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.

Inclusion Criteria:

• Adult patients (≥18 years) admitted with an acute medical disease and scheduled for discharge within five days from inclusion.

Exclusion Criteria:

• Allergy to plaster/silicone, pacemaker or ICD, inability to give informed consent or deemed not able to open the front door when visited by the investigator.

Patients are recruited from Copenhagen University Hospital - Bispebjerg and Frederikberg. Eligible patients are enrolled in the study at the time of hospital discharge following admission for an acute medical condition.