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Abstract(s)
A verificação e identificação do paciente por um ID único é um procedimento importante para os cuidados médicos. Existe o risco do paciente não ser corretamente identificado durante este processo e, quando isso ocorre, pode resultar em danos graves. A Organização Mundial da Saúde informou que, em 2019, 4 em cada 10 pacientes sofreram danos na receção de cuidados médicos, totalizando 134 milhões de eventos adversos dos quais 2.68 milhões (2%) resultaram em óbito. Dado que os métodos de identificação por pulseira/etiqueta aparentam não ser suficientes a utilização de uma aplicação de reconhecimento facial poderá contribuir para reduzir os números apresentados. O objetivo deste estudo foi assim o de desenhar, desenvolver e avaliar uma aplicação móvel de saúde para identificação de pacientes usando tecnologias de reconhecimento facial e de realidade aumentada que num momento futuro possa contribuir para reduzir o número de eventos adversos com pacientes e, consequentemente, as mortes por eles causadas. Nesta aplicação, a tecnologia de reconhecimento facial para a verificação do paciente fornece um método preciso de identificação que, com o suporte da tecnologia de realidade aumentada, permite apresentar e facilitar a análise de zonas críticas de um paciente. Como método de avaliação, foi realizado um inquérito quantitativo e de campo para dimensionar a possível percentagem de redução com a adoção gradual da solução. Os testes funcionais do protótipo identificaram com precisão 99% dos pacientes e a adição da realidade aumentada para análise de zonas críticas revelou-se um módulo muito útil. Conclui-se que, como um novo método de identificação do paciente, a aplicação pode dar uma contribuição valiosa na redução de eventos adversos causados por identificação errada. Os resultados dos testes permitem concluir que a aplicação é funcional, reduz o custo de verificação do paciente, aumenta a segurança do paciente e está pronta para ir à fase de testes de usabilidade em ambiente hospitalar.
The verification and identification of the patient by a unique ID is an important procedure for medical care. There is a risk of the patient not being correctly identified (misidentified) during this process and, when this occurs, it can result in a serious damage. The World Health Organization reported that in 2019, 4 out of 10 patients suffered damage when receiving medical care, totaling 134 million adverse events, of which 2.68 million (2%) resulted in death. Given that the wristband / tag identification methods do not appear to be sufficient, the use of a facial recognition application may contribute to reduce the numbers presented. The aim of this study was to design, develop and evaluate a mobile health application for patients identification using facial recognition and augmented reality technologies that in a future moment can contribute to reduce the number of adverse events with patients and, consequently, the deaths caused by them. In this application, facial recognition technology for patient verification provides an accurate method of identification that, with the support of augmented reality technology, enables a module to make easy the patient's critical zones analysis. As a method of evaluation, a quantitative and field survey was carried out to measure the possible percentage of reduction with the gradual adoption of the solution. The functional tests of the prototype accurately identified 99% for all patients, and the addition of augmented reality for patient’s critical zones analysis proved to be a helpful module. It is concluded that, as a new method of patient identification, the application can bring a valuable contribution in reducing adverse events caused by misidentification. The results of the tests grant to conclude that the application is functional, reduces the cost of patient verification, increases patient safety and is ready to go to the field-testing phase in the hospital environment.
The verification and identification of the patient by a unique ID is an important procedure for medical care. There is a risk of the patient not being correctly identified (misidentified) during this process and, when this occurs, it can result in a serious damage. The World Health Organization reported that in 2019, 4 out of 10 patients suffered damage when receiving medical care, totaling 134 million adverse events, of which 2.68 million (2%) resulted in death. Given that the wristband / tag identification methods do not appear to be sufficient, the use of a facial recognition application may contribute to reduce the numbers presented. The aim of this study was to design, develop and evaluate a mobile health application for patients identification using facial recognition and augmented reality technologies that in a future moment can contribute to reduce the number of adverse events with patients and, consequently, the deaths caused by them. In this application, facial recognition technology for patient verification provides an accurate method of identification that, with the support of augmented reality technology, enables a module to make easy the patient's critical zones analysis. As a method of evaluation, a quantitative and field survey was carried out to measure the possible percentage of reduction with the gradual adoption of the solution. The functional tests of the prototype accurately identified 99% for all patients, and the addition of augmented reality for patient’s critical zones analysis proved to be a helpful module. It is concluded that, as a new method of patient identification, the application can bring a valuable contribution in reducing adverse events caused by misidentification. The results of the tests grant to conclude that the application is functional, reduces the cost of patient verification, increases patient safety and is ready to go to the field-testing phase in the hospital environment.
Description
Keywords
Identificação Errada Segurança do Paciente Reconhecimento Facial Realidade Aumentada Eventos Adversos Aplicação Móvel Misidentification Patient Safety Facial Recognition Augmented Reality Adverse Events Mobile Application