- 4 September 2025
RE-SAMPLE: Real-time monitoring for shared adaptive, multi-domain and personalised prediction and decision making for patients with COPD and comorbidities
Type
Short description
• What is the practice about?
We use real-world data monitoring and artificial intelligence to:
– monitor symptoms beyond scheduled medical check-ups,
– give healthcare professionals and patients unique insights into day-to-day triggers that can lead to health complications,
– provide insights into the relationships between patients’ clinical and non-clinical characteristics and how these impact disease progression
– support pro-active management, personalised treatment and referral to a virtual companionship program including a patient application (Healthentia application) for remote monitoring and a clinical dashboard for healthcare professionals
• When was it developed and by whom?
It is developed in a multidisciplinary consortium (10 European partners) in a European Horizon2020 project (2021-2025)
• What is the intended audience / target group?
Patients with COPD and comorbidities, healthcare professionals
• Who might be interested in learning about or wish to use / apply it?
Healthcare professionals, patients and researchers
• What are the conditions for using / applying it (e.g., free, license agreement, etc.)?
Licence agreement and open clinical decision aid
Evidence
Maturity
Countries
Italy
Netherlands
Geographical scope
Language(s)
Comment
Submitted in other database or repository of digital health resources that is publicly available
Additional information
Relations
to clinicians / care practitioners
Health data analytics (Artificial Intelligence/algorithm development and calibration/machine learning/risk stratification tools/etc.)
Care pathway tracking and adherence
Clinical team care planning and collaboration tools (e.g. digital shared care plan)
Alerting systems for abnormal test results
Escalation systems tracking home monitoring data streams
Regional and national Electronic Health Record systems
to patients / citizens
Sensors/wearable devices
Telehealth and telemedicine
Personalised prevention apps
Health promotion and wellness apps and wearables/virtual coaches
Health data analytics (Artificial Intelligence/algorithm development and calibration/machine learning/risk stratification tools/etc.)
Digital tools to support health education (health literacy)/digital health literacy
Reminders/alerts
Digital tools to support patient feedback and reporting of outcomes and experiences
Self-management/ICT supporting adherence to medication and care-plans