Phases provides an AI-driven platform that automates clinical trial patient identification and prescreening. It rapidly scans patient databases to match individuals with studies and engages them through personalized, multi-channel communication to collect medical histories and improve conversion rates.
Funding
Funding not disclosed
Founders
Product
Problem
Clinical trial patient recruitment is often hindered by manual, time-consuming processes for identifying eligible participants and engaging them effectively. This leads to extended trial timelines and increased operational costs due to inefficient prescreening and low conversion rates.
Solution
Phases offers an AI-driven platform designed to automate and accelerate clinical trial patient identification and prescreening. The system integrates seamlessly with existing workflows, scanning patient databases to identify potential matches for active studies in under a minute. It then initiates personalized, multi-channel communication with these individuals via phone, chat, text, and email to collect detailed medical histories and address concerns. This automated engagement process ensures immediate interaction with potential participants, improving the quality of prescreening and increasing trial conversion rates.
Target Audience
The primary users are clinical trial operations teams, research coordinators, and site managers within pharmaceutical companies, contract research organizations (CROs), and academic medical centers.
Features
- AI-powered patient database scanning for automated trial matching
- Multi-channel communication capabilities (phone, chat, text, email) for participant engagement
- Automated collection of comprehensive medical histories for prescreening
- Intelligent scheduling of visits and transportation for eligible participants
- HIPAA-compliant data handling and processing
- Seamless integration with existing clinical trial management workflows
- Personalized patient interactions to enhance confidence and conversion