Thesis offers an AI‑powered care management platform that automatically identifies high‑risk patients, conducts outreach, and handles routine tasks such as scheduling, medication reconciliation, and documentation. The system integrates with existing EHRs and is overseen by licensed nurses and care managers, enabling health systems, physician groups, and health plans to expand clinical capacity while closing care gaps and improving population health outcomes.
Funding
$15M 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
Healthcare organizations often face limited clinical capacity and high operational overhead, leading to unmet care gaps and inefficient patient management. Scaling care management and delivery without adding proportional staff is challenging, especially across diverse service lines and covered populations.
Solution
Thesis offers a platform that augments existing clinical teams with AI‑driven care agents supported by experienced nurses and care managers. The solution identifies patients with care gaps, engages them through automated outreach, and provides clinical support that complements frontline staff. By handling routine coordination, documentation, and follow‑up, the agents reduce paperwork and free clinicians to focus on direct care. The combined automation and human judgment enable health systems, physician groups, and health plans to expand capacity at scale while improving quality metrics and patient outcomes.
Target Audience
Primary customers are physician groups, health systems, and health plan care teams seeking to expand clinical capacity and improve population health management.
Features
- AI care management agents that automatically identify high‑risk patients and initiate outreach to close care gaps
- Care delivery agents that provide clinical support tasks such as appointment scheduling, medication reconciliation, and patient education
- Clinical operations agents that automate documentation, data entry, and workflow coordination to lower administrative burden
- Human‑backed oversight by licensed nurses and care managers ensuring clinical accuracy and appropriate escalation
- Integration capabilities with existing EHR and practice management systems for seamless data flow
- Real‑time analytics dashboard that tracks gap closure rates, capacity utilization, and outcome metrics