Project number
16070
Organization
UA Center for Accelerated Biomedical Innovation
Academic year
2016-2017
The team’s goal is to design and build a patient-tracking system to optimize the progress of patients through their hospitalization. The system designed increases hospital productivity by allowing healthcare professionals to easily see patient status without extra consultations, saving patients time and hospitals money.
The team developed an iOS-based mobile application that communicates with Bluetooth beacons that read tags attached to patients as wearable devices. The application uses Wi-Fi to send and receive data to a server via the hospital’s local area network.
The application allows healthcare professionals to determine if patients are ready to be discharged and approximately how long they have been waiting. The application also computes and recommends to the user the fastest route to a patient, according to a customizable algorithm that takes into account distance, wait time, floor layout and other relevant variables.
The team developed an iOS-based mobile application that communicates with Bluetooth beacons that read tags attached to patients as wearable devices. The application uses Wi-Fi to send and receive data to a server via the hospital’s local area network.
The application allows healthcare professionals to determine if patients are ready to be discharged and approximately how long they have been waiting. The application also computes and recommends to the user the fastest route to a patient, according to a customizable algorithm that takes into account distance, wait time, floor layout and other relevant variables.