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Honored and humbled to accept a new role as Division Chief for Hematology & Oncology at Georgetown starting next month. Excited for all that the future holds for Georgetown University Georgetown Lombardi with the best colleagues one could ask for.

One of the most rewarding parts of medicine is guiding juniors and teaching them along the way. It’s a privilege to pass on what others so generously shared — skills, judgment, and the confidence to grow. It’s the best way to pay it forward.

What if learning about Neurology was as fun as playing your favorite game? In collaboration with master game designer Zach London, we made that a reality! 🤩 Gorgeous neuroanatomy artwork 🎮 Unique co-op gameplay with real medical stakes Learn more: neurdgames.com/circle-of-will…

Today is my first clinic as attending physician at MD Anderson Cancer Center #endcancer #sarcoma

Exciting new feature launching from Glass Health soon

New Feature — Customization 🎉 With Customization, Glass generates AI clinical decision support and documentation that is perfectly tailored to your preferences as a clinician. Available now at glass.health. Here's how it works🧵

At Glass Health, we're building the ultimate AI assistant for clinicians. You can now tailor AI CDS and documentation to your personal preferences, medical specialty (EM, critical care, neuro, etc), and insitution. Try Glass now at glass.health!

The future of medicine is almost certainly caring for patients collaboratively with agentic AI. We're at the very beginning of figuring out exactly what this will look like in healthcare. At Glass Health, we're bullish on a IDE-like interface with deep EHR integration.

Incorporating AI assistants into clinical practice is difficult because of the jagged edge of their clinical intelligence. LLMs may perform brilliantly at some tasks (like generating differentials) and poorly at others (like chart summarization without full EHR access). This

We want Glass Health to operate on the EHR in the way that Cursor/Claude Code operates on a GitHub repo.

In medicine, customization of your AI assistant is incredibly important. Without it, you're likely to spend significant time editing AI-generated documentation drafts before they're usable in your practice/EHR. At Glass Health, we've made it extremely easy to teach our AI your

We haven't fully explored the potential for sub-agents in medicine. Imagine coming on service and sending 10+ LLM agents to independently research each patient on your list. They do chart review and write easily digestible summaries before proposing plans for your review.

I liked this, Customisation and context are so important in EHR, so clinical shift teams can share via handover reports, admission & discharges shared between acute and non acute care etc. So many use cases.

(1/9) Its July and medical trainees are starting their medical school residency or fellowship. Here is my advice for any ICU fellows starting out to avoid making some of the same mistakes that I've made in the past. A 🧵

One of the reasons our AI assistant for clinicians Glass Health is so powerful is its strong and flexible agentic architecture. When you submit a query to Glass, an orchestrator agent analyzes your input. It determines which sub-agents must be called upon to generate a

PGY-1 Internal Medicine opening at Yale!

This study, conducted at Penda Health's clinics in Nairobi, Kenya, found significant reductions in clinical decision errors with LLM-based AI clinical decision support (CDS). But clinicians using the AI CDS spent more time on each patient compared to those in the control group,