Clinical Trial Matching Agent

Matches patients to relevant clinical trials based on profiles and docs.

Timeline:

3-5 weeks

Industry:

Healthcare

About the Agent

The Clinical Trial Matching Agent transforms trial enrollment by combining advanced natural language processing, medical ontology understanding, and automated reasoning. Instead of manually analyzing multiple trial criteria documents and cross-checking patient histories, the agent performs this entire process instantly. It interprets inclusion and exclusion criteria, evaluates patient conditions and prior treatments, and determines eligibility with medical-level precision.

Hospitals, CROs, biotech companies, and research institutions use this agent to accelerate trial recruitment, reduce administrative overhead, and ensure patients are considered for every appropriate clinical opportunity. This modern AI-driven approach ensures faster, fairer, and more accurate matching—bringing life-saving trials closer to patients in need.

Problem Statement

Patients, clinicians, and research organizations struggle to identify suitable clinical trials due to fragmented information, complex eligibility criteria, and the manual effort required to review medical histories.

This leads to:

Low clinical trial enrollment rates
Delays in research progress
Missed opportunities for patient care
High operational cost for trial coordinators

The process of matching patients to trials is time-consuming, error-prone, and often limited by human bandwidth.

Overview

The Clinical Trial Matching Agent by Codersarts AI automates patient-to-trial matching using NLP-driven medical record analysis, eligibility rule interpretation, and intelligent reasoning.It reads patient medical histories, diagnoses, lab reports, medications, biomarkers, and demographic details, then compares them against thousands of clinical trial criteria to identify exact eligibility matches.

The agent integrates with EMR/EHR systems, hospital CRMs, trial registries, and internal research databases to deliver accurate, real-time recommendations—improving enrollment, reducing workload, and accelerating research timelines.

📊 Detailed Breakdown

Section	Details
Who It’s For	Hospitals, Research Institutes, CROs, Biotech & Pharma Companies, Oncology Centers, Precision Medicine Providers
Business Results	75% reduction in manual screening time Up to 60% increase in trial enrollment Higher accuracy in patient eligibility assessment Faster recruitment for time-sensitive trials
Workflow Summary	1️⃣ Patient Data Intake: Reads medical history, lab reports, diagnoses, medications. 2️⃣ Criteria Extraction: Parses inclusion/exclusion criteria from trial registries. 3️⃣ Eligibility Matching: AI compares patient records against trial requirements with medical reasoning. 4️⃣ Recommendation:Provides match ranking, confidence, and necessary follow-up actions.
Performance Metrics	⚡ 70–90% reduction in screening workloa 📊 85%+ accuracy in eligibility interpretatio ⏱ Faster enrollment cycles for ongoing trial 🔬 Increased diversity and volume in participant pool
Industry Example	🧬 Oncology: Matches cancer patients using biomarkers, staging, and treatment history. 🧪 Rare Disease Research: Identifies complex eligibility patterns. 🏥 General Hospitals: Pre-screens patients for ongoing internal and external clinical trials. 💊 Pharma: Accelerates recruitment for Phase I–IV studies.
Integrations & APIs	🔗 EHR Systems: Epic, Cerner, Meditech 🔗 Registries: ClinicalTrials.gov, WHO ICTRP, EUCTR 🔗 Databases: SNOMED CT, ICD-10, LOINC, RXNorm 🔗 Tools: LangChain, OpenAI GPT Models, OCR & Medical NLP Pipelines 🔗 Storage: PostgreSQL, MongoDB, Vector DB for medical embeddings

📈 Key Highlights

Metric	Result
⚙️ Efficiency	75% reduction in clinician screening workload
🧬 Precision	Medical-grade eligibility interpretation
🌐 Coverage	Thousands of trials analyzed in real-time
🎯 Accuracy	85%+ matching confidence across major conditions

🌍 Industry Impact

“AI-driven matching ensures that every patient is evaluated for every relevant trial, improving outcomes for both researchers and patients.”

This agent is driving transformation in oncology, pharma R&D, rare disease trials, and hospital research departments.With automated trial matching, organizations reduce enrollment delays, increase operational efficiency, and provide patients access to advanced treatment options.

💬 Client or Industry Quote

“Codersarts’ Clinical Trial Matching Agent helped us screen patients 5× faster and significantly improved recruitment for high-priority oncology trials.”— Director of Research, Leading Cancer Institute

Accelerate Clinical Research with Codersarts AI

Codersarts AI helps hospitals and research organizations automate patient-trial matching with medical-level precision and regulatory compliance.

📩 Email: contact@codersarts.com

💬 Request a Demo: https://ai.codersarts.com/contact

Primary Keywords: Clinical Trial Matching AI, Patient Trial Eligibility, Research Automation, Medical NLP, Codersarts AI Healthcare

The Clinical Trial Matching Agent automatically analyzes medical records and matches patients to trials using NLP, medical ontologies, and clinical eligibility rules.

AI Agent that matches patients to clinical trials with medical-level accuracy and automated eligibility interpretation.

Tech Stack Snapshot

Frameworks: Python, FastAPI, LangChain
AI Models: GPT-4/5 Medical Models, BioBERT, ClinicalBERT
Databases: PostgreSQL, MongoDB, Pinecone Vector DB
Integrations: Epic, Cerner, Trial Registries, HL7/FHIR APIs
Deployment: HIPAA-compliant cloud infrastructure, AWS/GCP/Azure