January 3, 2026

In 2024, I laid out a vision for how I thought technology was going to transform the practice of medicine. Let's take a look back at it and see where I was right and where I was off the mark:

Robo-scibes

I envisioned robo-scribes as gradually permeating into the practice of medicine, but they have taken off much faster than I could have imagined! Here in Northern California, every major healthcare system is using an AI scribe, with Kaiser Permanente, Sutter, and John Muir using Abridge, UCSF using Ambience, and Stanford using DAX Copilot from Microsoft/Nuance.

Diagnostic Assistant and Medical Knowledge Reference

I imagined AI would assist specific, well-defined diagnostic tasks like finding lung nodules on chest x-ray or identifying hemorrhage on non-contrast head CT. It has done those things, but what I didn't forsee is its widespread, rapidly growing use in everyday clinical decision-making, for example through easily accessible web-based chat interfaces like that provided by OpenEvidence. All my co-residents and classmates from medical school at other residency programs use OpenEvidence, and our attendings increasingly use it as well. It is quickly supplanting UpToDate as the go-to for medical knowledge, something I could not have predicted two years ago. I used to be suspicious of LLM-generated answers, but I appreciate how OpenEvidence includes links to the peer-reviewed literature within its answers, so I verify their veracity. These links additionally make me aware of the latest research, and facilitate evidence-based practice.

November 20, 2025

This week, I was at the AMIA Annual Symposium in Atlanta. It was fun to meet like-minded informatics enthusiasts and hear about their groundbreaking work. I also had the chance to present our work on an LLM-Powered Clinical Calculator.

March 21, 2025

I had heard stories about Match Day, the day thousands of medical students throughout the country find out where they will be spending the next several years of their life for residency training. It was finally my turn. It was with a mix of excitement and trepidation that I opened that fateful envelope.

I had matched at Kaiser Permanente Santa Clara! I was numb for a few seconds, as a mix of joy and relief set in. This had been my first choice. The location, of course, had been a major draw. Born and raised in the Bay Area, I wanted to be near my family and serve the community I grew up in. Additionally, Kaiser Permanente had a huge trove of medical data and a long tradition of clinical informatics research, an ideal place for someone with my interests. After celebrating with my friends and classmates, I'm now going to get some sleep, as my Emergency Medicine rotation continues tomorrow.