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How AI has been impacting the healthcare sector
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Resumo(s)
A Inteligência Artificial é uma tecnologia em expansão em todos os setores da sociedade. No setor da saúde tem sido apresentada como uma solução inovadora para fazer frente aos principais desafios que afetam os sistemas de saúde a nível global. Deste modo, para compreender os seus impactos na área da saúde, é necessário perceber não só quais as áreas que poderão beneficiar com a utilização desta tecnologia, mas também perceber de que forma os profissionais de saúde percecionam a importância de integrar IA na sua prática profissional. Neste sentido, foi realizada uma investigação primária, que identificou através da revisão da literatura, que neste momento, as áreas predominantes onde estas ferramentas estão presentes são nas áreas do diagnóstico e da administração. Contudo, e tendo por base os autores consultados, foram ainda estudadas as vantagens e desafios decorrentes da adoção de IA. O questionário desenvolvido, exclusivamente para profissionais e estudantes da área da saúde, teve como objetivo investigar as perceções dos mesmos sobre as vantagens, desvantagens e desafios associados à implementação de ferramentas de IA. Concretamente, aferiu-se de que forma as variáveis Treino e Confiança contribuem para melhorar perceção sobre precisão de diagnóstico e eficiência administrativa, e ao mesmo tempo perceber como esta última, poderá ser responsável pela redução da carga de trabalho e satisfação geral do paciente. O estudo contou com uma amostra de 111 respostas e foi realizado numa abordagem quantitativa, utilizando o software estatístico SPSS (Statistical Package for Social Science). A análise dos resultados, indica que a adoção desta tecnologia está associada não só a uma maior precisão diagnóstica, mas também a uma maior eficiência administrativa, o que consequentemente gera uma satisfação geral nos utentes e poderá contribuir para a redução da carga de trabalho dos profissionais. No entanto, barreiras como a segurança dos dados, preocupações éticas e resistência dos profissionais, que estão normalmente associadas à falta de formação, continuam a ser desafios significativos que condicionam a adoção plena desta tecnologia.
Artificial Intelligence is an expanding technology across all sectors of society. In the healthcare sector, it has been presented as an innovative solution to face the main challenges affecting health systems on a global scale. In this way, to understand its impact in the healthcare field, it is necessary to identify not only the areas that could benefit from the use of this technology but also to understand how healthcare professionals perceive the importance of integrating AI into their professional practice. To this end, a primary investigation was carried out, which identified through the literature review that, at the moment, the main areas where these tools are applied are diagnoses and administration. However, based on the authors consulted, were also studied the advantages and challenges arising from the adoption of AI. The questionnaire was exclusively developed for professionals and students in the healthcare field, in order to investigate their perceptions regarding the advantages, disadvantages, and challenges associated with the implementation of AI tools. Specifically, it assessed how the variables Training and Confidence contribute to improve the professionals’ perceptions about diagnostic accuracy and administrative efficiency, while also exploring how the last one may be responsible for reducing workload and enhancing overall patient satisfaction. This study gathered a sample of 111 responses and was conducted using a quantitative approach, using the statistical software SPSS (Statistical Package for Social Science). The key findings of this study indicate that the adoption of this technology is associated not only with greater diagnostic accuracy but also with greater administrative efficiency, which consequently leads to overall patient satisfaction and may contribute to the reduction of professional’s workload. However, barriers such as data security, ethical concerns, and professionals’ resistance, normally associated with lack of training, remain significant challenges to the full adoption of this technology.
Artificial Intelligence is an expanding technology across all sectors of society. In the healthcare sector, it has been presented as an innovative solution to face the main challenges affecting health systems on a global scale. In this way, to understand its impact in the healthcare field, it is necessary to identify not only the areas that could benefit from the use of this technology but also to understand how healthcare professionals perceive the importance of integrating AI into their professional practice. To this end, a primary investigation was carried out, which identified through the literature review that, at the moment, the main areas where these tools are applied are diagnoses and administration. However, based on the authors consulted, were also studied the advantages and challenges arising from the adoption of AI. The questionnaire was exclusively developed for professionals and students in the healthcare field, in order to investigate their perceptions regarding the advantages, disadvantages, and challenges associated with the implementation of AI tools. Specifically, it assessed how the variables Training and Confidence contribute to improve the professionals’ perceptions about diagnostic accuracy and administrative efficiency, while also exploring how the last one may be responsible for reducing workload and enhancing overall patient satisfaction. This study gathered a sample of 111 responses and was conducted using a quantitative approach, using the statistical software SPSS (Statistical Package for Social Science). The key findings of this study indicate that the adoption of this technology is associated not only with greater diagnostic accuracy but also with greater administrative efficiency, which consequently leads to overall patient satisfaction and may contribute to the reduction of professional’s workload. However, barriers such as data security, ethical concerns, and professionals’ resistance, normally associated with lack of training, remain significant challenges to the full adoption of this technology.
Descrição
Trabalho Final de Mestrado, Management Information Systems, ISEG, 2025.
Palavras-chave
Artificial Intelligence Healthcare Diagnoses Accuracy Administrative Efficiency Training Confidence Workload Patients Experience Inteligência Artificial Setor da Saúde Precisão dos Diagnósticos Eficiência Administrativa Treino Confiança Carga de Trabalho Experiência do Utente