DIGITAL HEALTH CARE ASSISTANCE CHRONIC DISEASES

Our digital health care assistant is a modular, patient-centered solution designed to support the practical implementation of Disease Management Programs (DMPs) for chronic conditions such as Asthma, Diabetes, Breast Cancer, Cardiovascular Disease, COPD, Chronic Back Pain, Osteoporosis, Rheumatoid Arthritis, and Prostate Cancer. Our digital assistant transforms Disease Management Programs into daily practice. From asthma to oncology, it empowers patients and care teams with personalized tools, AI-driven insights, and seamless coordination.

The assistant combines evidence-based guidelines with intuitive digital tools to empower patients and healthcare providers alike. Key features include:

• 📱 Personalized Patient Interface: Tailored dashboards for symptom tracking, medication adherence, and lifestyle goals.

• 🧠 AI-Driven Decision Support: Real-time alerts and recommendations based on DMP protocols and patient-reported outcomes.

• 🤝 Integrated Care Coordination: Secure communication between patients, GPs, specialists, and care teams.

• 📊 Data-Driven Insights: Aggregated health data visualizations to support shared decision-making and early intervention.

• 🌍 Multilingual & Accessible: Designed for diverse populations, with support for German and English, and inclusive UX.

Ready to scale.

Innovation: Medical frameworks, guidelines, and reimbursement structures are already in place. What’s missing is a compatible digital solution. Our assistant fills this gap: the first scalable tool for DMP education in daily practice. TRL 7 – prototype ready, scaling in progress.The framework conditions for Disease Management Programs (DMPs) are already established for digital implementation by the Federal Joint Committee (G-BA)

Impact: With over 10 million potential patients in Germany alone and similar numbers across Europe, this solution offers massive potential for personalized chronic care. It empowers practices, boosts adherence, and reduces system costs.

Relevance: Currently, only around 35% of asthma patients in Baden-Württemberg receive structured education. The target is at least 80%. For asthma alone, this represents a potential of approximately 4 million patients. Similar gaps exist across other indications: for example, COPD education reaches only 30% of patients, breast cancer just 15%, and so on.

Challenge: The medical knowledge base is well established, and the clinical parameters for each diagnosis are clearly defined. The main challenge lies in developing a compatible digital physician assistant that can operationalize these Disease Management Programs (DMPs). A second challenge is the implementation dynamic within specialist practices, which requires workflow restructuring and learning. However, the scientific mandate is clear, reimbursement is secured through extra-budgetary mechanisms, and even the “Digital DMPs” (D-DMPs) have already been approved by the Federal Joint Committee (G-BA). With support from health insurers, we can accelerate adoption and scale implementation.

Goal: Development of a digital health care assistant powered by your technical expertise.