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.
Study Type
OBSERVATIONAL
Enrollment
110
Continuous monitoring of vital signs performed using up to three CE- and FDA approved devices measuring heart rate, respiratory rate, systolic- and diastolic blood pressure, and SpO2. Data is transmitted to a CE-approved smartphone application that generates alerts in response to deviations based on predefined thresholds for duration and severity.
Bispebjerg Hospital
Copenhagen, Denmark
Number of vital sign alerts per patient per day
Time frame: Up to 8 days
Number of alerts per specific vital sign parameter per patient per 24-hour period
Time frame: Up to 8 days
Frequency of any vital sign alert per hour analyzed as daytime (08.00-15.59) vs. evening and nighttime (16.00-07.59)
Time frame: Up to 8 days
The hour of day with highest frequency of alerts
Time frame: up to 8 days
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.