Honic provides a secure data ecosystem that normalizes and links real-world health data from various healthcare silos into a FHIR common data model, ensuring GDPR compliance throughout the process. This platform enables researchers to access high-quality, anonymized datasets for in-depth analysis, facilitating advancements in medical research and AI applications.
Funding
Funding not disclosed
Founders
Product
Problem
Accessing and linking real-world health data from disparate sources in Germany is challenging due to data silos and stringent GDPR compliance requirements. This fragmentation hinders comprehensive research and the development of AI applications that could improve patient care.
Solution
Honic provides a secure and GDPR-compliant data ecosystem that normalizes and links real-world health data from various healthcare providers in Germany. The platform transforms data into a FHIR common data model, enabling researchers to access high-quality, anonymized datasets for in-depth analysis. Honic facilitates the linkage of EHR, lab, and mortality data, offering both cohort statistics dashboards and access to anonymized raw data packages within a secure analysis environment. This allows for comprehensive research, including AI applications, to improve diagnosis and treatment solutions.
Target Audience
Honic's primary customers are researchers and organizations involved in medical research and AI application development, as well as healthcare providers interested in contributing their data for research purposes.
Features
- Normalization of data from care providers into a FHIR common data model
- Data quality control and linkage across silos using an interoperable pseudonym
- Near-time data provision and automated updates for cohort statistics dashboards
- Secure analysis environment for accessing and analyzing anonymized raw data
- Flexible linkage of data sources on the Honic platform
- Dashboards providing insights into the care situation of specific cohorts