Rev Med (São Paulo RESUMO:O ensino da medicina Brasil afora é marcado pelo pouco interesse dos acadêmicos pelo tema de gestão em saúde no ensino superior. O reflexo disso são as inúmeras afrontas feitas diariamente à saúde nacional, devido ao mau gerenciamento de recursos públicos e privados, como tanto se vê em clínicas e hospitais atualmente. Tais problemas apresentam como uma de suas causas, entre tantas outras, a falta de conhecimento técnico por parte daqueles que assumem o poder administrativo na área da saúde, muitas vezes escolhidos por suas habilidades assistenciais e conhecimentos médicos, ao invés de por verdadeiro conhecimento e mérito gerencial. Nesse contexto, a Medicina Jr. surgiu como uma iniciativa estudantil a fim de aproximar os universitários da Faculdade de Medicina da Universidade de São Paulo do universo da gestão, apresentando-lhes a área e despertando o interesse para tal assunto tão pouco comentado nos currículos formais. Nasceu assim a ideia de unir os impactos positivos trazidos pela prática de atividades extra-curriculares ao ensino de gestão no ambiente universitário, na expectativa de contribuir para a formação de novos profissionais mais abertos ao tema e com maior conhecimento na área.

Background To demonstrate the value of implementation of an artificial intelligence solution in health care service, a winning project of the Massachusetts Institute of Technology Hacking Medicine Brazil competition was implemented in an urgent care service for health care professionals at Hospital das Clínicas of the Faculdade de Medicina da Universidade de São Paulo during the COVID-19 pandemic. Objective The aim of this study was to determine the impact of implementation of the digital solution in the urgent care service, assessing the reduction of nonvalue-added activities and its effect on the nurses’ time required for screening and the waiting time for patients to receive medical care. Methods This was a single-center, comparative, prospective study designed according to the Public Health England guide “Evaluating Digital Products for Health.” A total of 38,042 visits were analyzed over 18 months to determine the impact of implementing the digital solution. Medical care registration, health screening, and waiting time for medical care were compared before and after implementation of the digital solution. Results The digital solution automated 92% of medical care registrations. The time for health screening increased by approximately 16% during the implementation and in the first 3 months after the implementation. The waiting time for medical care after automation with the digital solution was reduced by approximately 12 minutes compared with that required for visits without automation. The total time savings in the 12 months after implementation was estimated to be 2508 hours. Conclusions The digital solution was able to reduce nonvalue-added activities, without a substantial impact on health screening, and further saved waiting time for medical care in an urgent care service in Brazil during the COVID-19 pandemic.

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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. OBJECTIVE 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. 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. CONCLUSIONS 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.