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Telephone follow-up based on artificial intelligence technology among hypertension patients: Reliability study.
Wang, Siyuan; Shi, Yan; Sui, Mengyun; Shen, Jing; Chen, Chen; Zhang, Lin; Zhang, Xin; Ren, Dongsheng; Wang, Yuheng; Yang, Qinping; Gao, Junling; Cheng, Minna.
Afiliação
  • Wang S; Division of Chronic Non-communicable Disease and Injury, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
  • Shi Y; Division of Chronic Non-communicable Disease and Injury, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
  • Sui M; Division of Chronic Non-communicable Disease and Injury, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
  • Shen J; Product Department, Yicheng Information Technology Limited Corporation, Shanghai, China.
  • Chen C; Health Management Department, Pengpu Community Health Service Center, Shanghai, China.
  • Zhang L; Health Management Department, Pengpu Community Health Service Center, Shanghai, China.
  • Zhang X; Department of Chronic Non-communicable Diseases Surveillance and Management, Jingan District Center for Disease Control and Prevention, Shanghai, China.
  • Ren D; Department of Chronic Non-communicable Diseases Surveillance and Management, Jingan District Center for Disease Control and Prevention, Shanghai, China.
  • Wang Y; Division of Chronic Non-communicable Disease and Injury, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
  • Yang Q; Division of Chronic Non-communicable Disease and Injury, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
  • Gao J; Department of Prevention Medicine and Health Education, School of Public Health, Fudan University, Shanghai, China.
  • Cheng M; Division of Chronic Non-communicable Disease and Injury, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
J Clin Hypertens (Greenwich) ; 26(6): 656-664, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38778548
ABSTRACT
Artificial intelligence (AI) telephone is reliable for the follow-up and management of hypertensives. It takes less time and is equivalent to manual follow-up to a high degree. We conducted a reliability study to evaluate the efficiency of AI telephone follow-up in the management of hypertension. During May 18 and June 30, 2020, 350 hypertensives managed by the Pengpu Community Health Service Center in Shanghai were recruited for follow-up, once by AI and once by a human. The second follow-up was conducted within 3-7 days (mean 5.5 days). The mean length time of two calls were compared by paired t-test, and Cohen's Kappa coefficient was used to evaluate the reliability of the results between the two follow-up visits. The mean length time of AI calls was shorter (4.15 min) than that of manual calls (5.24 min, P < .001). The answers related to the symptoms showed moderate to substantial consistency (κ.465-.624, P < .001), and those related to the complications showed fair consistency (κ.349, P < .001). In terms of lifestyle, the answer related to smoking showed a very high consistency (κ.915, P < .001), while those addressing salt consumption, alcohol consumption, and exercise showed moderate to substantial consistency (κ.402-.645, P < .001). There was moderate consistency in regular usage of medication (κ.484, P < .001).
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Telefone / Inteligência Artificial / Hipertensão Limite: Adult / Aged / Female / Humans / Male / Middle aged País/Região como assunto: Asia Idioma: En Revista: J Clin Hypertens (Greenwich) Assunto da revista: ANGIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Telefone / Inteligência Artificial / Hipertensão Limite: Adult / Aged / Female / Humans / Male / Middle aged País/Região como assunto: Asia Idioma: En Revista: J Clin Hypertens (Greenwich) Assunto da revista: ANGIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China