Construction and application of an intelligent interactive discharge follow-up platform/
10.3761/j.issn.0254-1769.2024.15.003
- VernacularTitle:智能交互出院随访平台的构建与应用研究
- Author:
Wenping MAO
1
;
Jinkai LUO
;
Lihua WANG
;
Jie ZHANG
;
Haiyan REN
Author Information
1. 100050 北京市 首都医科大学附属北京友谊医院护理部
- Keywords:
"Robot+"Application;
Human-Robot Intelligent Interaction;
Discharge Follow-Up;
Nursing Care
- From:
Chinese Journal of Nursing
2024;59(15):1812-1817
- CountryChina
- Language:Chinese
-
Abstract:
Objective To build an intelligent interactive discharge follow-up platform,and to explore its applica-tion effect in the management of discharge follow-up.Methods A research team was established to construct the intelligent interactive discharge follow-up platform,which includes 3 modules,namely follow-up plan customization module,follow-up execution module,and information backup and statistical analysis module.The discharge follow-up data of branch A and B of a tertiary hospital in Beijing from January to December 2022 were selected.Patients in branch A were given manual telephone follow-up by nurses,and patients in branch B were applied by the intelli-gent interactive discharge follow-up platform,and the follow-up efficiency of the 2 branches was compared.100 cas-es of discharged patients in each of 2 hospital branches were randomly selected as research subjects,and the fol-low-up time and nursing manpower of 2 groups were compared.Results The follow-up rate and effective follow-up rate of branch A were 99.96％and 95.10％,while those of branch B were 99.84％and 99.66％,respectively,and the difference was statistically significant(x2=19.028,2 081.008,P＜0.001).The opinion collection rate of branch A was 0.47％,which was higher than that of the branch B(0.01％)(x2=249.365,P＜0.001).The time and nursing man-power spent on follow-up was even less.Conclusion The intelligent interaction discharge follow-up platform real-izes human-robot multi-party intelligent interaction,which can release nursing manpower and time,improve the fol-low-up rate of discharged patients.
