Talc

Talc is a tool that extracts structured data from narrative medical notes. It targets the manual chart review work that health systems and research groups do when they need events, metrics and insights buried in free text patient records. The workflow starts with the customer's own rules. A user defines an abstraction rubric, which can be a patient safety metric or a niche custom query, and Talc applies that rubric line by line across thousands of notes. The tool cites the sources for what it extracts and flags ambiguous cases for human review, so a reviewer can concentrate on the uncertain notes instead of reading every chart. The vendor says initial results arrive in minutes and a finished job in hours, which it contrasts with hundreds of hours of staff time for manual chart abstraction. Talc is aimed at clinical quality teams, hospital operations and research centers that need data pulled from patient charts at scale. The site also hosts an engineering blog about tools and strategies for generative AI teams. The company is backed by Y Combinator. Access is by request through a form on the site. The vendor does not publish prices, and there is no self service signup or plan comparison.