What DeepScribe Announced About the Comprehensive Cancer Centers of Nevada Rollout

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 the DeepScribe Oncology Rollout Matters to Specialty Practice Leaders

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.

Where the DeepScribe Update Comes From

DeepScribe is the original record behind this update. It tells us what the company published. This brief adds the market context and the method we would use to test the development against other evidence.

DeepScribe original source.

How We Would Research the DeepScribe Comprehensive Cancer Centers of Nevada Results

The source gives us the starting point. This is how we would build the next layer of research around it.

  1. We would ask the practice, not the vendor, how much of the note a clinician still edits, since over 90 percent adoption tells you the tool is opened and not how much work it finished.
  2. Then we would ask DeepScribe what 80 percent of encounters leaves out, because the encounters a tool is not used for are usually the complicated ones.
  3. We would confirm how the records system integration was built before assuming the result transfers, as this rollout runs on iKnowMed rather than on the records systems most health systems use.