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Home Perspectives

Physicians Reading on Rounds: NEJM or WSJ

What does your physician read while rounding?

Dr. Arlen Meyers by Dr. Arlen Meyers
February 17, 2024
in Perspectives
0
Physician Reading on Rounds NEJM or WSJ

Phillip Strong

When I was in high school, my history teacher, Irv Soslow, required that every student read the New York Times each day and come prepared to talk about a given article and put it in some historical context.

Every medical student grows up reading the New England Journal of Medicine (NEJM), one of the three most prestigious medical journals in the world. Faculty strives to get their articles published there and scientists cite NEJM articles frequently to add credibility to their own publications.

Recently, healthcare innovation has gone mainstream, and instead of reading about technology innovation first in the NEJM, doctors, patients and scientists read about it in the headlines of the Wall Street Journal (WSJ). One of the cultural conflicts differentiating industry from academia is the notion of protect and patent in the former versus publish or perish in the latter.

This creates issues.

 

  1. Stealth research and development bypasses the peer review process and appears to be driven more by short commercial, marketing, and investor interests than clinical safety and efficacy or comparative effectiveness.

 

  1. Digital health products and services, if they are deemed to be non-medical devices, do not require FDA clearance before they are marketed. As a result, few have been clinically validated. Remote patient monitoring for heart failure, for example, might reduce hospital readmissions, but there are barriers to widespread adoption and penetration, and it is unclear which technologies add value, instead of cost.

 

  1. The conflicting incentives create a technology transfer scramble at major research universities, with the resulting last minute telephone calls to intellectual property attorneys struggling to get the first to file provisional patent delivered before the faculty member is scheduled to deliver her paper at a major medical meeting in 12 hours.

 

  1. Media hype creates unrealistic or misleading expectations in the mind of patients before the inventions have been fully vetted by the physician community.

 

  1. Some argue that the scientific community is so conservative that they interfere with innovation and smother disruptive technologies, like the Theranos clinical lab model. The result are some interesting marketing meetings when the conversation is about direct to patient marketing v marketing to doctors.

 

  1. Conflicts of interest in the medical and scientific community make it hard to see through the self-dealing.

 

  1. The pressure from the investment community to bypass expensive and time-consuming clinical trials results in failed product launches or recalls during aftermarket surveillance. Just ask the folks at Apple Watch.

 

  1. Doctors are confused when it comes to which technologies they should use or recommend to patients or how they should incorporate them into their treatment armamentarium.

 

  1. The lack of scientific or clinical evidence or peer review contributes to more Type 1 and Type 2 technology adoption errors.

 

  1. The value of a given sick care or health care technology differs to different stakeholders and the lack of transparency makes it impossible to gauge whether it meets the goals of reducing per capita costs, improving patient outcomes and the patient and doctor experience.

 

One way to teach faculty and medical students and trainees sick care innovation and entrepreneurship is to have a Wall Street Journal or NY Times Club. Every day there is an article that has something to do with sick care business, technology, people, or policy. Using these articles as the basis of discussion engages readers and places what they are learning in contemporary, and historical context.

When I go to Grand Rounds, I see as many residents and faculty with the Wall Street Journal tucked under their arms or in their now supersized pockets of their white coats (to hold iPads) as those reading the New England Journal. It’s nice to see that the business of medicine is becoming more mainstream, but, as I said, there are issues, and they are usually not discussed at Grand Rounds.

Irv would be proud.

Source: Arlen Meyers MD MBA Substack
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Dr. Arlen Meyers

Dr. Arlen Meyers

Arlen Meyers, MD, MBA is the President and CEO of the Society of Physician Entrepreneurs.

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Videos

In this episode, the host discusses the significance of large language models (LLMs) in healthcare, their applications, and the challenges they face. The conversation highlights the importance of simplicity in model design and the necessity of integrating patient feedback to enhance the effectiveness of LLMs in clinical settings.

Takeaways
LLMs are becoming integral in healthcare.
They can help determine costs and service options.
Hallucination in LLMs can lead to misinformation.
LLMs can produce inconsistent answers based on input.
Simplicity in LLMs is often more effective than complexity.
Patient behavior should guide LLM development.
Integrating patient feedback is crucial for accuracy.
Pre-training models with patient input enhances relevance.
Healthcare providers must understand LLM limitations.
The best LLMs will focus on patient-centered care.

Chapters

00:00 Introduction to LLMs in Healthcare
05:16 The Importance of Simplicity in LLMs
The Future of LLMs in HealthcareDaily Remedy
YouTube Video U1u-IYdpeEk
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AI Regulation and Deployment Is Now a Core Healthcare Issue

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Ambient Artificial Intelligence Clinical Documentation: Workflow Support with Emerging Governance Risk

Ambient Artificial Intelligence Clinical Documentation: Workflow Support with Emerging Governance Risk

by Daily Remedy
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Health systems are increasingly deploying ambient artificial intelligence tools that listen to clinical encounters and automatically generate draft visit notes. These systems are intended to reduce documentation burden and allow clinicians to focus more directly on patient interaction. At the same time, they raise unresolved questions about patient consent, data handling, factual accuracy, and legal responsibility for machine‑generated records. Recent policy discussions and legal actions suggest that adoption is moving faster than formal oversight frameworks. The practical clinical question is...

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