AI Patient Screening for Clinical Trials
Automated eligibility screening using EHR data and AI to evaluate inclusion/exclusion criteria in seconds, not hours. Connect to hospital systems via FHIR and let our AI handle the chart review.
Eliminate Manual Chart Review
Instant Assessment
AI evaluates all inclusion/exclusion criteria automatically. Results in seconds instead of hours of manual chart review.
Universal Data Integration
Connect to EHRs via FHIR, SQL databases, eSource systems, or any data source. Pull patient demographics, conditions, medications, and lab results automatically.
Voice Agent Follow-up
For criteria that can't be verified from medical records, our AI voice agent calls patients to clarify eligibility and handle consent verification.
Upload Your Study Criteria
Simply upload your study protocol or inclusion/exclusion criteria document. Our AI extracts and structures each criterion automatically.
- Supports both quantitative and qualitative criteria
- Automatic classification of criterion types
- Handles complex medical terminology
- Review and adjust parsed criteria before screening
Study Protocol
AI-Parsed Criteria
Age ≥ 18 years
Diagnosis of Type 2 Diabetes
HbA1c between 7.0% and 10.0%
Current insulin therapy
eGFR < 30 mL/min/1.73m²
Study Protocol
AI-Parsed Criteria
Age ≥ 18 years
Diagnosis of Type 2 Diabetes
HbA1c between 7.0% and 10.0%
Current insulin therapy
eGFR < 30 mL/min/1.73m²
Seamless Data Integration
Connect to EHRs via FHIR, SQL databases, eSource systems, or custom APIs. Patient data flows securely into our screening pipeline.
Your Data Sources
FHIR / API
Patient Bundle
AI Analysis
Screening Results
Your Data Sources
FHIR / API
Patient Bundle
AI Analysis
Screening Results
Intelligent Two-Part Evaluation
Our system combines programmatic checks with AI-powered clinical reasoning for comprehensive eligibility assessment.
Quantitative Evaluation
- Numeric thresholds evaluated programmatically
- Age, lab values, vital signs checked instantly
- Fast, deterministic results
- Generated TypeScript code for reproducibility
Qualitative Evaluation
- Clinical judgments requiring medical context
- AI-powered evaluation with medical reasoning
- Detailed reasoning for each decision
- Prompt caching for cost-efficient batch screening
Screening Results
| Patient | Criteria Met | Status |
|---|---|---|
8/8 | Eligible | |
Age ≥ 18 years Type 2 Diabetes diagnosis HbA1c 7.0-10.0% No insulin therapy | ||
6/8 | Review | |
Age ≥ 18 years Type 2 Diabetes diagnosis HbA1c 7.0-10.0% No insulin therapy | ||
7/8 | Review | |
Age ≥ 18 years Type 2 Diabetes diagnosis HbA1c 7.0-10.0% Willing to consent | ||
4/8 | Ineligible | |
Age ≥ 18 years Type 2 Diabetes diagnosis HbA1c 7.0-10.0% eGFR ≥ 30 | ||
Clear Results Dashboard
See screening results at a glance. Patients are automatically categorized as eligible, needing review, or ineligible.
- Table view of all patients and screening status
- Drill down to see individual criterion results
- Filter and sort by eligibility status
- Export results for further analysis
AI Voice Agent for Follow-up
For criteria that can't be verified from medical records, our AI voice agent handles the conversation. Natural, efficient, and available 24/7.
- Clarifies remaining eligibility questions
- Handles informed consent verification
- Natural conversation with empathetic responses
- Transcripts and recordings for audit trail
AI Voice Agent
Eligibility Verification Call
0 criteria
Verified
0:00
Duration
Active
Status
How It Works
From protocol to eligible patients in four simple steps.
1
Upload Criteria
Upload your study protocol with inclusion/exclusion criteria
2
Connect EHR
System integrates with hospital EHR via FHIR protocol
3
AI Evaluation
Each criterion is evaluated against patient data automatically
4
Voice Verification
AI agent calls patients to verify unresolved criteria
<30s
Average screening time per patient
85%
Criteria auto-evaluated from EHR
90%
Reduction in manual review time
24/7
Voice agent availability