Your browser doesn't support javascript.
loading
Assessing the utility of artificial intelligence throughout the triage outpatients: a prospective randomized controlled clinical study.
Liu, Xiaoni; Lai, Rui; Wu, Chaoling; Yan, Changjian; Gan, Zhe; Yang, Yaru; Zeng, Xiangtai; Liu, Jin; Liao, Liangliang; Lin, Yuansheng; Jing, Hongmei; Zhang, Weilong.
Afiliação
  • Liu X; Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing, China.
  • Lai R; Department of Respiratory Medicine, First Affiliated Hospital Gannan Medical University, Ganzhou, China.
  • Wu C; Department of Respiratory Medicine, The People's Hospital of Ruijin City, Ruijin, China.
  • Yan C; Department of Respiratory Medicine, Affiliated Hospital of Jiujiang University, Jiujiang, China.
  • Gan Z; The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
  • Yang Y; Gannan Medical University, Ganzhou, China.
  • Zeng X; Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing, China.
  • Liu J; Department of Thyroid and Hernia Surgery, First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China.
  • Liao L; Department of Respiratory Medicine, Longnan First People's Hospital, Longnan, China.
  • Lin Y; Department of Respiratory Medicine, Longnan First People's Hospital, Longnan, China.
  • Jing H; Department of Emergency and Critical Care Medicine, Suzhou Hospital, Affiliated Hospital of Medical School, Nanjing University, Suzhou, China.
  • Zhang W; Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing, China.
Front Public Health ; 12: 1391906, 2024.
Article em En | MEDLINE | ID: mdl-38873307
ABSTRACT
Currently, there are still many patients who require outpatient triage assistance. ChatGPT, a natural language processing tool powered by artificial intelligence technology, is increasingly utilized in medicine. To facilitate and expedite patients' navigation to the appropriate department, we conducted an outpatient triage evaluation of ChatGPT. For this evaluation, we posed 30 highly representative and common outpatient questions to ChatGPT and scored its responses using a panel of five experienced doctors. The consistency of manual triage and ChatGPT triage was assessed by five experienced doctors, and statistical analysis was performed using the Chi-square test. The expert ratings of ChatGPT's answers to these 30 frequently asked questions revealed 17 responses earning very high scores (10 and 9.5 points), 7 earning high scores (9 points), and 6 receiving low scores (8 and 7 points). Additionally, we conducted a prospective cohort study in which 45 patients completed forms detailing gender, age, and symptoms. Triage was then performed by outpatient triage staff and ChatGPT. Among the 45 patients, we found a high level of agreement between manual triage and ChatGPT triage (consistency 93.3-100%, p<0.0001). We were pleasantly surprised to observe that ChatGPT's responses were highly professional, comprehensive, and humanized. This innovation can help patients win more treatment time, improve patient diagnosis and cure rates, and alleviate the pressure of medical staff shortage.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pacientes Ambulatoriais / Inteligência Artificial / Triagem Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pacientes Ambulatoriais / Inteligência Artificial / Triagem Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2024 Tipo de documento: Article