Chinese biobanks: present and future

Liu, Cheng; Chen, Shi; Wang, Xian; Li, Qiyuan; Wan, Qian; Yan, Zhixiang; Zhang, Yong

doi:10.1017/s0016672313000190

Cited by 13 publications

(8 citation statements)

References 19 publications

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“…Unlike other industries, one of the major sources of "big data" that can be opened -the biobankis established and operated by hospitals and research institutes. As early as 1992, the Chinese Marrow Donor Program (CMDP) set up its first population-based blood biobank that contains about 1,650,000 specimens (Cheng et al, 2013). Then, in the early 21 st century, many different hospitals set up their disease-oriented biobanks to collect different specimen types, including tissue, RNA, DNA, cell, blood, and plasma (Li et al, 2004;Yang et al, 2012).…”

Section: Infrastructure Supported Open Data Healthcarementioning

confidence: 99%

“…Then, in the early 21 st century, many different hospitals set up their disease-oriented biobanks to collect different specimen types, including tissue, RNA, DNA, cell, blood, and plasma (Li et al, 2004;Yang et al, 2012). Unfortunately, no unified network infrastructure was applied across the country, and the specimen information could not be communicated and shared among different biobanks efficiently (Cheng et al, 2013). It was also recognized that the lack of an official unified-standard implementation method and procedure was the major obstacle to specimen information sharing, including clinical information, specimen information, and other derived data (Y.…”

Section: Infrastructure Supported Open Data Healthcarementioning

confidence: 99%

“…To summarize, there were three main exploration areas of the healthcare open data for the infrastructure context. The first group of research investigated the current development progress and characteristics of China's biobank over healthcare information management and communication (Cheng et al, 2013;Li et al, 2004;Wu et al, 2019;Yang et al, 2012;Zhang et al, 2015). The second group of articles looked at the digital "big data" databases, where the spectrum of the articles covers the Genome databases (Ling et al, 2014;Xu et al, 2018b;Zhang et al, 2018), disease-specific database (Jiang et al, 2019), and technology-specific database (Gao et al, 2020).…”

Section: Infrastructure Supported Open Data Healthcarementioning

confidence: 99%

See 2 more Smart Citations

Creating an Open Data City for Healthcare: A Critical Review of Data Management Strategy and Development in China

Fang

Chen

et al. 2023

J. Manage. Eng.

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The unexpected increased cases of COVID-19 pressured the healthcare system to be exposed to unprecedented challenges, where healthcare management is a complex but essential process to manage and coordinate all information and resources. Critical problems are emerging in this new routine and demanding a higher efficiency of medical data sharing. It is becoming emergent to improve the performances of city systems and create an open data city for reliable information and data sharing (e.g., medical and testing) for better public awareness and healthcare services. This research aims to critically review past efforts in open data city for healthcare from the perspective of data management strategy and development. China was selected as a representative due to its fast development in healthcare infrastructure and medical big data, where 79 out of 4,611 articles have been selected, reviewed, and analyzed. A mixed-method approach has been implemented to review and assess the existing efforts of open data city for healthcare through latitudinal and longitudinal analyses from five aspects based on socio-technical systems: technology, people, infrastructure, processes, and culture. The gaps, missions, and challenges of developing an open data city for healthcare have also been summarised, and an open data city healthcare reinforcement 2 framework has been proposed accordingly. This research contributes a new multi-dimensional way to rethink the development of open data city in healthcare and helps establish the state-of-the-art of open data city.

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Section: Infrastructure Supported Open Data Healthcarementioning

confidence: 99%

Section: Infrastructure Supported Open Data Healthcarementioning

confidence: 99%

Section: Infrastructure Supported Open Data Healthcarementioning

confidence: 99%

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Creating an Open Data City for Healthcare: A Critical Review of Data Management Strategy and Development in China

Fang

Chen

et al. 2023

J. Manage. Eng.

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“…86 Many diseasespecific biobanks are also set up in Chinese hospitals. 87 Given the high degree of interaction, resource sharing, and proximity between these biobanks and their host/ partner hospitals, it may be somewhat artificial (or even inaccurate) to categorize such biobanks' data as exclusively "research data" for the purposes of regulating data protection and data transfer. As a corollary, it may be equally artificial and inaccurate to characterize host/partner hospitals purely as health care institutions when they are so heavily involved in the work of research biobanks.…”

Section: Critique Of the Draft Ordinancementioning

confidence: 99%

Privacy and Biobanking in China: A Case of Policy in Transition

Chen¹,

Chan²,

Joly³

2015

J. Law. Med. Ethics

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With a population of over 1.3 billion, China is the most populous country in the world. It is facing an acute aging population problem, with a projected 440 million residents over age 60 and 101 million over age 80 by 2050. Furthermore, rapid industrialization and urbanization in China have resulted in serious air pollution and associated public health problems, including an increase in respiratory diseases and cancers. These and other demographic trends have generated concerns about the cost of health care and its impact on population health. In recent years, the Chinese government has invested heavily in the fields of translational research and biobanking with the hope that research in both fields can yield effective solutions to improve the public’s health and quality of life. The establishment of national biobanks was identified as a major initiative needed for the biomedical industry in the 12th Five-Year National Development Plan of Strategic Emerging Industries promulgated by the State Council in 2012.

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“…Human biospecimens are also critical in advancing biomedical research for Chinese researchers. 8 In 2009, Biobank Branch, China Medicinal Biotechnology Association, was established to promote the standardization of Chinese biorepositories. Since then, the Chinese government has focused more on the development of biobanks.…”

Section: Introductionmentioning

confidence: 99%

Positive association between research competitiveness of Chinese academic hospitals and the scale of their biobanks: A national survey

Zhang

Bian

Chen

et al. 2022

Clinical Translational Sci

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Biobanks are important research infrastructure developed rapidly by Chinese hospitals. The objective of this study is to investigate the association between the comprehensive research competitiveness of hospitals and the development of hospital biobanks. In 2018, we conducted a national survey among Chinese biobank managers and directors. An online questionnaire was used to collect data of biobank characteristics. Of the 70 academic hospital biobanks responded to our survey, 49 of their hospitals were listed in the Science and Technology Evaluation Metrics (STEM) and 46 of their hospitals were listed in the Fudan Hospital Rankings, respectively, in 2018. Hospital scores from the STEM and Fudan Hospital Rankings were identified from their official websites. Multivariate linear regression analyses were used to assess the associations of STEM scores and Fudan Hospital Rankings with the scale of biobanks. The overall STEM score, Scientific and Technological Output, and Academic Impact in hospitals with large‐scale biobanks were 48.35%, 55.16%, and 58.65% higher than those with small‐scale biobanks, respectively. The scale of biobanks was positively associated with STEM score (β = 0.367, p = 0.009), Scientific and Technological Output (β = 0.441, p = 0.001), and Academic Impact (β = 0.304, p = 0.044) after adjustment for potential confounders. For Fudan Hospital Rankings, the comprehensive score and sustainable development ability score were higher in hospitals with large‐scale biobanks. Further analyses showed that the scale of the biobanks was positively associated with a higher comprehensive score (β = 0.313, p = 0.037) and a sustainable development ability score (β = 0.463, p < 0.001). The scale of hospital biobanks was positively associated with the research competitiveness of Chinese hospitals.

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Chinese biobanks: present and future

Cited by 13 publications

References 19 publications

Creating an Open Data City for Healthcare: A Critical Review of Data Management Strategy and Development in China

Creating an Open Data City for Healthcare: A Critical Review of Data Management Strategy and Development in China

Privacy and Biobanking in China: A Case of Policy in Transition

Positive association between research competitiveness of Chinese academic hospitals and the scale of their biobanks: A national survey

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