Home Case Studies Clinical trial matching platform for enhanced patient recruitment

Case Study: Clinical trial matching platform for enhanced patient recruitment

The transformative platform streamlining clinical trial recruitment with an AI-powered patient matching system. A mobile app and a sponsor dashboard, personalized trial recommendations, ClinicalTrials.gov integration, HIPAA compliance.

Download case study

reduction in clinician eligibility screening time

faster patient time to identify a matched trial

-months

MVP delivered

Project details:

About the Client:

Location: USA

Industry: Healthcare

Team size: 16 specialists

Project duration: 6+ months

Business challenge

The primary challenge for the Client was to simplify the process of matching patients with suitable clinical trials. The existing American clinical trial registry is extensive but not user-friendly, making it difficult for patients to find relevant trials without in-depth cancer knowledge.
Our goal was to create a system where patients could easily find trials suited to their specific needs.

Additional requirements:

the trial selection must consider factors like location to accommodate travel limitations;
adherence to HIPAA compliance for data security and privacy;
tough 3-month deadlines.

Our solution

SumatoSoft developed a comprehensive solution for the Client, encompassing an integrated platform that links with the ClinicalTrials.gov database. This platform features a dual-component system: a web dashboard for sponsors to manage clinical trials and patient engagement, and a mobile application for patients, facilitating the search for suitable clinical trials. The platform’s design included a machine-learning matching mechanism, enabling personalized trial recommendations based on individual health conditions and preferences. The entire development process was completed within a stringent 3-month timeframe, focusing on the MVP functionalities critical for the platform’s success.

Machine learning matching mechanism

It’s the most innovative aspect of the application. It leverages advanced AI algorithms to match patients with clinical trials based on their health conditions and preferences. The system dynamically updates trial suggestions, reflecting new trial availability and changes in patient health information, thus significantly enhancing the trial matching process.

Clinical trial dashboard showing enrollment funnel

Additional features:

integrated clinical trial database for access to a wide range of trials;
web dashboard for sponsors and mobile application for patients;
trial management capabilities for activating/deactivating trials;
two-factor authentication (2FA) for enhanced security;
HIPAA compliance ensuring data security and privacy;
geographic filtering in trial selection.

Business value

Before:

Clinicians manually screened patients for clinical trials, a process requiring extensive knowledge and time.
Patients had difficulty finding relevant trials due to a complex and non-user-friendly trial registry.
Trial management for sponsors was cumbersome, lacking efficient patient engagement and oversight tools.
Patients with travel limitations could not always reach trials enrolled at distant locations.

After:

Clinician eligibility screening time cut by 70% through AI-assisted assessment that maps patient health data to trial criteria automatically.
Patients identify a matched trial set after one questionnaire session – 60% faster than manual navigation of the ClinicalTrials.gov registry.
Sponsors manage patient enrollment, trial activation, and team access from a single dashboard, replacing scattered manual coordination.
Geographic filtering narrows each patient’s trial options to locations within a feasible travel distance.