Build a Synthetic Cohort Clinical Trial Recruitment Feasibility Assessor
Evaluate clinical trial protocol inclusion and exclusion criteria against synthetic deidentified longitudinal patient profiles. Estimate cohort enrollment yield and identify criterion bottlenecks across study sites.
What you are building
The core problem, expected build, and operating context for this challenge.
Evaluate clinical trial protocol inclusion and exclusion criteria against synthetic deidentified longitudinal patient profiles. Estimate cohort enrollment yield and identify criterion bottlenecks across study sites.
Clinical Research Coordinator
Ingest trial eligibility parameters and a synthetic multi-site cohort dataset of deidentified patient metrics.
Evaluate age, diagnostic code history, and lab biomarker thresholds against each synthetic record.
Calculate stage-by-stage attrition curves and highlight restrictive exclusion criteria.
Synthesize a recruitment feasibility dossier with cohort yield projections for research review.
Interactive cohort explorer presenting criteria filter controls, waterfall attrition diagrams, and feasibility summaries.
Synthesize tabular cohort records with age, lab values, and synthetic ICD-10 codes, or load public mock FHIR bundles. Starter examples below are synthetic. They are not downloaded records.
HL7 FHIR overview Adopt FHIR Clinical Reasoning and ResearchStudy criteria modeling conventions to structure eligibility evaluation predicates.
langgraph, pandas, pydantic. langgraph coordinates cyclical feasibility evaluation passes across eligibility criteria and aggregates attrition stages. Fast hosted or local model capable of summarizing criterion bottlenecks from structured attrition tables.
Submit runnable source, pinned dependencies, setup commands, a working interface, example outputs, and a recorded end-to-end demo. Include tests and an action log.
Parses multi-criteria inclusion/exclusion rules into executable filtering logic.
Processes at least 1,000 synthetic patient records and computes step-wise attrition metrics.
Generates a structured feasibility report identifying the most restrictive criterion.
Provides human review checkpoints for adjusting protocol thresholds and re-running yield analysis.
```json [ { "input": { "protocol_id": "NCT-SYNTH-101", "target_enrollment": 50, "criteria": { "min_age": 18, "max_age": 65, "required_condition": "E11", "max_serum_creatinine": 1.5 }, "synthetic_cohort": [ { "patient_id": "P01", "age": 45, "conditions": [ "E11" ], "serum_creatinine": 1.1 }, { "patient_id": "P02", "age": 70, "conditions": [ "E11" ], "serum_creatinine": 1.2 }, { "patient_id": "P03", "age": 30, "conditions": [ "I10" ], "serum_creatinine": 0.9 }, { "patient_id": "P04", "age": 55, "conditions": [ "E11" ], "serum_creatinine": 1.8 } ] }, "expected_output": { "protocol_id": "NCT-SYNTH-101", "total_screened": 4, "eligible_count": 1, "eligible_ids": [ "P01" ], "attrition_summary": { "age_excluded": 1, "condition_excluded": 1, "lab_excluded": 1 }, "feasibility_status": "at_risk" } }, { "input": { "protocol_id": "NCT-SYNTH-102", "target_enrollment": 1, "criteria": { "min_age": 20, "max_age": 80, "required_condition": "J45", "max_serum_creatinine": 2 }, "synthetic_cohort": [] }, "expected_output": { "protocol_id": "NCT-SYNTH-102", "total_screened": 0, "eligible_count": 0, "eligible_ids": [], "attrition_summary": { "age_excluded": 0, "condition_excluded": 0, "lab_excluded": 0 }, "feasibility_status": "insufficient_data" } } ] ```
Research feasibility tool only; uses purely synthetic records and makes no clinical enrollment determinations. Use mock external writes. Require human review before any real deployment.
Participation guide
Research feasibility tool only; uses purely synthetic records and makes no clinical enrollment determinations. Use mock external writes and human review.
How work is evaluated
Parses multi-criteria inclusion/exclusion rules into executable filtering logic. Processes at least 1,000 synthetic patient records and computes step-wise attrition metrics. Generates a structured feasibility report identifying the most restrictive criterion. Provides human review checkpoints for adjusting protocol thresholds and re-running yield analysis.
Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.
Challenge datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
Complete workflow
Ingest trial eligibility parameters and a synthetic multi-site cohort dataset of deidentified patient metrics. Evaluate age, diagnostic code history, and lab biomarker thresholds against each synthetic record. Calculate stage-by-stage attrition curves and highlight restrictive exclusion criteria. Synthesize a recruitment feasibility dossier with cohort yield projections for research review.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Parses multi-criteria inclusion/exclusion rules into executable filtering logic. Processes at least 1,000 synthetic patient records and computes step-wise attrition metrics. Generates a structured feasibility report identifying the most restrictive criterion. Provides human review checkpoints for adjusting protocol thresholds and re-running yield analysis.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
Interactive cohort explorer presenting criteria filter controls, waterfall attrition diagrams, and feasibility summaries.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Research feasibility tool only; uses purely synthetic records and makes no clinical enrollment determinations.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Ingest trial eligibility parameters and a synthetic multi-site cohort dataset of deidentified patient metrics.
Evaluate age, diagnostic code history, and lab biomarker thresholds against each synthetic record.
Calculate stage-by-stage attrition curves and highlight restrictive exclusion criteria.
Synthesize a recruitment feasibility dossier with cohort yield projections for research review.
Reference links and supporting material
Synthesize tabular cohort records with age, lab values, and synthetic ICD-10 codes, or load public mock FHIR bundles. Supplied starter examples are synthetic, not source extracts.
Challenge setup
Configuration summary for this challenge.
Challenge input
Input details are not configured.
LangGraph
Runtime for stateful agent workflows.
Evaluated output
No output checks are configured.
- Ingest trial eligibility parameters and a synthetic multi-site cohort dataset of deidentified patient metri...
- Parses multi-criteria inclusion/exclusion rules into executable filtering logic. Processes at least 1,000 s...
- Interactive cohort explorer presenting criteria filter controls, waterfall attrition diagrams, and feasibil...
- 2 public reference cases
- 2 configured tools
Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.
View technical recipe
Configured tools
- LangGraph · Optional
- LangGraph · Optional
Evaluation contract
- Complete workflow · Weight 40
- Correctness and evidence · Weight 30
- Review interface · Weight 20
- Safe execution · Weight 10
Reference cases
- 2 public reference cases
Workflow tasks
No workflow tasks are configured.
Recipe freeze marker
No recipe freeze time is recorded.