主管:国家卫生健康委员会
主办:国家卫生计生委医院管理研究所
中国科学引文数据库(CSCD)来源期刊
中国科技论文统计源期刊 中国科技核心期刊
《中文核心期刊要目总览》入选期刊

Chinese Nursing Management ›› 2024, Vol. 24 ›› Issue (2): 256-260.doi: 10.3969/j.issn.1672-1756.2024.02.018

• Digital Intelligence in Nursing • Previous Articles     Next Articles

Construction and application of acute pain intelligent management platform for inpatients

YANG Lina, KONG Yiru, YOU Shuqiu   

  1. Nursing Department, The First People's Hospital of Yinchuan, Yinchuan, 750001, China
  • Online:2024-02-15 Published:2024-02-15

Abstract: Objective: To construct an acute pain intelligent management platform for inpatients based on Clinical Care Classification (CCC) System and evaluate its application effect, and to provide references for improving the quality of pain management for inpatients. Methods: Based on the knowledge base and coding database of the Chinese version of CCC 2.5, an intelligent acute pain management platform for inpatients was developed, including intelligent recommendation of assessment tools, early warning of high scores, scheduling of nursing tasks, automatic triggering of individualized nursing diagnosis and nursing measures, etc, and was put into trial operation in April 2022. The pain management indicators and satisfaction score were compared before and after the launch of platform. Results: After using the platform, the coverage rate of the first pain assessment, the rate of dynamic pain assessment and the rate of timely pain management for inpatients were all higher than before (P<0.05). Nurses' satisfaction with information system and patients' satisfaction with pain management also were higher than before (P<0.05). Conclusion: The application of acute pain intelligent management platform for inpatients based on CCC System is helpful to improve the pain management effects, patients' satisfaction and nurses' work efficiency, and this platform is with great clinical promotion value.

Key words: acute pain; hospitalized patients; Clinical Care Classification System; intelligent platform

CLC Number: R47;R197;R441.1