Digital Health
WE ARE YOUR PARTNER
IN THE DIGITALIZATION JOURNEY
Digital Health
WE ARE YOUR PARTNER
IN THE DIGITALIZATION JOURNEY
Our Digital Health Services
Our team develops digital medical registries and certified digital health apps and delivers AI-driven analytics for better patient care through digital health innovation.
Medical Registry Architecture & Development
Build a solid data foundation. We create reliable, compliant registries for efficient data collection and management, with patient journey visualization, and data quality/integrity tests, designed to support healthcare providers and researchers.
Smart Data Extraction
Extract insights from complex data. Our algorithms and AI models quickly transform raw data into clear, actionable insights, helping you make better decisions faster.
DiGA Development
Develop certified digital health apps. From idea to launch, we create Digital Health Applications (DiGAs) that enhance patient care, meet regulatory standards, and integrate easily into clinical workflows.
Meta-Data Management
Organize data for better analysis. Our meta-data solutions make your digital health application more accessible and usable, improving searchability in a growing digital product world.
AI-Powered Analytics
Use AI algorithms to predict large amounts of patients and endpoints. Our validated AI models help you continuously forecast the endpoints that matter to you, simplifying the complexity of big data to close scientific evidence gaps.
Case Study: Automating Clinical Data Extraction with RWD
Real-World Data for Efficient and Scalable Insights
The Challenge of Extracting Clinical Data Efficiently. Healthcare systems generate vast amounts of
valuable real-world data (RWD), but much of it remains unstructured and difficult to access. A major challenge is transforming unstructured medical reports into structured datasets that can be used for research and decision-making. Manual data extraction is time-consuming, prone to human error, and significantly limits the scalability of studies. In the case of a real-world study, the manual effort was approximately four times higher than anticipated, drastically reducing efficiency.
A leading Swiss healthcare registry provider approached us with the challenge of extracting and structuring clinical data efficiently. While the healthcare system stored a wealth of valuable patient information, a significant portion remained in unstructured medical reports, requiring an innovative solution to automate data processing.
The Rewoso Approach to Automating Data Extraction. To address this, an automated pipeline was designed to extract and structure clinical data efficiently. The process involved:
- Seamless Data Integration: Reports were sourced using robotic process automation (RPA) to enable large-scale data extraction.
- Text-to-Structured Data Conversion: Medical reports were processed using a locally deployed large language model (LLM) to ensure data privacy.
- Quality Calibration: Various language models were tested to optimize extraction accuracy while balancing computational efficiency.
- Automated Data Output: The extracted data was structured into a database for further validation and sensitivity analysis, significantly reducing manual workload.
Results. This automated approach improved the efficiency and reliability of real-world data extraction. By eliminating the need for extensive manual data collection, researchers were able to scale their studies more effectively while ensuring data accuracy. The structured datasets generated through this method provided a foundation for more robust real-world evidence, supporting better clinical insights and decision-making.
Case Study: MS Buddy (in development)Personalized Multiple Sclerosis Management
Real-World Data for Efficient and Scalable Insights
Real-World Data Meets Daily Life Support. Multiple sclerosis (MS) is a complex, chronic neurodegenerative disease that affects approximately 2.8 million people worldwide, including around 250,000 patients in Germany. Its progression and symptoms vary widely between individuals, making truly personalized care essential.
While disease-modifying therapies reduce relapse frequency, residual symptoms — including fatigue, cognitive dysfunction, pain, and mood disturbances — often persist, significantly impacting daily life and well-being.
Two Critical Gaps in MS Care:
- Progress Lost After Rehabilitation: Many patients improve during REHA, but without structured follow-up, daily routines fade and progress is lost. After a year, many feel like they’re “back at zero.”
- No Access to REHA: Many MS patients never attend REHA due to time, financial, or physical barriers. MS Buddy addresses this gap by enabling patients to integrate validated rehabilitation exercises at home, comfortably and independently.
The Rewoso Approach: Digital Therapeutics Powered by Real-World Data. Developed by REWOSO and the OST (Ostschweizer Fachhochschule), MS Buddy is a DiGA in development designed to deliver personalized, data-informed MS care — both in and beyond the clinic.
It features:
- Real-time symptom tracking
Fatigue, sleep, cognition, mobility, and more - Personalized, REHA-based interventions
Dynamically adapted based on patient progress - Seamless clinician integration
Real-time data flows into decision-support tools to optimize treatment.
Results. A New Standard in Precision MS Management
MS Buddy empowers patients by combining structure, support, and self-efficacy to help them manage their health with confidence and autonomy.
More than just a symptom tracker, it fosters routines, reinforces personal values, and boosts self-efficacy—enabling users to take control of their well-being and stay connected to everyday life.
MS Buddy’s precision analytics framework delivers scalable, personalized care — bridging the gap between
clinical expertise and daily experience:
• Enhanced patient self-management
• Smarter, data-informed clinical decisions
• Improved continuity of care and daily function
By combining real-time data, validated rehabilitation content, and clinician support, MS Buddy sets a new standard for digital MS care — one that is personalized, practical, and built for everyday life.
