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Exploration and Consideration of the Medical Alliance Modes

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      Abstract

      Background:The distribution of medical resources in China has long been in an unbalanced state. Since 2009, the government has initiated the planning and construction of a sound grass-roots medical and health service system, increased investment in grass-roots medical and health institutions, but it has not received the expected results. In order to solve the problem, the medical consortium—with a full-featured, hierarchical and resource-sharing structure has been proposed.Methods:Overall, 1000 Electronic questionnaires about cognitive status of residents on medical alliance were randomly distributed in 50 community health service centers in 10 cities including Xuzhou, Nanjing, Hefei, Jinan, Zhengzhou, Changsha, Wuhan, Xi’an, Nanchang and Chengdu, China.Results:94.84% of the respondents responded they had heard about the construction of medical alliance, but they did not know the specific content. When asked about the preferred medical institution after illness, 93.50% participants preferred third-tier general hospital or specialist hospital. 62.58% of the respondents believe that the establishment of the medical alliance has not yet played a role and they are concerned that it cannot be effectively implemented. 62.27% of respondents were attracted by the convenience of medical alliance, 20.72% of respondents thought that they could easily get to famous doctors when they were in need, and 5.46% of respondents thought that there was no advantage in medical alliance.Conclusion:The establishment of the medical alliance is an effective means to promote the optimal allocation of medical and health resources. Government should perform its functions, and medical institutions and the whole society should all participate.

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      Most cited references 17

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      The Community Medical Alliance: an integrated system of care in Greater Boston for people with severe disability and AIDS.

      The Community Medical Alliance in Boston has adapted principles of prepaid managed care to redesign service delivery for people with severe physical disability and with late-stage AIDS. Experience to date suggests that the flexibility of capitation can be used to substantially shift care from its usual hospital focus to clinicians in home and community settings, especially nurse practitioners, with a high degree of patient satisfaction and without apparent compromise in quality. Instead of limiting access, managed care can use prepayment to support early interventions, coordination, and the development of services specifically designed to meet the needs of the target population.
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        Exploring the Case for a Global Alliance for Medical Diagnostics Initiative

        In recent years, the private and public sectors have increased investments in medical diagnostics for low- and middle-income countries (LMICs). Despite these investments, numerous barriers prevent the adoption of existing diagnostics and discourage the development and introduction of new diagnostics in LMICs. In the late 1990s, the global vaccine community had similar challenges, as vaccine coverage rates stagnated and the introduction of new vaccines was viewed as a distraction to delivering existing vaccines. To address these challenges, the international community came together and formed the Global Alliance for Vaccines Initiative (GAVI). Sixteen years after the formation of GAVI, we see evidence of a healthier global vaccine landscape. We discuss how GAVI’s four guiding principles (product, health systems strengthening, financing and market shaping) might apply to the advancement of medical diagnostics in LMICs. We present arguments for the international community and existing organizations to establish a Global Alliance for Medical Diagnostics Initiative (GAMDI).
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          The National Alliance for Medical Image Computing, a roadmap initiative to build a free and open source software infrastructure for translational research in medical image analysis.

          The National Alliance for Medical Image Computing (NA-MIC), is a multi-institutional, interdisciplinary community of researchers, who share the recognition that modern health care demands improved technologies to ease suffering and prolong productive life. Organized under the National Centers for Biomedical Computing 7 years ago, the mission of NA-MIC is to implement a robust and flexible open-source infrastructure for developing and applying advanced imaging technologies across a range of important biomedical research disciplines. A measure of its success, NA-MIC is now applying this technology to diseases that have immense impact on the duration and quality of life: cancer, heart disease, trauma, and degenerative genetic diseases. The targets of this technology range from group comparisons to subject-specific analysis.
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            Author and article information

            Affiliations
            Dept. of Nursing, Xuzhou Children’s Hospital, Xuzhou 221006, China
            Author notes
            [* ] Corresponding Author: Email: yci2um@ 123456163.com
            Journal
            Iran J Public Health
            Iran. J. Public Health
            IJPH
            IJPH
            Iranian Journal of Public Health
            Tehran University of Medical Sciences
            2251-6085
            2251-6093
            August 2018
            : 47
            : 8
            : 1160-1165
            6123575
            ijph-47-1160
            Copyright© Iranian Public Health Association & Tehran University of Medical Sciences

            This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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            Original Article

            Public health

            medical alliance, mode, china

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