Hugo Health
Hugo Health enables individuals to link and control their health-related data from various sources, supporting research through participant-centered features and secure data integration.
Services
Hugo Health offers a platform that enables users to link various health-related data sources, including electronic health records, pharmacy data, billing records, and data from smartwatches or wearables. The platform provides users with control over their health data, allowing them to decide whether to share it or not. Additionally, Hugo Health supports research by enabling users to join studies and share their health data securely.
Participant-Centered Research
Hugo Health's platform is designed for participant-centered research, offering features like virtual enrollment, e-consent, and secure participant-reported data collection. It supports the automatic collection and regular updates of clinical data through participant-linked patient portals. The platform facilitates long-term relationships between researchers and participants, contributing to vital longitudinal data for ongoing research.
Compliance and Security
Hugo Health's platform, hosted on Amazon Web Services (AWS), adheres to the security guidelines outlined by HIPAA and the Federal Trade Commission (FTC). The platform undergoes annual penetration tests and regular system audits to ensure robust security. It is compliant with 21 CFR Part 11 and the HIPAA security rule, ensuring that users' health data is handled with the highest standards of security.
Research Collaborations
Hugo Health has been involved in several research studies, including the Yale LISTEN Study and FDA-sponsored studies on opioid prescribing and wearable devices. The platform also supports the CDC-sponsored INSPIRE Registry. By enabling users to join and securely share data with research efforts, Hugo Health contributes significantly to advancing medical research.
Technological Features
Hugo Health's platform integrates data from fitness trackers, connected devices, and other sensors to aid in creating comprehensive longitudinal records. It normalizes and harmonizes ingested data for improved integrity, including de-duplication and automated ontology mapping. These technological features enhance the reliability and usability of the health data collected.