Clint provides a patented clinical‑intelligence platform that continuously ingests full‑record EHR data, applies physician‑level clinical logic, and maps each patient’s true health state to automatically identify guideline‑driven care gaps and recommend evidence‑based therapies
Funding
$1.9M 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 providers and life‑science teams struggle to extract actionable insights from fragmented, noisy electronic health record (EHR) data, leading to missed care gaps, low guideline adherence, and slow clinical trial enrollment.
Solution
Clint offers a patented clinical‑intelligence platform that continuously ingests full‑record EHR data, applies encoded physician‑level clinical logic, and maps each patient’s true health state. The system automatically identifies guideline‑driven care gaps, recommends evidence‑based therapies, tests, or trial participation, and delivers these recommendations directly within the clinician’s workflow. For commercial and medical‑affairs teams, Clint aggregates population‑level eligibility and adoption metrics, enabling targeted outreach, program refinement, and real‑time monitoring of prescribing behavior. Researchers use the same engine to pre‑screen trial cohorts, simulate protocol impacts, and balance demographic representation, dramatically reducing screen‑failure rates and recruitment timelines. By surfacing precise, context‑aware recommendations at the point of care, Clint improves therapeutic adoption, health outcomes, and trial efficiency.
Target Audience
Primary users are healthcare system clinicians and care teams, as well as life‑science commercial, medical‑affairs, and clinical‑research groups that need automated, evidence‑based patient management and trial enrollment tools.
Features
- Full EHR ingestion and clinical concept mapping that determines each patient’s conditions, treatment status, and guideline‑based care gaps
- Automated, patient‑specific GDMT and therapy recommendations presented within the EHR, dashboard, email, or other clinician channels
- Real‑time population analytics for commercial and medical‑affairs teams, including care‑gap hot‑spot identification and HCP engagement tracking
- Trial‑matching engine that applies complex inclusion/exclusion criteria to generate pre‑screened patient lists with <10% screen‑failure rates and diversity balancing
- Impact dashboards that capture prescribing behavior, adoption metrics, and outcome data to support quality‑score improvement and ROI reporting
- Continuous updates of clinical guidelines and custom protocols to ensure recommendations reflect the latest evidence