Leverage LLMs in Primary Care

Artificial intelligence is rapidly moving from theory into everyday clinical practice — and on February 24, primary care clinicians gathered for a practical, no-hype conversation about what that really looks like in action.

Navigating Clinical AI – A Practical Approach to Using Large Language Models (LLMs) in Primary Care

During this live session, family physicians and Clinical Advisors for Amplify Care, Dr. Rajesh Girdhari and Dr. Neil Naik, walked attendees through real-world demonstrations of large language models (LLMs), including ChatGPT and clinical decision support tools like OpenEvidence, showing how these tools can be thoughtfully and safely integrated into primary care workflows.

Rather than focusing on buzzwords, the session centered on practical application. Through live demonstrations, attendees saw how AI tools can support:

  • Clinical decision-making
  • Documentation efficiency
  • Patient communication
  • Evidence synthesis
  • Workflow optimization

1. AI is a support tool — not a replacement for clinical judgment.
Speakers emphasized the importance of maintaining physician oversight, validating outputs, and understanding limitations.

2. Clear use cases reduce risk.
The most effective applications were focused and intentional — drafting patient education materials, organizing differential diagnoses, summarizing guidelines, and streamlining documentation.

3. Safeguards matter.
The session highlighted practical guardrails, including privacy considerations, verification strategies, and institutional policies that support safe adoption.

4. Workflow integration is achievable today.
Attendees saw step-by-step examples of how LLMs can be incorporated into day-to-day clinical practice without disrupting patient care.

If you couldn’t join us live — or would like to revisit the demonstrations — you can access the full recording below.

As part of our AI Amplified News Pulse, we remain committed to delivering timely, clinically grounded insights as AI continues to evolve. Our goal is simple: provide practical guidance that helps primary care clinicians make informed, safe decisions about adopting new technologies.

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