Riverr provides a secure online trust management platform that connects and organizes patient data from various sources, including Electronic Health Records and remote monitoring systems, using FHIR standards. The platform enables stakeholders to securely store and analyze health data, facilitating early diagnosis and chronic disease prediction while ensuring compliance through robust data governance and encryption.
Funding
$996.4K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
The healthcare industry struggles with fragmented patient data residing in disparate systems, hindering comprehensive analysis and early disease detection. Integrating data from electronic health records (EHRs), remote monitoring devices, and social determinants of health (SDoH) sources remains a challenge. This lack of interoperability limits the ability to predict chronic diseases and provide timely, personalized care.
Solution
Riverr offers a secure, standards-based platform that connects and organizes patient data from various sources, creating a unified health-data ecosystem. By ingesting data from EHRs, remote monitoring systems, and SDoH sources, Riverr provides a comprehensive view of patient health. The platform incorporates access controls and end-to-end encryption to ensure data security and compliance. Riverr enables stakeholders to process, securely store, and analyze compliant data, facilitating early diagnosis, chronic disease prediction, and improved patient outcomes through data analytics on comprehensive datasets.
Target Audience
Riverr targets healthcare providers, health-data-ecosystems, and organizations seeking to securely connect and analyze patient data for improved health outcomes.
Features
- FHIR-based data infrastructure for organizing and standardizing health data.
- Secure data storage with access controls to limit user permissions and prevent unauthorized access.
- End-to-end encryption of all user data and communication.
- Automated data ingestion from disparate health data sources, including EHRs, remote monitoring data, and SDoH.
- Data analytics capabilities for predicting chronic diseases and promoting early diagnosis.