LLM-POWERED SOLUTION

Clinical Trial Recruitment & Matching

This solution leverages LLMs to accelerate and optimize clinical trial recruitment by analyzing patient data, matching patients to suitable trials, and automating data extraction from medical records. This enables research institutions and pharmaceutical companies to conduct trials more efficiently and bring new treatments to market faster.

GET A DEMO SCHEDULE A WORKSHOP
Clinical Trial Recruitment & Matching
CONTEXT

Common Challenges & Pain

Clinical trials often face challenges related to slow and costly patient recruitment, inefficient patient matching based on eligibility criteria, and manual data extraction from unstructured medical records. These bottlenecks can hinder the progress of medical research and delay the development of new treatments.

  • Slow & Costly Recruitment
  • Inefficient Patient Matching
  • Manual Data Extraction

 

A PLATFORM STRATEGY

The Composable Approach

The platform integrates with existing Electronic Health Record (EHR) systems, clinical trial databases, and medical literature repositories. LLMs analyze patient data, match patients to eligible trials, and automate data extraction and analysis, providing researchers with a comprehensive and efficient solution for clinical trial recruitment.

STEP 1

Data Integration & Patient Profile Creation

The platform integrates with EHR systems and clinical trial databases to collect and structure patient data, creating comprehensive patient profiles that include medical history, medications, genetic information, and eligibility criteria.

STEP 2

Intelligent Patient Matching & Trial Recommendations

LLMs analyze patient profiles and match them to relevant clinical trials based on eligibility criteria, medical history, and specific research needs, ensuring patients are considered for the most suitable trials.

STEP 3

Automated Data Extraction & Analysis

LLMs extract relevant data from unstructured medical records, such as physician notes, lab reports, and imaging results, to support clinical trial data analysis and reporting, reducing manual effort and enabling faster analysis of trial results.

 

 

WHY COMPOSABLE

The Benefits of Clinical Trial Recruitment & Matching with Composable

Improved Accuracy & Efficiency

LLMs can analyze vast datasets of patient records, medical literature, and clinical guidelines to identify potential candidates for clinical trials with higher accuracy and speed than traditional methods, reducing recruitment time and costs.

Enhanced Patient Matching & Eligibility

LLMs can match patients to relevant clinical trials based on their specific medical history, genetic profile, and eligibility criteria, ensuring that patients are enrolled in the most appropriate trials for their condition.

Automated Data Extraction & Analysis

LLMs can extract relevant data from unstructured medical records, such as physician notes and lab reports, to support clinical trial data analysis, reducing manual effort and improving data accuracy, leading to faster insights.

Stat-improvement-graphic

 

 

APPLICABLE INDUSTRIES
Healthcare & Life Sciences

 

SOLUTION CATEGORY
Knowledge Querying

 

DEPARTMENTS
Customer Experience
TAKE THE NEXT STEP

Get a Demo of Composable

Experience a live demo, ask questions, and discover why Composable is the right choice for your organization.
GET A DEMO