收藏切换
Application of artificial intelligence telephone follow-up in patient management for intravitreal injection
收藏切换
Chunxiu QIN, Zhanhe ZHANG, Qi QI, Mingxuan ZHANG, Yingxiang ZHAO, Kanghuai GUO, Qinru ZHANG, Hua LIU, Xinjun REN
Chinese Nursing Research | 2026, 40(18) : 3258 - 3263
Less
收藏切换
Chinese Nursing Research | 2026, 40(18): 3258-3263
• Comprehensive Study •
Application of artificial intelligence telephone follow-up in patient management for intravitreal injection
Full
Chunxiu QIN, Zhanhe ZHANG, Qi QI, Mingxuan ZHANG, Yingxiang ZHAO, Kanghuai GUO, Qinru ZHANG, Hua LIU, Xinjun REN
Affiliations
  • 1Tianjin Medical University Eye Hospital, Eye Institute and School of Optometry/Tianjin Branch of National Clinical Research Center for Ocular Disease/Tianjin Key Laboratory of Retinal Functions and Diseases, Tianjin 300384 China
Published: 2026-09-25 doi: 10.12102/j.issn.1009-6493.2026.18.016
Outline
收藏切换
Objective

To explore the application effect of artificial intelligence(AI) telephone follow-up in patient management for intravitreal injection.

Methods

A total of 1 000 patients who underwent intravitreal injection at the intravitreal injection center of Tianjin Medical University Eye Hospital from January to June 2025 were selected as the study subjects.The patients were divided into an AI telephone follow-up group and a manual telephone follow-up group using a random number table method,with 500 cases each.In the manual telephone follow-up group,follow-up calls were conducted by nurses.In the AI telephone follow-up group,an AI telephone follow-up system developed by the research team was used for follow-up.The two groups were compared in terms of call success rate,effective connection rate,information collection rate,complete information collection rate,and patient follow-up satisfaction,and the average call duration was also calculated.

Results

The average call duration was 146 seconds in the AI telephone follow-up group and 79 seconds in the manual telephone follow-up group.The call success rate in the AI telephone follow-up group was 79.20%,which was higher than that in the manual telephone follow-up group (71.40%).However,the effective connection rate(79.80%),information collection rate(76.58%), complete information collection rate(59.50%),and patient follow-up satisfaction(92.4%) in the AI telephone follow-up group were all lower than those in the manual telephone follow-up group (effective connection rate was 99.72%,information collection rate was 92.98%,complete information collection rate was 92.15%,patient follow-up satisfaction was 100.0%).

Conclusions

The application of AI telephone follow-up in patients undergoing intravitreal injection could improve call success rate,but it has limitations in terms of interaction quality,information completeness,and call duration control.In the future,AI telephone follow-up could be used as an auxiliary tool for manual follow-up to comprehensively improve the efficiency and digital level of nursing follow-up.

artificial intelligence  /  telephone follow-up  /  intravitreal injection  /  nursing workload  /  satisfaction
秦春秀, 张展赫, 祁祺, 张明轩, 赵映翔, 郭康怀, 张沁茹, 刘华, 任新军. 人工智能电话随访在玻璃体腔注药术病人管理中的应用. 护理研究, 2026 , 40 (18) : 3258 -3263 . DOI: 10.12102/j.issn.1009-6493.2026.18.016
Chunxiu QIN, Zhanhe ZHANG, Qi QI, Mingxuan ZHANG, Yingxiang ZHAO, Kanghuai GUO, Qinru ZHANG, Hua LIU, Xinjun REN. Application of artificial intelligence telephone follow-up in patient management for intravitreal injection[J]. Chinese Nursing Research, 2026 , 40 (18) : 3258 -3263 . DOI: 10.12102/j.issn.1009-6493.2026.18.016
Year 2026 volume 40 Issue 18
64
24
Cite this Article
BibTeX
Article Info
doi: 10.12102/j.issn.1009-6493.2026.18.016
  • Receive Date:2025-12-08
  • Online Date:2026-10-29
  • Published:2026-09-25
Article Data
Affiliations
History
  • Received:2025-12-08
  • Revised:2026-08-10
Affiliations
    1Tianjin Medical University Eye Hospital, Eye Institute and School of Optometry/Tianjin Branch of National Clinical Research Center for Ocular Disease/Tianjin Key Laboratory of Retinal Functions and Diseases, Tianjin 300384 China
References
Share
https://castjournals.cast.org.cn/joweb/hlyj/EN/10.12102/j.issn.1009-6493.2026.18.016
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT