Hekma's AI matching engine runs your trial's I/E criteria against our connected patient network and returns a tiered population report โ so your enrollment forecast is based on real data, not historical averages.
Est. time to first patient: 18 days
Based on real matching data, not historical averages
Match Tiers
| Match Tier | What the AI Confirmed | Next Step |
|---|---|---|
| ๐ข100% Match | Patient fully satisfies all inclusion criteria and has no disqualifying exclusion factors. Records confirm every criterion. | Direct to pre-screening queue |
| ๐ก80% Match | Patient meets all primary criteria. One or two secondary data points to confirm. High enrollment conversion rate. | Schedule pre-screening call |
| ๐ 50% Match | Patient meets core diagnosis and demographic criteria but has borderline factors โ lab values, prior treatment timeline. | Coordinator review recommended |
What Makes This Different From Basic Matching
Most patient matching platforms match on diagnosis codes (ICD-10). That finds everyone who has been diagnosed โ not the subset that meets your complex I/E criteria. Hekma AI reads the full structured and unstructured clinical record, parsing lab values, imaging reports, prior treatment history, concomitant medications, and procedure records.
Example โ CNS Alzheimer's Trial
Criteria: age 55โ75, MCI or early AD diagnosis confirmed by amyloid PET or CSF biomarker, MMSE score 20โ26, no current use of acetylcholinesterase inhibitors, no MRI evidence of significant white matter disease. Most tools return everyone with an Alzheimer's diagnosis. Hekma returns only patients whose records confirm all five criteria.
Compliance & Standards
Run your trial criteria against our network. Get a real patient population count before you commit to a timeline.