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Jacob Kantrowitz, MD, PhD

Jacob Kantrowitz, MD, PhD

Co-Founder & CEO

Jake co-founded River Records to build better software for physicians. He's a practicing internist, Assistant Professor at Tufts University School of Medicine, and a published researcher in clinical informatics and natural language processing.

His research on duplicate information in the electronic medical record — published in JAMA Network Open — showed that more than half of all text in a large academic health system's chart was copied from prior notes. That finding became the foundation for Stream's problem-oriented approach to clinical documentation.

When he's not working with River Records or seeing patients, you'll find him coaching his kids on the soccer field, baking bread, or riding his Peloton.

LinkedIn →

Posts by Jacob

55 articles

Summarization is a tool, not a default

Why Stream won't summarize your patient's chart — and what it does instead. The case for structure over compression in clinical AI.

Three New Stream Updates That Reduce Cognitive Load

Tasks from conversation, smarter context, and document upload — all designed to lighten the cognitive load of clinical care.

When Notes Remember: The Evolution of Problem-Based Context in Stream

Stream’s latest update deepens its understanding of continuity — making each problem smarter, faster, and more complete with every visit.

Beyond Speed: The Real Benefits of AI Medical Scribes in 2025

AI medical scribes in 2025 are reducing after-hours charting, minimizing cognitive burden, and improving note structure and clarity.

How to Get Better Notes from Your AI Scribe in 2025

Learn how to get better documentation from your AI medical scribe in 2025 through better prompting, context, and template use. Practical guide for clinicians using AI scribes to streamline charting and improve note quality.

If EHRs Were Libraries, You’d Walk Out Frustrated

If you don't know what you're looking for, you won't find it.

Faster Isn't Enough. Why Ambient AI Needs More Than Speed

Why faster, more comprehensive notes will exacerbate burnout in the long run.

Our Approach to Clinical Documentation: A Philosophical Shift

We built Stream AI differently. Our philosophy: documentation tools should adapt to clinical thinking, not force clinicians into billing-first templates.

Why “Faster” Isn’t Enough: The Real Problem Ambient AI Should Be Solving

Ambient AI should do more than speed up notes—it should organize charts problem-by-problem, preserving context and reducing cognitive load for safer, faster reviews.