Predict Near Future Initiation of Bed Exit

Presence/absence in bed along with heartbeat, respiration, and gross motion in bed will be measured in 48 Budd Terrace residents, a long-term care facility of Emory Healthcare. Measurement will be done using only pressure-sensitive mats that lie underneath the mattress and never touch the patient. PHI information will be collected by Emory staff. This PHI will be restricted to: age at time of participation; medical conditions; and medications. The PHI will be stored in a locked file behind a locked door. Data management will provide a unique identifier for each participant linked to a name that will be kept separately from the aggregate data. The data collected from the bed sensor will be processed offline and separately from the PHI to do proof of concept evaluation for the use of machine learning technology to predict bed exits 1 to 5 minutes ahead of time.