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

医学 一致性(知识库) 饮酒量 可靠性(半导体) 物理疗法 计算机科学 人工智能 生物化学 量子力学 物理 功率(物理) 化学
作者
S Wang,Shi‐Ping Yan,Mengyun Sui,Jing Shen,Chen Chen,Lin Zhang,Xin Zhang,Dongsheng Ren,Yuheng Wang,Qing Yang,Junling Gao,Minna Cheng
出处
期刊:Journal of Clinical Hypertension [Wiley]
标识
DOI:10.1111/jch.14823
摘要

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).
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
木森ab发布了新的文献求助10
刚刚
1秒前
1秒前
us发布了新的文献求助10
2秒前
外向电脑完成签到,获得积分10
2秒前
fireking_sid发布了新的文献求助20
3秒前
3秒前
无奈秋荷发布了新的文献求助10
4秒前
仁爱的尔蓝完成签到,获得积分10
4秒前
5秒前
柚仝发布了新的文献求助10
5秒前
乐乐应助like1994采纳,获得10
5秒前
乐乐应助何为采纳,获得10
6秒前
6秒前
Felice完成签到,获得积分10
8秒前
8秒前
8秒前
ggggglllll发布了新的文献求助10
8秒前
junxi发布了新的文献求助10
9秒前
9秒前
月光完成签到 ,获得积分10
10秒前
10秒前
10秒前
11秒前
Newt应助陈彦滨采纳,获得10
11秒前
liu发布了新的文献求助30
11秒前
1619汤姆完成签到,获得积分10
12秒前
宁宁发布了新的文献求助10
13秒前
14秒前
14秒前
ganjqly应助小小月采纳,获得20
14秒前
都不咋看发布了新的文献求助10
14秒前
14秒前
ableyy发布了新的文献求助10
15秒前
SciGPT应助是一个小朋友采纳,获得10
15秒前
无花果应助缥缈傥采纳,获得10
15秒前
15秒前
斯文败类应助Muncy采纳,获得10
16秒前
hahaaa发布了新的文献求助20
16秒前
坚果发布了新的文献求助10
17秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Picture Books with Same-sex Parented Families: Unintentional Censorship 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 360
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3971277
求助须知:如何正确求助?哪些是违规求助? 3516009
关于积分的说明 11180382
捐赠科研通 3251075
什么是DOI,文献DOI怎么找? 1795664
邀请新用户注册赠送积分活动 875988
科研通“疑难数据库(出版商)”最低求助积分说明 805209