Clinical Research Directory

Virtual Ward for Early Discharge in Patients Receiving Inpatient Care

This study evaluates the feasibility of providing hospital-level care at home for eligible patients through a Virtual Ward. Patients are discharged early from the hospital and monitored remotely using digital vital sign monitoring and anamnesis questionnaires. The primary aim is to determine if at least 30% of eligible patients can be safely and successfully transferred to the Virtual Ward under current Dutch healthcare conditions.

Alert Burden When Monitoring Patients at Home

The aim of this observational study is to evaluate the burden and clinical relevance of vital sign alerts during home monitoring in recently discharged medical patients. The primary outcome is the total number of vital sign alerts per patient per day. Secondary outcomes include the number of alerts per specific vital sign parameter, the frequency of alerts during daytime versus evening and nighttime, and the peak alert time during the day. We will compare alert data without filtering to data processed with AI-driven filtering methods to assess if these filters reduce the number of non-actionable alerts while maintaining clinical relevance. Participants will be equipped with wearable devices to continuously monitor heart rate, respiratory rate, blood pressure, and oxygen saturation during the first days after hospital discharge. Vital signs will be transmitted remotely, and alerts will be generated based on predefined thresholds.

Thromboembolic Risk Assessment in Patients Admitted With Acute Medical Diseases to Conventional and At Home Hospitalization

The thromboembolic disease is a common complication of patients admitted to conventional hospitalization units. To prevent such complications, thromboprophylaxis is indicated in high-risk patients identified with validated risk-assessment models such as Padua score and IMPROVE-VTE score. However, the relation between thromboembolic disease and inpatients is yet to be demonstrated in new clinical settings such as at home hospitalization units. Moreover, patient immobilization is key in the pathogenesis of thromboembolic complications: therefore, it is crucial to collect raw data of patient mobility during admission. The goal of this observational study is to compare the thromboembolic risk of patients admitted with acute medical diseases to at home hospitalization units with conventional hospitalization units. The main questions it aims to answer are: * Is the estimated thromboembolic risk of patients admitted with acute medical diseases to at home hospitalization units similar to those admitted to conventional hospitalization units? * Are the risk-assessment models used to predict thromboembolic risk of patients admitted with acute medical diseases to conventional hospitalization units (Padua and IMPROVE-VTE score) valid in at home hospitalization patients? Participants admitted with acute medical diseases to either a conventional hospitalization unit or at home hospitalization units will be included in a prospective registry in order to investigate the 90 days incidence of thromboembolic disease. A cohort of such patients will be controlled with triaxial accelerometer in order to collect raw data regarding patient mobility during admission.