Proceedings of the 2024 5th International Conference on Big Data and Social Sciences (ICBDSS 2024)

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Relationship between Medical Personnels’ Technical Behavior Attributes and Evaluation of Information Integration of Public Health Service Platform

Authors
Zijian Wu1, Virginia Trigo2, Manli Zhang3, *
1Clinical Research Management Department, Guangzhou Institute of Cancer Research, the Affiliated Cancer Hospital, Guangzhou Medical University, Yuexiu District, No.78, Hengzhigang Road, Guangzhou, 510095, China
2ISCTE Business School, BRU-IUL, University Institute of Lisbon, Avenida das ForçasArmadas, Lisbon, 1649-026, Portugal
3Hospital Office, Affiliated Stomatological Hospital of Guangzhou Medical University, Yuexiu District, No.195, Dongfengxi Road, Guangzhou, 510140, China
*Corresponding author. Email: zhangmanli@gzhmu.edu.cn
Corresponding Author
Manli Zhang
Available Online 13 November 2024.
DOI
10.2991/978-94-6463-562-1_28How to use a DOI?
Keywords
Regional public health Service; information integration; personnels’ technical behavior Attributes; PIIT; Technology Characteristics Perception
Abstract
Background

The medical service cooperation model based on the regional public health information platform constructed with intelligent computing technology, thanks to the realization of information integration, promotes the sharing of cross-regional medical resources and business cooperation. In addition, through the intelligent calculation and analysis technology of integrated data, more accurate, specific, scientific and timely medical services can be offered to regional residents. Relevant studies have shown that differences in user personality attributes will affect user technology adoption and application behavior. Purpose: To explore whether Personal Innovativeness In Technology (PIIT) and Technology Characteristics Perception (TCP) affect individual cognition and evaluation of innovative technology. Method: This study selected doctors from hospitals in Guangdong Province that have established regional medical data platforms as the survey respondents. A total of 220 questionnaires were distributed to evaluate their PIIT and TCP levels and understand their cognition and evaluation of information integration. Results: Both PIIT and TCP play a positive affection on public health information integration.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 5th International Conference on Big Data and Social Sciences (ICBDSS 2024)
Series
Advances in Computer Science Research
Publication Date
13 November 2024
ISBN
978-94-6463-562-1
ISSN
2352-538X
DOI
10.2991/978-94-6463-562-1_28How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Zijian Wu
AU  - Virginia Trigo
AU  - Manli Zhang
PY  - 2024
DA  - 2024/11/13
TI  - Relationship between Medical Personnels’ Technical Behavior Attributes and Evaluation of Information Integration of Public Health Service Platform
BT  - Proceedings of the 2024 5th International Conference on Big Data and Social Sciences (ICBDSS 2024)
PB  - Atlantis Press
SP  - 294
EP  - 307
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-562-1_28
DO  - 10.2991/978-94-6463-562-1_28
ID  - Wu2024
ER  -