While in the hospital, patients rely on ancillary staff for a host of services which enable them to go through their patient care journey holistically and more swiftly. Here are just a few use cases where, with the help of real-time technologies and redesign processes, your organization can better coordinate ancillary services, driving higher patient satisfaction.
With an RTLS system, you can track the progress of patients through the OR and report on each patient and each OR. This information can be distributed to the appropriate ancillary staff to get ready for patient recovery process.
Automatically notify appropriate personnel when OR procedures are complete so that rooms can be cleaned and prepared for future surgeries immediately. Staff can also be alerted at various milestones such as when the patient, staff, anesthesiologist and surgeon arrive or leave the operating room.
Automate EVS room cleaning requests based upon discharge orders or patient transport request and automatically place rooms back into “Available” once EVS completes the cleaning process.
Increase efficiency and resource optimization through real-time monitoring of food order delivery times. Additionally, you can use staff location and status information during high periods of delivery demand to request assistance of available cross-trained transport and/or EVS staff. Data can also be used to correlate them to patient satisfaction scores to identify areas of improvements and monitor progress.
Use real-time location information to notify ancillary staff when patients are en-route and when they arrive to better coordinate supporting services.
Automate the dispatching and completion of transport task based upon movements and proximity of transporters.
Automatically identify and validate patient discharge so that rooms can be cleaned and readied for new occupants in as short a time as possible.
With the use of staff status information in the RTLS system, task assignments can be automatically made based upon staff availability and location. With a real-time view of current workloads by individual, resource leveling decisions can be made as needed.