RE-SAMPLE: Real-time monitoring for shared adaptive, multi-domain and personalised prediction and decision making for patients with COPD and comorbidities

Keywords: Artificial Intelligence (AI), Chronic Obstructive Pulmonary Disease (COPD), Remote Monitoring, Self-Management
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Type
Digital solution and service (e.g. application/digital health portal/platform/AI based system/etc.)
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
Impact on health outcomes, Economic value to health and care systems, Economic value to patients, Contribution to citizen empowerment
Maturity
There is evidence for economic viability and/or of benefits to the target group of the practice. Further research/development is needed for routine use.
Countries
Estonia
Italy
Netherlands
Geographical scope
European
Language(s)
English, Estonian, Italian, Dutch
Comment
3 hospitals
Submitted in other database or repository of digital health resources that is publicly available
No

Additional information

Relations
to clinicians / care practitioners
Clinical decision support
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
Remote monitoring apps/health outcomes tracking
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
Primary target patient group (age)
Adults (25-64), Older adults (65+)
Use case and care pathway positioning
Treatment, Disease monitoring, treatment compliance, self-management, Early detection and early diagnosis, precision diagnosis, Prevention and wellness, Integrated care pathways, Patient or citizen communities, self-help and mentoring, Clinical trial data collection, Reuse of data for research
Ready to be transferred to
Transferability has not been considered in a systematic way.
Plans for cross-border implementation
Are considered and will be developed in the near future