This podcast is based on clinical scenarios from the official AMC Handbook of Clinical Assessment published by the Australian Medical Council. All cases are used solely for study and discussion. We provide personal learning insights and clinical interpretations to support AMC candidates in developing their clinical reasoning skills. The AMC Handbook is the intellectual property of the Australian Medical Council. To access the official material, please visit the AMC website. This episode outlines a simulated medical scenario involving a 4-year-old boy with a heart murmur, designed to assess a medical candidate's ability to diagnose and manage such a case. The central theme revolves around distinguishing an innocent heart murmur—a common and harmless occurrence in children—from one that might indicate a more serious underlying heart condition. This scenario emphasises the importance of thorough history-taking and physical examination to confidently identify an innocent murmur, thereby avoiding unnecessary extensive investigation like referrals or advanced tests, and reassuring the parents. It details the specific characteristics of an innocent murmur, such as its soft, vibratory nature and variability with respiration, contrasting these with features that would suggest an organic, or pathological, murmur.#AMC #OSCE #ClinicalReasoning #MedicalEducation #IMGs #AustralianMedicalCouncil #HeartMurmur #InnocentHeartMurmur #ChildHeartHealth #PediatricCardiology #KidsHealth #HeartSounds #ParentingTips
No persons identified in this episode.
This episode hasn't been transcribed yet
Help us prioritize this episode for transcription by upvoting it.
Popular episodes get transcribed faster
Other recent transcribed episodes
Transcribed and ready to explore now
#2425 - Ethan Hawke
11 Dec 2025
The Joe Rogan Experience
SpaceX Said to Pursue 2026 IPO
10 Dec 2025
Bloomberg Tech
Don’t Call It a Comeback
10 Dec 2025
Motley Fool Money
Japan Claims AGI, Pentagon Adopts Gemini, and MIT Designs New Medicines
10 Dec 2025
The Daily AI Show
Eric Larsen on the emergence and potential of AI in healthcare
10 Dec 2025
McKinsey on Healthcare
What it will take for AI to scale (energy, compute, talent)
10 Dec 2025
Azeem Azhar's Exponential View