AIRA, an Artificial Intelligence Realistic Assistant that Will Save Your Time: Proof of Concepts

Abstract

Background: AIRA is an AI designed to reduce the time that doctors dedicate filling out EHR, winner of the first edition of MIT Hacking Medicine held in Brazil in 2020.As a proof of concept, AIRA was implemented in administrative process before its application in a medical process. Aim: The aim of the study is to determinate the impact of AIRA by eliminating the Medical Care Registration (MCR) on Electronic Health Record (EHR) by Administrative Officer. Setting: The study was conducted at Hospital das Clinicas of the Faculty of Medicine of the University of Sao Paulo (HCFMUSP)´s employee´s care center. Methods: This is a comparative before-and-after study following the guidance “Evaluating digital health products” from Public Health England. An Artificial Intelligence named AIRA was created and implemented at CEAC (Employee Attention Center) from HCFMUSP. A total of 25,507 attendances were evaluated along 2020 for determinate AIRA´s impact. Total of MCR, time of health screening and time between the end of the screening and the beginning of medical care, were compared in the pre and post AIRA periods. Results: AIRA eliminated the need for Medical Care Registration by Administrative Officer in 92% (p<0.0001). The nurse´s time of health screening increased 16% (p<0.0001) during the implementation, and 13% (p<0.0001) until three months after the implementation, but reduced in 4% three months after implementation (p<0.0001). The mean and median total time to Medical Care after the nurse’ Screening was decreased in 30% (p<0.0001) and 41% (p<0.0001) respectively. Conclusion: The implementation of AIRA reduced the time to medical care in an urgent care after the nurse´ screening, by eliminating non-value-added activity the Medical Care Registration on Electronic Health Record (EHR) by Administrative Officer. Funding Statement: Fundacao Faculdade de Medicina (FFM) for the costs of equipment, S.K.O. would like to thank Brazilian Council for Development of Science and Technology (CNPq) for grant PQ 308609/2018-2. Declaration of Interests: We wish to confirm that there are no known conflicts of interest associated with this publication and there has been no financial support for this work that could have influenced its outcome.