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# Disease-Specific Data Platforms
Century Health Introduced Its CHARM Abstraction Platform

By Adam Harrie | Written with AI assistance | Published 2026-05-26 | Tech
Source: Trend Hunter, https://www.trendhunter.com/trends/Century-Health
References: [mobihealthnews](https://www.mobihealthnews.com/news/exclusive-century-health-scores-5m-expand-rwe-platform)

![Disease-Specific Data Platforms](https://cdn.trendhunterstatic.com/thumbs/615/Century-Health.jpeg)

[Century Health](https://www.trendhunter.com/trends/century-ii) launched an AI-enabled real-world evidence platform designed to convert fragmented electronic health records into research-ready datasets, following a $5 million oversubscribed seed round led by [Origin Ventures](https://www.trendhunter.com/trends/Retrofitted-utility-intelligence). The company’s Century Health Abstraction & Retrieval Model (CHARM) ingests longitudinal clinical records and integrates claims data, with the company reporting 97% clinical-data abstraction accuracy compared with expert reviewers.

The platform focuses on specialty practices treating chronic conditions outside oncology, an area Century Health described as underrepresented in existing healthcare datasets. The company said CHARM supports disease-specific modeling, comparative-effectiveness analysis and downstream drug-safety research while helping life sciences partners access structured, high-fidelity clinical evidence. Funding will be used to expand the company’s data network, strengthen disease-focused AI capabilities and scale partnerships across the healthcare ecosystem.

For clinicians and biopharma companies, the platform offers deeper longitudinal insight into patient care and treatment outcomes across real-world settings. The effort reflects growing demand for AI-driven infrastructure that standardizes difficult-to-access community-practice data for research, model training and drug development.

Image Credit: Shutterstock/SWKStock

## Trend Insights (Trend Hunter)

- Score: 5.4/10
- Popularity: 35% | Activity: 51% | Freshness: 77%
- Audience gender: 50% men, 50% women
- Primary generations: Millennial, Gen X
- Top markets: North America, Europe

## Categories

[Trend Hunter](https://www.trendhunter.com/trends) > [Tech](https://www.trendhunter.com/tech) > [AI](https://www.trendhunter.com/ai)

## Key Themes

### What's Driving This Trend

- **AI-enabled Real-world Evidence:** Consolidated longitudinal clinical records increasing the fidelity of comparative-effectiveness models and post-market safety research.
- **Disease-specific Data Standardization:** Curated, condition-focused datasets that reduce variability across community practices and improve signal detection for niche therapeutic areas.
- **Community-practice Longitudinal Datasets:** Expanded capture of outpatient and specialty clinic care offering deeper real-world trajectories of chronic-disease management outside academic centers.

### Who This Affects Most

- **Biopharma Research:** High-fidelity, disease-focused evidence streams that refine patient selection, comparative analyses, and downstream safety evaluations for drug development.
- **Clinical Decision Support:** Enhanced longitudinal data inputs that inform richer risk stratification and treatment-outcome prediction within specialty practice workflows.
- **Health Data Infrastructure:** Interoperable abstraction platforms that standardize fragmented EHR and claims sources into research-ready, model-training datasets.

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