Summary
Written by a model from the transcript; not yet reviewed.
This episode explores the diagnosis crisis in modern medicine, highlighting how widespread diagnostic errors are and what makes proper diagnosis so difficult. The guest, New York Times editor Alexandra Sifferlin, and co-host Diana Sejas, a pediatric neurologist who survived a near-fatal misdiagnosed tumor as a medical student, discuss the structural pressures of the healthcare system. Physicians face massive time constraints seeing dozens of patients a day, and the profession often lacks formal feedback loops for doctors to learn whether their initial diagnoses were correct. The discussion also examines what master diagnosticians do differently, such as practicing intellectual humility and deliberately reviewing past cases, while considering the limits and biases of AI in clinical settings.
- Nearly every person will experience at least one diagnostic error in their lifetime. 5:46
- Physicians are often squeezed by high patient volumes and limited time with each individual. 7:10
- Master diagnosticians actively review their past cases to check if their initial assessments were correct. 9:40
- AI tools can help surface rare diseases, but they also carry human biases from their developers. 11:49
Chapters
- 0:00Intro & Sponsor Messages
Hosts introduce the episode and run sponsor announcements before diving into the story.
- 0:54Misdiagnosis and Delayed Scan
Diana’s lump is repeatedly dismissed until a scan finally reveals a tumor.
- 2:13Surgical Complications and Stroke
During surgery, the tumor damages an artery, leading to bleeding and a stroke that causes lasting deficits.
- 3:25Episode Overview: Diagnosis Crisis
The host outlines the episode’s focus on diagnostic error and how doctors handle it.
- 5:01Expert Guest Introduction
The host introduces Alexandra Sifferlin, author of a book on diagnostic error.
- 6:26Systemic Causes of Error
Both patients and physicians blame the healthcare system’s structure and time constraints for misdiagnosis.
- 7:40Master Diagnostician Example
Sifferlin discusses Dr. Gupta Daliwal’s humility and continuous learning as key to accurate diagnosis.
- 10:03Doctor’s Perspective on Diagnosis
Diana Sejas, now a pediatric neurologist, explains the cognitive process and challenges in diagnosing patients.
- 11:19AI’s Role and Limitations
The conversation explores how AI can aid but not replace the human elements of diagnosis and bias concerns.
- 14:13Closing Reflections and Thanks
The hosts wrap up, thank guests, and promote related content and sponsorships.
Highlights
- 0:47
A Medical Student's Tumorstory
While in medical school, Diana Sejas noticed a growing hard lump on her neck that doctors repeatedly dismissed as a lymph node or anxiety until it proved to be a tumor.
- 5:46
Widespread Diagnostic Errordata
According to a National Academies report, nearly every person will experience an incorrect, delayed, or missed diagnosis during their lifetime.
- 7:10
Systemic Time Pressuresinsight
Physicians report struggling with diagnostic accuracy because they are forced to see up to 20 patients a day with only 15 minutes or less per visit.
- 8:01
Embracing Diagnostic Humilityinsight
Master diagnostician Gupta Daliwal views his role with the core belief that he will never be good enough and must always work to improve.
- 9:40
Creating Feedback Loopsstrategy
Because doctors rarely receive follow-up information on whether their diagnoses were accurate, some clinicians proactively review past cases to evaluate their work.
- 11:49
AI Limitations in Medicineinsight
While AI can assist in surfacing rare diseases due to data volume, it risks perpetuating human biases built into its algorithms.
Quotes
“It was hard, fixed in place, meaning I couldn't really move it around very well.”
Unnamed speaker · 1:20 “and was wrapped around an artery.”
Emily Kwong · 2:08 “nearly every person will experience at least one diagnostic error in their lifetime, sometimes with devastating consequences.”
Unnamed speaker · 5:46 “I have at most 15 minutes, maybe less, with each person.”
Unnamed speaker · 7:16 “being a master at diagnosis means recognizing that you will never be good enough, that you should always be working to improve.”
Unnamed speaker · 8:01
Sponsored segments
- iXL 0:00–0:10
- iXL 3:49–3:59
- Edward Jones 4:06–4:21
- Planet Visionaries 4:36–4:59
- iXL 15:03–15:14
- Bombas 15:15–15:46
About this episode
Nearly every person will experience at least one diagnostic error in their lifetime. That means either a delayed diagnosis, a wrong diagnosis – or no diagnosis at all. That’s according to a report https://www.nationalacademies.org/projects/IOM-HCS-13-03 by the National Academies of Sciences, Engineering and Medicine from 2015 on diagnostic error. Today on the show we talk to a physician who was personally affected by the crisis, and New York Times editor and author of the book The Elusive Body: Patients, Doctors and the Diagnosis Crisis https://www.penguinrandomhouse.com/books/697282/the-elusive-body-by-alexandra-sifferlin/. If you liked this episode, check out these other episodes: - How science is taking tripping mainstream http://lnk.to/uT6xx4 - What If You Took The "Trip" Out Of Ketamine? https://lnk.to/GkjpoM - Could Psychedelics Become Tripless? https://lnk.to/a1FdVe - The Reality Of OCD http://lnk.to/rXFhMt Interested in more medical science? Email us your question at [email protected] mailto:[email protected]. Support public media with NPR+ and enjoy perks for over 25 podcasts like this one. This show’s perks include sponsor-free listening. Learn more at plus.npr.org http://plus.npr.org. See pcm.adswizz.com https://pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences. NPR Privacy Policy https://www.npr.org/about-npr/179878450/privacy-policy
Transcript
2,579 words · 5 speakers
Speaker names marked are inferred from speaking time and the show’s known hosts — they are not voice-verified.
Topics
- Short Wave
- The New York Times
- The Elusive Body: Patients, Doctors, and the Diagnosis Crisis
- National Academies of Sciences, Engineering, and Medicine
- UC San Francisco
- UNC School of Medicine
- ChatGPT
Page updated · transcript and summary are machine-generated