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Journal of Nursing ›› 2022, Vol. 29 ›› Issue (19): 20-24.doi: 10.16460/j.issn1008-9969.2022.19.020

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Construction and Application of Clinical Care Data Collection System of Infectious Diseases Based on AI-powered Speech

HOU Xu-na1a, SUI Wei-yu1a, HAN Feng-ping2, ZHU Jie-hong1a, ZHAO Hai-qin3, WANG Jing1b, LI Qi-hong1c, LU Peng-zhang1d   

  1. 1a. Dept. of Nursing Administration; 1b. Dept. of Hepatology; 1c. Dept. of Infectious Disease; 1d. Information Center, Qishan Hospital, Yantai 264000, China;
    2. Teaching and Research Office of Basic Courses, School of Nursing, Peking University, Beijing 100191, China;
    3. Dept. of Integrated Traditional Chinese Medicine and Western Medicine, Unit I, Beijing Ditan Hospital Affiliated to Capital Medical University, Beijing 100015, China
  • Received:2022-05-05 Published:2022-11-08

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Abstract: Objective To construct an AI-powered speech-based clinical nursing data collection system for infectious diseases and evaluate its application effect. Methods With AI-powered speech-to-text transcription as the core design idea, a clinical nursing data collection system was constructed with AI speech knowledge base module at the nursing end, interfacing and integration module of AI speech system with hospital information system (HIS), content interpretation and real-time structured processing module for temperature sheets and critical care record sheets, simultaneous submission module for multiple forms in one dictation, and real-time data quality control module. The system was run in a tertiary specialized hospital for infectious diseases from May 2020 to October 2021 to compare the quality indicators of nursing document writing, time spent on inpatient vital sign data entry into HIS, and nurses' using experience of the system. Results Compared with traditional data collection method, AI-powered speech-based clinical nursing data collection system for infectious diseases helped to significantly improve the quality of nursing document writing and the difference was statistically significant (P<0.001). There was statistically significant difference in the timeliness of completing and uploading initial vital sign collection for newly admitted patients before and after the use of the system (χ2=74.02, P<0.001). The time taken for inpatient vital sign data entry into HIS was significantly shorter (t=19.115, P<0.01). Nurses were satisfied with the system in the dimensions of training quality, service quality, information quality, and willingness to use. Conclusion The combination of AI-powered speech-based clinical nursing data collection system for infectious diseases with nursing document writing improves the completeness, timeliness of nursing records writing, and nurses have a generally good experience with the system.

Key words: AI-powered speech, artificial intelligence, infectious disease, clinical care data collection system

CLC Number: 

  • R47
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