Company and Stock Identity
How DeepScribe Connects to the Public Market
- Company structure
- Private company
- Market access
- No direct public shares are available.
- Category
- Ambient Clinical Documentation
- Research focus
- Compare specialty depth, clinician correction time, structured data capture, coding effects, and the boundary between a draft note and a clinical recommendation.
DeepScribe is privately held.
Open the public company market data feed for the full directory, ownership relationships, stock identifiers, and dated snapshots.
First-Hand Company News
Latest Developments
Comprehensive Cancer Centers of Nevada puts DeepScribe's ambient AI into care at 13 locations
DeepScribe said on 13 October 2026 that Comprehensive Cancer Centers of Nevada had made its ambient AI part of care across 13 treatment locations in Southern Nevada, covering 59 oncology clinicians. The announcement reports over 90 percent clinician adoption, says 80 percent of all patient encounters are documented using the platform, and says 8 in 10 clinicians were using its SmartPrep pre-visit feature by the second month. It says the rollout runs on the practice's iKnowMed records system, and describes the practice as participating in more than 150 clinical trials a year and having contributed to the development of more than 100 therapies approved by the FDA. Rupesh Parikh, the practice president, is quoted saying DeepScribe has given its physicians room back. Matthew Ko, DeepScribe's chief executive and founder, is quoted saying the speed of adoption signals the company is helping solve the right problems. The announcement gives no time-saved figure.
Why it matters: This is the first brief this site holds for DeepScribe, and the useful thing about it is what it measures. Ambient documentation tools are usually sold on minutes saved, a number that is hard to verify and easy to inflate. Adoption and share of encounters documented are harder to fake, because a clinician who dislikes the tool simply stops opening it. Treat the setting as the main caveat: oncology visits in a single practice follow familiar patterns, with the same clinicians and the same record system, which is a much easier environment than a general hospital with rotating staff. Note also that the location and clinician counts come from the vendor, and the practice's own pages describe 12 treatment centres and over 600 medical professionals, so the two organisations are counting different things.
Careers and Qualifications
What to Know Before Applying
Work areas: Engineering, machine learning, clinical product, implementation, sales, and customer success.
Qualification signal: Clinical documentation and EHR experience can be as important as model experience. Show work that improved note quality or reduced burden in a real care setting.
Check current roles at DeepScribe. A careers page is the source of record for openings. This profile does not claim a role is open unless the company lists it now.
Related Healthcare AI Roles
Training to Compare
- Health information and data credentials ... American Health Information Management Association, exam: 142 questions, 3.5 hours
- 10x10 informatics courses ... American Medical Informatics Association, six units, 4 to 8 hours a week
- AI Fundamentals in Healthcare Certificate ... Western Governors University, about 3 months, 2 courses
Buyer Snapshot
- Best-fit buyer
- CMIO, clinical informatics, physician experience, compliance, privacy, and ambulatory leadership
- Primary use case
- Draft clinical notes from patient encounters for clinician review and signature
- Typical deployment
- Usually a cloud service connected to the EHR through native integration, a mobile application, or a browser workflow
Evidence questions
- Was performance measured in the specialties and encounter types we plan to deploy?
- How much correction time remains after the draft is generated?
- Are time savings, burnout, note quality, and coding effects reported separately?
Regulatory and workflow questions
- Which functions only document and which functions influence coding or clinical decisions?
- How is patient notice or consent handled in each care setting?
- What is the required clinician review and sign-off workflow?
Data and contract questions
- Is there a Business Associate Agreement covering every downstream service?
- How long are audio and transcripts retained, and can retention be disabled?
- Are encounter data used to train or improve any model beyond the contracted service?
Evidence and Regulation
FDA Clearances on Record
No clearance is linked in this directory. That is not automatically a mark against the company. Some products support the people doing the work instead of reading a patient image or signal themselves.
What the Published Research Says About This Work
Independent studies on the work itself help separate category evidence from one company's claims.
- Ambient AI Documentation ... 24 studies