Alexander Phu

2019-11-21 06:07:00 (GMT) Background:
Emergency rooms can have widely varying wait times, from a few minutes to many hours.
Drastic wait times hinder patient care, as many patients have to wait an unnecessary amount of time to receive care. The implementation of augmented reality (AR) and machine learning to triaging patients will reduce wait times in the emergency room and improve overall patient care.

Methods:
Augmented Reality Triage System (ARTS) combines AR technology and machine learning that will allow for decreased patient wait times by means of more efficient triages. ARTS utilizes an augmented reality system through wearable glasses. Patients will enter the emergency room and be given the ARTS glasses, and a controller. Once the glasses are activated, each patient will first begin with selecting a preferred language. ARTS will utilize an augmented reality triage system. Questions will appear on the lens of the glasses that patients can interact with and answer. The use of augmented reality is to not only allow for easier understanding for patients through multiple language options, but to create a system in which multiple ARTS glasses, multiple patients can be triaged at once. ARTS will utilize machine learning to analyze the data and rank each patient based on immediate need for treatment. The need for care will be quantified and sent to a central database, where healthcare providers can quickly see which patients they should see first.

Conclusion:
The delay in the emergency room increases the stress put on physicians and other healthcare providers that can attribute to burnout. With the use of augmented reality and machine learning capabilities of ARTS, healthcare providers will triage multiple patients at once and see which patients need more immediate treatment, reducing emergency room wait times and improving patient experience.