1. Telephone follow‐up based on artificial intelligence technology among hypertension patients: Reliability study
- Author
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Siyuan Wang, Yan Shi, Mengyun Sui, Jing Shen, Chen Chen, Lin Zhang, Xin Zhang, Dongsheng Ren, Yuheng Wang, Qinping Yang, Junling Gao, and Minna Cheng
- Subjects
artificial Intelligence ,hypertension ,reliability ,speech recognition ,telephone follow‐up ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
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
- Published
- 2024
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