Digital solutions to make health data ready for research
Our digital solutions make health data research-ready and promote evidence-based medicine.
Health apps, fitness trackers, and wearable devices are leading to a wealth of user-generated health data. This data and the data collected by doctors and hospitals is often not usable for research. The reason: a lack of standards and incompatible systems. Our Researcher Journey offers 3 solutions to this problem.
D4L Evidence Health Solutions
Our solutions help medical researchers study diseases in depth and develop groundbreaking new treatments. We aim to improve patient health in the long term by following three goals:
- Digitizing health data collection
- Increasing interoperability
- Making new data available to researchers
Collaborating with our trusted partners, we co-create solutions and accompany projects that generate novel insights and drive evidence-based medicine.
D4L Collect
Sensor Data Collection Platform
Design, conduct, and manage digital health studies of any size, simultaneously collecting data from questionnaires and a variety of sensors and wearable devices. The collection process is streamlined to generate a harmonized research-ready dataset.
- Full control over collected data, safeguarding privacy and compliance
- Access to raw sensor data
- Effortless experience for study participants
Data2Evidence
Health Data Management & Analytics Solution
A Quick Overview
A Deep Dive
Extract clinical data from fragmented systems and standardize it using the OMOP Common Data Model, enabling seamless, interoperable research across sites and studies. Built-in data quality tools ensure early issue detection, while predefined data flows accelerate the path to a research-ready dataset.
Quickly identify the data you need, visually define and compare cohorts, and explore results through intuitive charts. Whether you're running in-platform analyses or integrating with external machine learning workflows, the process is streamlined, secure, and scalable.
- Predefined data flows for efficient ingestion
- Integrated data quality checks throughout
- Visual cohort creation and comparison
- Interactive charts for data exploration
- Fine-grained access control and full version management
- Easy sharing of curated datasets with collaborators
D4L FAIR
Health Research Metadata Catalog
Connect and expose your research data across departments, institutes, and geographies by making it discoverable and facilitate its subsequent use.
- Highly configurable metadata model
- Advanced search capabilities
- Standardized form to request access from data owner
Our solutions in action
SensorHub
Data4Life and the Chair for Digital Health - Connected Healthcare at the Hasso Plattner Institute are building the SensorHub platform making wearable and sensor data ready for research.
AIR·MS
Data4Life contributes to the AI ready platform at Mount Sinai, giving researchers access to vast datasets across the Mount Sinai Health System.
Metadata Exchange Platform for the RKI
MEx is a digital platform that maps metadata on research activities and research data at the RKI in a transparent way, aiming to facilitate the reuse of this data.
