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Anupam B. Jena

Professor at Harvard Medical School, physician and economist, uses natural experiments to study human behavior in healthcare.

Top 3 podcasts with Anupam B. Jena

Ranked by the Snipd community
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32 snips
Jul 19, 2025 • 49min

How Random Events Can Impact Your Health & Do You Make Your Job Too Important? : SYSK Choice

Anupam B. Jena, a Harvard medical doctor and economist, discusses how unexpected events, like birthdays or local parades, can surprisingly influence our health outcomes. He shares fascinating insights on the randomness of health decisions. Meanwhile, Simone Stolzoff, a journalist and author, challenges the notion of identity tied solely to work, promoting the idea of a 'good enough job' that prioritizes work-life balance and personal fulfillment. They both advocate for a broader understanding of health and identity in our lives.
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5 snips
Sep 11, 2023 • 1h 12min

Anupam Bapu Jena on Random Acts of Medicine

Anupam Bapu Jena, a physician and economist at Harvard Medical School, dives into intriguing health topics. He questions whether marathons actually harm those not racing due to emergency response delays. Jena also explores the complexities of determining what makes a good doctor, emphasizing the balance of training and real-world challenges. He discusses how a doctor's experience can affect patient outcomes and reflects on the importance of learning from medical failures. This episode highlights essential insights into healthcare policy and medical practice.
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Oct 3, 2023 • 16min

S35 E2: "Random Acts of Medicine: The Hidden Forces That Sway Doctors, Impact Patients, and Shape Our Health" by Anupam B. Jena & Christopher Worsham

Medical professionals Anupam B. Jena and Christopher Worsham discuss the hidden side of medicine, exploring how random events can profoundly impact our health. Topics include the correlation between birth month and flu shot rates, the idea that less medical care can sometimes lead to better outcomes, factors affecting our perception of a good doctor, and the influence of left-digit bias in medical decision-making.

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