The average trial patient has health records across 3β5 providers. Hekma aggregates them, reads them with AI, and tells you which patients qualify β in hours, not weeks.
OB-GYN
Oncology notes, ICD-10
Oncologist
Staging, treatment history
Regional Hospital
Surgical records
Imaging Center
CT scan, pathology
Pathology Lab
Biopsy results
AI Verdict: 100% Match β Eligible
Turnaround: hours, not weeks
The Fragmentation Problem
A patient with early-stage ovarian cancer has records at their OB-GYN, oncologist, hospital where they had surgery, imaging center, and pathology lab. None of these systems talk to each other. Your trial coordinator has to request records from all five providers, wait for them in different formats, and review them manually. This is why average time from patient identification to screen failure decision is 3β6 weeks. And this is 2026.
Without Hekma
A coordinator reviews 5 systems manually. Missing one record leads to screen failure β wasted time for patient and sponsor. 3β6 weeks per patient decision.
With Hekma
AI reads all 5 systems in parallel and returns a single eligibility verdict with source citations β in hours, not days.
What You Receive Per Patient
ICD codes and clinical notes β current and historical
Current and historical with reference to your trial's threshold criteria
Chronological order β medications, procedures, interventions
Complete list with flag on any that match your exclusion criteria
Relevant to your indication β not the full report, the clinically relevant extract
Specific criteria status: Met / Not Met / Needs Confirmation
Hekma reads from the systems your patients actually use.
Compliance & Standards
Stop asking coordinators to review 5 systems manually. Let Hekma do it in hours.