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CC BY 4.0 · Appl Clin Inform 2025; 16(05): 1749-1760
DOI: 10.1055/a-2723-6679
Research Article

Development and Evaluation of an Integrated Nutritional Health Care Information System

Authors

  • Yuner Chen

    1   Information and Data Centre, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
    2   Information and Data Centre, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, China

  • Mu Li

    3   Department of Information, Nanfang Hospital, Southern Medical University, Guangzhou, China

  • Weijie Xie

    1   Information and Data Centre, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
    2   Information and Data Centre, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, China

  • Xiuxia Feng

    1   Information and Data Centre, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
    2   Information and Data Centre, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, China

  • Huishu Tian

    1   Information and Data Centre, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
    2   Information and Data Centre, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, China

  • Wenhui Wang

    1   Information and Data Centre, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
    2   Information and Data Centre, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, China

Funding This work was supported by Guangzhou Science, Technology and Innovation Commission (CN; grant number: SL2024A03J01251).
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Abstract

Background

Malnutrition remains a critical global health challenge among hospitalized patients, necessitating effective nutrition support systems.

Objectives

This study aims to construct and evaluate a cross-professional, cross-sectoral nutrition health care information system (CPCS-NHIS) to optimize clinical nutrition management.

Methods

The system integrates modified medical systems to unify information flows, knowledge, and clinical roles. In addition, a 20-item across six dimensions electronic questionnaire based on the revised DeLone and McLean IS Success model was developed to evaluate the success of the CSCP-NHIS. Besides, user satisfaction was assessed as a key dimension using a 5-point Likert's scale (1 = strongly disagree to 5 = strongly agree). Finally, the results of the questionnaire were further validated by reliability and validity analysis.

Results

The CPCS-NHIS features comprehensive functions including bedside nutritional screening, assessment, intervention, diagnosis, monitoring, enteral nutrition prescription, and QR-code autopayment. Over 80% of users expressed willingness to continue using and recommending the system. The questionnaire results demonstrated strong psychometric properties: all Cronbach's α coefficients >0.80, confirmed reliability; confirmatory factor analysis showed convergent validity (the average variance extracted >0.50, construct reliability >0.80); and model fit indices were excellent, with a chi-square value of 1.86, a root mean squared error of approximation of 0.09, a root mean square residual of 0.02, and a comparative fit index of 0.9.

Conclusion

The CPCS-NHIS provides a practical framework for existing nutritional health care information systems, based on the nutrition care process and model, with robust psychometric evidence and high user acceptance.

Keywords

nutritional health care information system - revised DeLone and McLean IS success model - reliability and validity - nutritional diagnosis and treatment - cross-professional and cross-sectoral model

Protection of Human and Animal Subjects

This study was determined to be exempt research by the Ethics Committee of Guangzhou First People's Hospital.


Supplementary Material



Publication History

Received: 13 January 2025

Accepted: 12 October 2025

Article published online:
20 November 2025

© 2025. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

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