Are you ready for the 🏄 tsunami?

👋Hey, it's Ky. I'm so glad to have you in the MedEdge community.

As always, this week’s Newsletter is in SOAP note format:

• Subjective: An expert opinion or exciting idea

• Objective: A fact, insight, or pro-tip

• Assessment: Call for ideas + highlights from last week's responses

• Plan: Upcoming dates and events

Subjective: Are you ready for the AGI 🏄‍♂️ Tsunami?

A newly published AMEE Guide on Artificial General Intelligence (AGI) by Masters et al. urges us to start preparing for the potential impact of AGI on our profession.

Understanding the distinction between Generative AI (like ChatGPT) and Artificial General Intelligence—which doesn’t yet exist—is key. Forbes highlights three critical differences:

The gap between AGI and GenAI is staggering, especially when you consider how much ChatGPT has already changed our lives. AGI will likely reshape every facet of our existence—including healthcare.

Masters et al. emphasize that AGI’s arrival will profoundly affect the health professions:

It’s not all doom and gloom, though. Masters et al. outline steps that health profession educators and institutions can take to prepare—not just to survive AGI, but to harness its power for good. Here’s some good news: you’ve already ✅ completed step 1 by reading this email.

So, when will AGI arrive? No one knows for sure, but estimates range from as early as 2028 to 2047. Shane Legg, Google’s chief AGI scientist, gives it a 50% chance by 2028. Sam Altman, CEO of OpenAI, estimates 4-5 years from now. Regardless of the exact timeline, one thing is clear: AGI is coming—it’s just a matter of when.

Objective: Big Data + MedEd = PME

You’ve probably heard about precision medicine (PM), the approach that personalizes treatment using advanced technology based on genetics, environment, and lifestyle. PM has long been a dream, but Big Data is making it a reality.

Now, imagine applying that same personalized approach to training new physicians. That’s Precision Medical Education (PME), or precision education (PE), which aims to tailor learning experiences to the needs of each individual.

Like PM, PME relies heavily on data—lots of it. Recognizing this, a group of PME thought-leaders liken our journey to PME to Major League Baseball’s (MLB) analytics revolution. They remind us that today’s 25 million data points 🤯 per game didn’t appear overnight; MLB's data sophistication took years to develop.

They outline three “epochs” leading to modern-day Moneyball:

• 🔍 Observation Epoch: Scouts' subjective judgments and basic stats led to biases and inconsistencies.

• 📊 Analytics Epoch: Advanced statistical analysis improved player assessments and better predicted team success.

• 🤖 Technology Epoch: Since the mid-2000s, tools like Statcast provide precise, data-rich assessments, accounting for factors like weather and ballpark dimensions.

Which epoch is MedEd in?

The authors suggest we’re transitioning between the Observation Epoch and the Analytics Epoch. While observation is still key in medical education, we're starting to incorporate data from learning management systems (LMS) and electronic health records (EHR) to better assess and support trainees.

So what do we do with all that data?

Triola and Burk-Rafel propose a “P4 Framework” for PME:

Assessment: How do you know when you’ve found “the one”?

While it might seem never-ending, medical school offers limited time to decide on a specialty. So, how do you know when you’ve found the right one?

Respond to this email with your thoughts! I’ll share top responses next week

Plan: Upcoming Dates & Events

• Aug 24th - 28th: AMEE Annual Conference

• Sept 3rd - 30th: Academic Medicine Call for Cover Art

• Sept 16th: NRMP Registration Opens

• Sept 20th: Due Date for ACGME Catalyst Awards for Transformation in Graduate Medical Education

• Sept 24th - 28th: AAFP Family Medicine Experience

Want to share an upcoming event? Respond to this email directly with the date, title, and URL for more information.

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