You are the only one in the room after midnight, a patient is coding, and everyone is waiting on you to remember the next drug and the next rhythm. Anesthesiologist Michael Peck has run those codes, and he argues cognitive overload during cardiac arrest is not a personal failing but a predictable limit of the brain under stress. So why, after 30 years, do clinicians still run codes from memory with no crutch to lean on?

⏱️ Chapters:
0:00 Introduction
0:37 Forced out of surgery and into anesthesiology
2:53 What cognitive overload in a code really means
3:46 The idea a monitor company turned down in 1991
4:52 Why we still miss the lessons codes could teach us
5:49 Inside a code with nobody coming to help
9:29 The most common reason codes fail
11:00 Why there is still no crutch to lean on
12:32 Health care runs on AI, so why not code care
13:53 What Peck would build if he were in charge
14:42 Take home messages

About this episode:
Anesthesiologist Michael Peck came to the specialty by accident, pushed out of a general surgery residency as a new father, and spent the next three decades convinced that medicine asks the impossible of clinicians during a cardiac arrest. In this episode he walks through what a code actually feels like from the inside: managing chest compressions, reading rhythms, ordering medications on two and five minute intervals, directing a room full of people, and diagnosing the cause of the arrest, all from memory and all at once. He traces the idea he first had in the early 1990s, building the AHA cardiac arrest algorithms directly into the physiologic monitor, and the manufacturer that told him no because the technology was not ready. He explains why hospital reviews of codes still lean on documentation and memory that fail after a high stress event, and why we miss the chance to learn not just from the failures but from the saves. He makes the case that decision support is standard in aviation and nuclear power, and that cardiac arrest management should not be the exception that runs on memory alone. His central argument is not that technology should replace clinical judgment but that judgment matters more in a crisis, and good clinicians deserve systems that help them perform when the stakes are highest.

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#CardiacArrest #PatientSafety #Anesthesiology