OpenScribe
OpenScribe is an open-source AI scribe that records patient encounters and generates structured clinical notes automatically. You keep full control over data, workflows, and patient privacy with no vendor lock-in.
Not yet testedsource: GitHubhomepageTypeScriptMITcommit dddf1c30fcf8
TypeScript, MIT licensed. The project labels itself: ai, clinical, clinical informatics, ehr, electron, healthcare, healthcare application and healthtech.
OpenScribe has not been verified yet.
Measured by Argusic on a fresh machine every time. Every number links to its evidence.
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
No recorded runs.
Topics (from GitHub)
aiclinicalclinical-informaticsehrelectronhealthcarehealthcare-applicationhealthtechllmlocal-firstmedtechopen-sourceprivacyself-hostedtypescript
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/openscribe)Questions
- Does OpenScribe run?
- OpenScribe has not been fully verified yet. No recorded run has produced a verdict yet.
- How did Argusic test OpenScribe?
- On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
- Where is the evidence for OpenScribe?
- All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.