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The Clinical Problem Solvers

Episode 370 – Clinical Unknown – Jas & Ibrahim discuss Mukund’s case

Dec 19, 2024
Mukund Raguram, a fourth-year medical student at UCSF and co-host of Space Learning, teams up with Jasdeep Bajwa, an academic hospitalist passionate about clinical reasoning. They dive into a complex case of a 65-year-old male with a severe chronic cough and a TB history. The discussion covers the systematic approach needed for accurate diagnosis, examining potential complications from previous TB, and the impact of endemic diseases. They also tackle the intricacies of testing for tuberculosis, emphasizing the importance of thorough clinical reasoning in patient care.
01:01:58

Podcast summary created with Snipd AI

Quick takeaways

  • The use of AI medical scribes like Freed can significantly reduce clinician documentation time, allowing for enhanced patient care.
  • Engaging in case discussions fosters collaborative learning, helping healthcare professionals improve their clinical reasoning skills and diagnostic abilities.

Deep dives

Introduction of Freed as a Medical Scribe

Freed is introduced as an AI medical scribe designed to alleviate the burden of documentation for clinicians. It listens, transcribes, and generates clinical notes in the clinician's preferred style, applicable in both in-office and virtual visits. The tool is HIPAA compliant and requires minimal training, allowing clinicians to save significant time—up to two hours each day. Freed has gained popularity among over 10,000 healthcare professionals, enabling them to focus more on patient care rather than on tedious charting.

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