Get ready for a bold statement: patients are turning to AI for medical advice, and doctors need to catch up!
Imagine this: during a consultation, a patient reveals they've consulted ChatGPT about the doctor's recommended treatment. A few years ago, this might have been met with resistance, but today, it's a reality. Yet, medical students and residents are often forbidden from doing the same.
As a medical professional, I've witnessed the uncomfortable truth: healthcare education is lagging behind. While some institutions, like Dartmouth's Geisel School of Medicine, are integrating AI into clinical training, we need a faster, more widespread adoption.
The problem is clear: with hundreds of daily medical studies, the knowledge gap is widening. Clinicians who don't consult AI tools will struggle to defend their decisions. Our patients, however, are already ahead of the curve, using AI chatbots to ask informed questions.
Here's where it gets controversial: some medical schools and health systems seem stuck in the past. They restrict AI use, even as students and residents are expected to be competent with it. It's time to embrace the future and provide practical guidelines.
First, we need AI verification protocols. Just as we have morbidity and mortality conferences, we should have AI rounds where students present their AI consultations. This should be a documented, standard part of clinical training.
Second, transparency is key. Residents should document AI consultations like any specialist consultation. The Accreditation Council for Graduate Medical Education (ACGME) should mandate this to create an auditable trail and establish career-defining habits.
Third, competency assessments are crucial. Medical licensing boards should test AI literacy, just as they test pharmacology. Students need to understand when to trust and question algorithms.
Finally, patient consent is essential. When AI informs clinical decisions, patients have a right to know. It's not about the technology being experimental, but about building trust and ensuring safety and privacy.
This is especially important in underserved areas, where AI can bridge gaps in specialist shortages. At Dartmouth Health, we're launching an AI curriculum to train clinicians who master the technology.
No algorithm can replace the human touch. The stethoscope and the held hand are irreplaceable. But AI can enhance our effectiveness.
So, medical students and residents, ask about AI training during your interviews. Patients, don't be afraid to mention ChatGPT to your doctor. It's time to embrace the future of medicine, where AI is a consultant, not a replacement.
Let's ensure our medical education prepares doctors for the medicine of tomorrow, not the medicine of yesterday.
