Home-monitoring in Rheumatic Diseases: Towards Efficient and Efficacious Treatment with Immunomodulatory Drugs Close to Home (HM-RD)
AI-driven home monitoring for personalised, efficient treatment of rheumatic diseases
HM-RD is a new public-private partnership uniting Amsterdam UMC, UMC Utrecht, Reade, Sanquin, Evidencio, and Insight Rx to transform the management of rheumatic diseases. The project aims to develop and implement a personalised, AI-driven home monitoring tool that integrates blood-based biomarkers, drug levels, and patient-reported outcomes, enabling more effective and efficient treatment close to home.
Rheumatic diseases, such as rheumatoid arthritis, affect over 300,000 people in the Netherlands and are increasing in prevalence. These chronic conditions have a major impact on quality of life, workforce participation, and healthcare costs. Current treatment is often based on trial-and-error, with limited integration of diagnostic data and little personalised advice. Patients, doctors, and laboratory specialists each have access to separate pieces of information, making it difficult to optimise care and respond quickly to disease flares or medication side effects. There is a clear need for a more integrated, proactive, and patient-centred approach.
The HM-RD project will create a digital care pathway that allows patients to collect blood samples at home and complete questionnaires on disease activity and side effects. These data will be analysed using AI algorithms to monitor treatment efficacy, toxicity, and drug levels (including methotrexate and TNF inhibitors). The system will provide personalised treatment recommendations and proactive alerts to both patients and clinicians, supporting timely interventions and dose adjustments. The approach will be validated in real-world settings and is designed to be scalable to other chronic diseases.
The main deliverables are a validated AI-powered home monitoring tool, a digital care pathway for home sampling and data integration, and CE-ready algorithms for clinical implementation. These results will enable more precise, efficient, and patient-friendly management of rheumatic diseases, reduce unnecessary hospital visits, and improve outcomes for patients and the healthcare system.
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