OpenScribe View OpenScribe on GitHub

Clinical software.
Built in the open.

What OpenScribe is

OpenScribe is open-source software for AI-assisted clinical documentation and healthcare workflows. It records patient encounters, transcribes audio, and generates structured draft clinical notes for human review.

Why it exists

Clinical documentation should support the conversation between a clinician and a patient. OpenScribe offers a transparent, adaptable alternative to closed documentation tools, with control over models, workflows, and data boundaries.

Open source, by design

The project is released under the MIT license. You can inspect the code, self-host it, adapt it, and contribute improvements. Local-only and mixed local/cloud workflows are documented explicitly.

View OpenScribe on GitHub ↗

Contributors

Sam founded OpenScribe as an open-source clinical software initiative supported by grant funding and developed with contributors from NewYork-Presbyterian and other institutions. Contributions are made by individuals; these affiliations do not imply institutional sponsorship or endorsement.

Contributors help with accessibility, testing, transcription and model integrations, documentation, and failure recovery. Clinical experience is welcome but is not required.

How to contribute ↗

Sam Margolis, founder and lead maintainer of OpenScribe

Sam Margolis

Founder and Lead Maintainer

Sam Margolis is a physician-in-training and computer scientist whose work focuses on biomedical AI, clinical AI evaluation, and open-source healthcare software. He conducts research at Stanford and is an MD candidate at UCLA. His academic publications appear under Samuel J. Margolis.

Research & background

Sam Margolis is a physician-in-training and computer scientist working at the intersection of biomedical artificial intelligence, clinical medicine, and software development. He is a Sarnoff Fellow conducting research at Stanford and an MD candidate at UCLA, with research spanning clinical AI evaluation, cardiovascular AI, deep learning, biomedical sensing, and medical imaging.

He also serves as a Fellow at npj Digital Medicine, where he helps communicate emerging research in digital medicine and medical AI. Previously, Sam co-founded and sold a company and worked on healthcare technology strategy at Gates Ventures and McKinsey & Company. His research has appeared in Science Advances, Nature Communications, Advanced Science, and npj Digital Medicine. His scholarly publications also appear under Samuel Margolis and Samuel J. Margolis.