PatientX provides the life science industry with standardized patient experience measurement using scientifically validated instruments. This unbiased, third-party data quantifies patient needs and expectations to improve clinical trial outcomes and retention. Real-time, AI-enabled analytics help sponsors and sites take corrective action to enhance patient-centric approaches and comply with FDA guidance.
Funding
Funding not disclosed

Founders
Product
Problem
Clinical trials often suffer from delays and cancellations due to low patient participation, lack of diversity, and high dropout rates, leading to significant financial burdens and delayed access to life-saving therapies. Understanding and addressing the emotional and structural barriers that influence a patient's decision to participate is critical for improving trial outcomes. Current methods often fail to capture and democratize patient experience data effectively, hindering efforts to improve patient-centric approaches.
Solution
PatientX provides a data and technology platform designed to capture and analyze patient experience data in clinical trials using scientifically validated, standardized measurements. As an unbiased third party, PatientX offers real-time data insights and AI-enabled analytics to identify and predict patient flight risks, enabling sites and sponsors to take corrective action and prevent disengagement. The platform measures the quality of human interaction patients experience with sites, clinical trial care teams, and technology throughout their journey. By aligning patient perspectives with organizational KPIs, PatientX helps improve patient retention, diversity, equity, and inclusion, and optimize clinical trial designs.
Target Audience
The primary target audience includes pharmaceutical companies, clinical research organizations (CROs), academic research institutions, and clinical trial sites seeking to improve patient engagement, retention, and diversity in clinical trials.
Features
- Standardized patient experience measurement using scientifically validated instruments
- Real-time data and AI-enabled analytics to identify and predict patient flight risks
- Demographic and industry benchmark analysis to quantify emotional and structural factors influencing patient participation
- Secure data collection and storage, ensuring patient privacy and data integrity
- Customizable dashboards and reporting tools for sponsors and clinical trial sites
- Multilingual support for patient surveys, including Arabic, Urdu, and Hindi