In this conversation, Iain discusses the launch of MedPod Learn, a platform offering a searchable database of curated medical podcasts. He shares insights on the pricing strategy, including user perceptions about value and affordability, and the decision to offer a free trial to encourage subscriptions.

Takeaways

MedPod Learn offers a searchable database of medical podcasts.

The platform is available on both App Store and Google Play.

User perceptions of pricing can vary significantly.

Some users believe lower prices may lead to undervaluation.

Iain's approach includes a free trial for new users.

The subscription fee is set at £2.99 after the trial.

Market research revealed surprising insights about pricing expectations.

The founder's model aims to attract early adopters.

Engagement strategies are crucial for subscription services.

Understanding user psychology is key to pricing decisions.

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Download MedPod Learn from Google Play Store or Apple Store

In this episode, Peter Brindley interviews Dr. Rob Bevan, past president of the CICM, about the obesity paradox in Intensive Care Units (ICUs).

They discuss the surprising observation that overweight ICU patients often show better survival rates than those underweight, despite obesity's known health risks. Dr. Bevan dives into the history and the limitations of BMI as a metric and various biases that could influence the perceived obesity paradox. He also explains how classification bias, selection bias, confounding, and collider bias might skew these outcomes. The discussion touches on the importance of separating patients who are critically ill and happen to be obese from those who are in ICU primarily because of obesity-related diseases. The conversation is rooted in the upcoming textbook chapter authored by Dr. Bevan and explores obesity's broader health implications globally.

In this episode, Peter and Leon, recording at the College of Intensive Care Medicine's Conference in Tasmania, Australia, discuss advancements in precision medicine with Dr. Pratik Sinha from Washington University in St. Louis.

Dr Pratik trained in both Emergency and Intensive Care Medicine, but only works clinically as an intensivist. He runs a research program that seeks to change the way we identify and classify critically ill patients, by using a combination of novel biological measurements and state of the art data science approaches.

The conversation delves into how critical care medicine currently operates, emphasizing the need to shift from supportive care to more personalized approaches using biological measuring systems, big data, and novel data science techniques. They discuss identifying patient subgroups using machine learning algorithms and protein biomarkers, revealing phenotypes like hyper and hypo-inflammatory responses. The discussion covers the practical challenges of implementing these technologies, the importance of rigorous testing, and the future implications for intensive care. The speakers highlight the necessity of prospective clinical trials and broader accessibility of these advanced diagnostic tools to improve patient outcomes.

00:00 Introduction and Opening Remarks

00:34 Diving into Precision Medicine

01:35 Elevator Pitch for Medical Research

02:10 Understanding Patient Complexity

04:12 Biological Measurements and Data Science

10:37 Challenges in Modern Medicine

17:08 Future of Medical Research and AI

21:20 Concluding Thoughts and Future Prospects