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      Data integration of electronic medical record under administrative decentralization of medical insurance and healthcare in China: a case study


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          In most regions of China, Electronic Medical Record (EMR) systems in hospitals are developed in an uncoordinated manner. Medical Insurance and Healthcare Administration are localised and organizations gather data from a functional management viewpoint without consideration of wider information sharing. Discontinuity of data resources is serious. Despite the government’s repeated emphasis on EMR data integration, little progress has been made, causing inconvenience to patients, but also significantly hindering data mining.

          This exploratory investigation used a case study to identify bottlenecks of data integration and proposes countermeasures. Interviews were carried out with 27 practitioners from central and provincial governments, hospitals, and related enterprises in China. This research shows that EMR data collection without patients’ authorization poses a major hazard to data integration. In addition, non-uniform information standards and hospitals’ unwillingness to share data are also significant obstacles to integration. Moreover, friction caused by the administrative decentralization, as well as unsustainability of public finance investment, also hinders the integration of data resources.

          To solve these problems, first, a protocol should be adopted for multi-stakeholder participation in data collection. Administrative authorities should then co-establish information standards and a data audit mechanism. Finally, measures are proposed for expanding data integration for multiplying effectiveness and adopting the Public-Private Partnerships model.

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          Most cited references 22

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          Creating value in health care through big data: opportunities and policy implications.

          Big data has the potential to create significant value in health care by improving outcomes while lowering costs. Big data's defining features include the ability to handle massive data volume and variety at high velocity. New, flexible, and easily expandable information technology (IT) infrastructure, including so-called data lakes and cloud data storage and management solutions, make big-data analytics possible. However, most health IT systems still rely on data warehouse structures. Without the right IT infrastructure, analytic tools, visualization approaches, work flows, and interfaces, the insights provided by big data are likely to be limited. Big data's success in creating value in the health care sector may require changes in current polices to balance the potential societal benefits of big-data approaches and the protection of patients' confidentiality. Other policy implications of using big data are that many current practices and policies related to data use, access, sharing, privacy, and stewardship need to be revised.
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            Monitoring migrant health in Europe: a narrative review of data collection practices.

            Data on the health of migrants, including on health determinants and access to health services, are an essential pre-condition for providing appropriate and accessible health services to this population group. This article reviews how far current data collection systems in the European Union (EU) allow to monitor migrant health. We searched the academic literature using PubMed and reviewed the results of recent EU-funded research projects on migrant health. Most EU member states lack information on the health of migrants, limiting the possibility for monitoring and improving migrant health. National death registers allow for disaggregation according to migrant status in 24 of 27 EU member states. Registry data on health care utilization by migrant status are available in only 11 of 27 member states, although in most cases this only covers secondary and not primary care. Only few countries collect large-scale survey data on migrant health and health care utilization. Many EU countries need to step up their organizational and regulatory efforts to monitor migrant health if the current lack of data on migrant health should be overcome. This could be done through the inclusion of improved questions on migration in existing data collection processes. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.
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              Public attitudes towards the use of primary care patient record data in medical research without consent: a qualitative study.

               J. Fay,  K Hood,  M Robling (2004)
              Recent legislative changes within the United Kingdom have stimulated professional debate about access to patient data within research. However, there is currently little awareness of public views about such research. The authors sought to explore attitudes of the public, and their lay representatives, towards the use of primary care medical record data for research when patient consent was not being sought. 49 members of the public and four non-medical members of local community health councils in South Wales, UK gave their views on the value and acceptability of three current research scenarios, each describing access to data without patient consent. Among focus group participants, awareness of research in primary care was low, and the appropriateness of general practitioners as researchers was questioned. There was general support for research but also concerns expressed about data collection without consent. These included lack of respect and patient control over the process. Unauthorised access to data by external agencies was a common fear. Current data collection practices, including population based disease registers elicited much anxiety. The key informants were equally critical of the scenarios and generally less accepting. This exploratory study has highlighted a number of areas of public concern when medical records are accessed for research without patient consent. Public acceptability regarding the use of medical records in research cannot simply be assumed. Further work is required to determine how widespread such views are and to inform those advising on confidentiality issues.

                Author and article information

                Isr J Health Policy Res
                Isr J Health Policy Res
                Israel Journal of Health Policy Research
                BioMed Central (London )
                1 April 2019
                1 April 2019
                : 8
                ISNI 0000 0001 0695 5703, GRID grid.488146.7, Economic Institute, , Beijing Academy of Social Sciences, ; No. 33, North Fourth Ring Road, Chaoyang District, Beijing, 100101 China
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                Funded by: Beijing Academy of Social Sciences
                Award ID: 2018C4985
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 71302020
                Integrative Article
                Custom metadata
                © The Author(s) 2019


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