Uber Health

Use our inexpensive and easily worn Bluetooth Low Energy Sensors to power our real-time location software. These sensors are available in multiple form factors and have a long battery life, allowing for use in outpatient clinics, operating rooms, inpatient areas, home care, and equipment tracking. Our easy-to-install RTLS gateways transmit Bluetooth signals to our secure cloud. These gateways are compatible with enterprise WiFi networks, and do not require additional wiring. Outperform expensive legacy hardware vendors with Apprentice Health's accurate RTLS software. With Apprentice Health, enterprise grade RTLS is now affordable and easy to deploy. Power our software modules using your existing hardware or any alternative hardware suppliers that meets our minimum performance requirements. Apprentice Health supplied gateways can also ingest multiple types of sensor data including voice, vision, temperature, and vitals. Ensure that your infrastructure can serve multiple future use cases and that your innovation isn't slowed by legacy hardware and vendor lock-in.

Use our scheduling module to leverage sensor data and create patient scheduling templates that drastically reduce wait times and waiting room occupancy without prolonging the workday. Incorporate every important variable including no-shows, cancellations, clinician practice patterns, arrival times, shared resources, and the full distribution of team member interaction times. Our optimal scheduling templates support in-person and telehealth visits, and can be updated to reflect adjustments to staff's workday, preferences, visit volume, and more.

Display your patient's predicted wait time with real-time displays in waiting rooms. Predicted wait times are automatically displayed for each patient upon check-in, requiring no action on part of front desk staff. Text predicted wait times and ready-to-room notifications to patients waiting in parking lots or other areas outside of the clinic to minimize waiting room occupancy. See where patients are, how long they have been waiting, and which care team staff member is with each patient in real-time. Set wait time thresholds to automatically trigger alerts for when patients have been waiting too long and intervene in ways that improve the experience of care. See which rooms are available, occupied, and in need of cleaning to help move patients safely through their visit with minimal delay while keeping staff and space adequately utilized.

Use simulation and deep learning to detect bottlenecks on a daily basis and simulate how adding additional clinicians and patient visits impacts patient flow metrics and occupancy.