Bond Health provides an integrated platform for clinical trial patient recruitment, automating the entire workflow from identification to consent. The system uses LLM-based EHR screening and voice agents to accelerate patient matching and engagement with high accuracy. This unified approach reduces manual chart review and shortens enrollment timelines for research sites and health systems.
Funding
Funding not disclosed
Founders
Product
Problem
Clinical trial sites rely on manual chart review of electronic health records to identify eligible participants, a process that is labor‑intensive, slow, and prone to missing patients with complex or rare conditions. This bottleneck reduces enrollment velocity, inflates screening costs, and limits cohort diversity and characterization.
Solution
Bond Health provides an automated pre‑screening platform that applies proprietary large language models to both structured fields and unstructured clinical notes, imaging reports, genomics, and other EHR content. The system generates a real‑time match score for each patient against trial inclusion/exclusion criteria and supplies a traceable rationale for each recommendation. Recruiters access a unified dashboard that tracks patient status through the screening‑to‑enrollment pipeline and visualizes key recruitment metrics such as enrollment rate, screen‑failure reasons, and cost efficiency. All data processing complies with HIPAA standards, and the platform can be integrated across multiple sites to support multi‑center studies. By surfacing nuanced clinical insights at scale, the solution accelerates patient identification, improves cohort representativeness, and reduces manual effort for coordinators and sponsors.
Target Audience
Primary users are clinical research coordinators at trial sites, as well as sponsors and contract research organizations that manage multi‑site studies and need efficient patient recruitment analytics.
Features
- Proprietary LLM engine that extracts and normalizes data from structured EHR fields, free‑text notes, imaging reports, genomics, and biopsy results
- Real‑time patient match scoring (0‑100) with transparent, source‑linked rationale for inclusion or exclusion decisions
- Centralized recruitment tracker displaying patient status, communication logs, and site‑level progress in a single web interface
- KPI dashboards that monitor enrollment velocity, screen‑failure rates, demographic coverage, and cost per enrolled patient
- HIPAA‑compliant data pipeline with de‑identified record handling, audit trails, and patient opt‑out capability
- Cross‑site harmonization layer that aggregates eligibility logic and data formats to enable multi‑center trial matching
- Data provenance feature that links extracted insights back to original EHR documents for validation and regulatory review