A Framework for Big Data Governance to Advance RHINs: A Case Study of China
The emergence of big data presents a serious challenge to the fast growth of regional health information networks (RHINs) globally. In China, many constructors of RHINs have spontaneously and independently created governance measures, which may be valuable as a point of reference for other countries...
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IEEE
2019-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/8689011/ |
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author | Quan Li Lan Lan Nianyin Zeng Lei You Jin Yin Xiaobo Zhou Qun Meng |
author_facet | Quan Li Lan Lan Nianyin Zeng Lei You Jin Yin Xiaobo Zhou Qun Meng |
author_sort | Quan Li |
collection | DOAJ |
description | The emergence of big data presents a serious challenge to the fast growth of regional health information networks (RHINs) globally. In China, many constructors of RHINs have spontaneously and independently created governance measures, which may be valuable as a point of reference for other countries. This paper aimed to propose a big data governance framework for healthcare data based on the governance activities associated with the processing of RHINs in China. Typical methodology for RHIN case studies in China, including rich personal experience in nationwide consulting, literature review, expert consultation, and interpretative structural modeling methods, was adopted. Based on the analysis of ten typical RHIN case studies, healthcare big data governance practices in China were summarized. A framework with 3 domains and 12 elements was proposed, which include a drive domain (big data strategy planning, laws and regulations, open transaction, and industry support), capability domain (healthcare big data organization, collection, storage, process and analysis, and usage), and support domain (healthcare big data resource planning, standards system, and privacy and security protection). We obtained 12 guidelines for healthcare big data governance. A big data governance framework with 3 domains and 12 elements was presented based on Chinese practice, which might serve as valuable references for the cross-dimensional development of RHINs, provide overall guidance for the sustainable development of regional health informatization, and contribute to realizing the business value of healthcare big data. |
first_indexed | 2024-12-14T15:09:10Z |
format | Article |
id | doaj.art-c478ed696c20400e91c7700e39474e83 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-14T15:09:10Z |
publishDate | 2019-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-c478ed696c20400e91c7700e39474e832022-12-21T22:56:37ZengIEEEIEEE Access2169-35362019-01-017503305033810.1109/ACCESS.2019.29108388689011A Framework for Big Data Governance to Advance RHINs: A Case Study of ChinaQuan Li0https://orcid.org/0000-0003-1866-3622Lan Lan1Nianyin Zeng2https://orcid.org/0000-0002-6957-2942Lei You3Jin Yin4Xiaobo Zhou5Qun Meng6School of Public Health, Sun Yat-sen University, Guangzhou, ChinaWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, ChinaDepartment of Instrumental and Electrical Engineering, Xiamen University, Xiamen, ChinaSchool of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USAWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, ChinaWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, ChinaSchool of Public Health, Sun Yat-sen University, Guangzhou, ChinaThe emergence of big data presents a serious challenge to the fast growth of regional health information networks (RHINs) globally. In China, many constructors of RHINs have spontaneously and independently created governance measures, which may be valuable as a point of reference for other countries. This paper aimed to propose a big data governance framework for healthcare data based on the governance activities associated with the processing of RHINs in China. Typical methodology for RHIN case studies in China, including rich personal experience in nationwide consulting, literature review, expert consultation, and interpretative structural modeling methods, was adopted. Based on the analysis of ten typical RHIN case studies, healthcare big data governance practices in China were summarized. A framework with 3 domains and 12 elements was proposed, which include a drive domain (big data strategy planning, laws and regulations, open transaction, and industry support), capability domain (healthcare big data organization, collection, storage, process and analysis, and usage), and support domain (healthcare big data resource planning, standards system, and privacy and security protection). We obtained 12 guidelines for healthcare big data governance. A big data governance framework with 3 domains and 12 elements was presented based on Chinese practice, which might serve as valuable references for the cross-dimensional development of RHINs, provide overall guidance for the sustainable development of regional health informatization, and contribute to realizing the business value of healthcare big data.https://ieeexplore.ieee.org/document/8689011/Big data governanceframeworkregional health information networks (RHINs) |
spellingShingle | Quan Li Lan Lan Nianyin Zeng Lei You Jin Yin Xiaobo Zhou Qun Meng A Framework for Big Data Governance to Advance RHINs: A Case Study of China IEEE Access Big data governance framework regional health information networks (RHINs) |
title | A Framework for Big Data Governance to Advance RHINs: A Case Study of China |
title_full | A Framework for Big Data Governance to Advance RHINs: A Case Study of China |
title_fullStr | A Framework for Big Data Governance to Advance RHINs: A Case Study of China |
title_full_unstemmed | A Framework for Big Data Governance to Advance RHINs: A Case Study of China |
title_short | A Framework for Big Data Governance to Advance RHINs: A Case Study of China |
title_sort | framework for big data governance to advance rhins a case study of china |
topic | Big data governance framework regional health information networks (RHINs) |
url | https://ieeexplore.ieee.org/document/8689011/ |
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