AI-based Predictive and Interventional System for Early Detection of Non-compliance Risks
This research forms part of a continuous quality improvement initiative. It aims to assess patient compliance of oral therapies by artificial intelligence. It could overcome the limitations of current practices and enhance the responsiveness and accuracy of clinical interventions.
| Condition(s) | Lymphoma, Non-Hodgkin, Care Coordination |
|---|---|
| Status | Recruiting |
| Study type | Observational |
| Summary | This research forms part of a continuous quality improvement initiative. It aims to assess patient compliance of oral therapies by artificial intelligence. It could overcome the limitations of current practices and enhance the responsiveness and accuracy of clinical interventions. |
| Who can participate | Inclusion Criteria: * All patients aged 18 and over who are treated in the Haematology Department at the Grand Hôpital de Charleroi from November 2025 onwards * Treated for a lymphoma, Non Hodgkin * Capable of giving informed consent Exclusion Criteria: * All other patients who did not meet the eligibility criteria |
| Ages | 18 Years |
| Sex | All |
| Lead sponsor | Grand Hôpital de Charleroi |
| Locations | Charleroi, Hainaut, Belgium |
| Start date | 2026-02-15 |
| NCT ID | NCT07546188 |
| Official listing | https://clinicaltrials.gov/study/NCT07546188 |