Human Experience Dynamics provides a next-generation ePRO platform that captures continuous, time-series patient-reported data and integrates it with physiological biomarkers from wearables. Our Temporal Experience Tracing™ method offers granular insights into patient experiences, enabling researchers to detect early disease indicators and improve patient safety.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional electronic patient-reported outcome (ePRO) measures in clinical trials rely on static questionnaires, which fail to capture the continuous, high-resolution data needed to understand the nuances of patient experiences. This data gap limits the ability to correlate subjective symptoms with objective physiological biomarkers, hindering early detection of adverse events and a comprehensive understanding of intervention efficacy.
Solution
Human Experience Dynamics offers a next-generation ePRO platform that captures continuous, time-series patient-reported data, aligning it with physiological biomarkers from wearable devices. Our proprietary Temporal Experience Tracing™ (TET) method allows patients to visually map symptom intensity over time, providing granular insights into their experiences. This high-resolution data enables researchers to identify early indicators of disease progression or remission, improve patient safety by contextualizing adverse events, and enhance data quality by detecting subtle symptom fluctuations. The platform facilitates a deeper understanding of intervention impact by linking subjective patient experiences with objective metrics.
Target Audience
The platform is designed for biopharmaceutical companies, Contract Research Organizations (CROs), hospitals, and health-tech firms conducting clinical trials who require nuanced patient-reported outcome data.
Features
- Temporal Experience Tracing™ (TET): A proprietary method for patients to visually map symptom intensity and progression over time, generating dynamic time-series data.
- Wearable Device Integration: Seamlessly integrates with data from smartwatches, fitness trackers, and portable EEG systems to align subjective patient experiences with objective physiological metrics.
- High-Resolution Symptom Capture: Detects intra-day fluctuations in experience states, offering greater sensitivity than traditional static questionnaires.
- Data Anonymization and Encryption: Adheres to GDPR and HIPAA standards for secure data storage and protection.
- Patient-Centric Design: Intuitive interface designed to reduce patient burden and improve compliance.
- Machine Learning Data Labeling: Enables the labeling of physiological data points with continuous patient symptom data for advanced ML model development.