Century Health offers an AI‑driven platform that extracts and structures real‑world clinical data directly from electronic health records, creating research‑ready registries without disrupting provider workflows. The solution enables researchers and biopharma to query curated, disease‑specific datasets through a web analytics dashboard, accelerating evidence generation for drug development and regulatory submissions while allowing providers to retain data ownership and earn revenue shares.
Funding
$2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Clinical data needed for research is fragmented across electronic health record systems and remains locked in siloed, unstructured formats, making it time‑consuming and costly to extract real‑world evidence for new treatments.
Solution
Century Health provides an AI‑driven platform that ingests raw clinical data from provider EHRs, applies large‑language‑model and NLP techniques (the CHARM model) to abstract and structure disease‑specific variables, and aggregates the resulting datasets into research‑ready registries. The platform integrates directly with existing EHR workflows, requiring minimal effort from clinical staff, and offers providers visibility into data usage and a revenue share from biopharma research collaborations. Researchers and biopharma partners can query the curated, longitudinal datasets through a user‑friendly analytics interface to generate real‑world evidence quickly, accelerating study design, regulatory submissions, and drug development. All data handling complies with privacy and security standards, and providers retain full ownership and control over their information.
Target Audience
Primary customers are healthcare provider groups seeking to monetize and leverage their clinical data, and academic or industry researchers and biopharma companies that require high‑quality real‑world evidence for drug development and regulatory submissions.
Features
- Direct EHR integration that extracts data without disrupting clinical workflows
- CHARM AI model that converts unstructured notes, imaging reports, and procedure records into structured, disease‑specific variables
- Longitudinal, population‑level views enabling benchmarking, cohort identification, and outcome analysis
- Revenue‑sharing mechanism that compensates provider practices for contributions to research registries
- Zero‑cost implementation with the platform handling all technical setup and maintenance
- Secure, privacy‑preserving architecture that gives providers full visibility and ownership of their data
- Web‑based analytics dashboard for researchers and biopharma to explore curated datasets and generate real‑world evidence