Relationship Between Medical Personnels' Technical Behavior Attributes and Evaluation of Information Integration of Public Health Service Platform

Author:

Wu Zijian1,Trigo Virginia2,Zhang Manli3ORCID

Affiliation:

1. Affiliated Cancer Hospital and institute of Guangzhou Medical University

2. ISCTE-University Institute of Lisbon: ISCTE-Instituto Universitario de Lisboa

3. Affiliated Stomatology hospital of Guangzhou Medical Universtity

Abstract

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.

Publisher

Research Square Platform LLC

Reference34 articles.

1. Design of cross-regional medical information sharing and service collaboration platform based on "Internet +";Mingyue W;Health Resources in China,2021

2. Path selection of Guangdong medical service mode under mobile Internet;Juan Z;Chin Digit Med,2016

3. Construction of medical service innovation mode based on mobile Internet;Ziping L;Chin J Health Inform Manage,2016

4. Assessing the Quality of Service Using Big Data Analytics;Batarseh FA;Big Data Research,2016

5. Impact of information system integration on the healthcare management and medical services;Wu Z;International Journal of Healthcare Management,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3