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Telephone follow‐up based on artificial intelligence technology among hypertension patients: Reliability study

Authors :
Siyuan Wang
Yan Shi
Mengyun Sui
Jing Shen
Chen Chen
Lin Zhang
Xin Zhang
Dongsheng Ren
Yuheng Wang
Qinping Yang
Junling Gao
Minna Cheng
Source :
The Journal of Clinical Hypertension, Vol 26, Iss 6, Pp 656-664 (2024)
Publication Year :
2024
Publisher :
Wiley, 2024.

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

Details

Language :
English
ISSN :
17517176 and 15246175
Volume :
26
Issue :
6
Database :
Directory of Open Access Journals
Journal :
The Journal of Clinical Hypertension
Publication Type :
Academic Journal
Accession number :
edsdoj.5258b490472e4d8bb301e0c05fe75eb2
Document Type :
article
Full Text :
https://doi.org/10.1111/jch.14823