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      Employing digital technologies for effective governance: Taiwan's experience in COVID-19 prevention

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          Abstract

          Objectives

          In the digital era, it is important to harness digital technologies to implement effective governance. This paper aims to propose a conceptual framework for the digital governance roadmap. It mainly is the meaningful integration of digital technologies into drafting policy accompanied with comprehensive planning and flexible strategy for better governance. The high-quality, timely, and reliable database is one of the key digital infrastructures for the meaningful employment of digital technologies.

          Methods

          Taiwan's experience in COVID-19 pandemic prevention is employed as the case to explore the roadmap of digital governance. The Taiwan government and civil society harnessed the power of its National Health Insurance (NHI) database, and further employed data science and GIS to develop the Face-mask distribution system and QR code registration system. Comprehensive planning and flexible strategy were conducted to address public concerns, such as data privacy and digital divide.

          Results

          Harnessing the NHI database's power, the GIS-based Face-mask distribution system and QR code registration system contributed to reducing the infections, panics, and public concerns including data privacy and digital divide for pandemic prevention.

          Conclusions

          While exploring the systematic digital governance roadmap, it is necessary to fulfil three basic criteria: (1) comprehensive planning, (2) flexible strategies, and (3) the meaningful employment of digital technologies. As one of the key digital infrastructures for the employment of digital technologies, the high-quality, timely, and reliable database is essential to release the power of data-driven for cross-domain collaborations, multiple engagement, innovative applications, and digital empowerment, towards achieving effective governance.

          Public Interest Summary

          This paper proposes a conceptual framework for the roadmap of digital governance, which highlights the importance of the meaningful integration of digital technologies into drafting policies accompanied with comprehensive planning and flexible strategy to achieve effective governance. During the process, the high-quality, timely, and reliable database acts as a key role in facilitating the operation of digital infrastructure for the employment of digital technologies.

          Taiwan's experience in COVID-19 prevention by harnessing the power of the NHI database and developing the GIS-based Face-mask distribution system and QR code registration system effectively addressed the public concerns on data privacy and digital divide towards effective pandemic prevention. This could be an example provided for other countries to balance public concerns and effective governance.

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          Most cited references22

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          Response to COVID-19 in Taiwan: Big Data Analytics, New Technology, and Proactive Testing

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            Telemedicine, COVID-19, and Disparities: Policy Implications

            Highlights • Given the current COVID-19 pandemic and the significant increase in utilization of telemedicine and technologies to assist in patient care, we review the policy implications of these technologies in an effort to mitigate disparities. • Our article reviews recent policy changes and outlines important recommendations that governments and health care systems can adopt to improve access to telemedicine and to tailor the use of these technologies to best meet the needs of underserved patients.
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              Is Open Access

              Containing COVID-19 Among 627,386 Persons in Contact With the Diamond Princess Cruise Ship Passengers Who Disembarked in Taiwan: Big Data Analytics

              Background Low infection and case-fatality rates have been thus far observed in Taiwan. One of the reasons for this major success is better use of big data analytics in efficient contact tracing and management and surveillance of those who require quarantine and isolation. Objective We present here a unique application of big data analytics among Taiwanese people who had contact with more than 3000 passengers that disembarked at Keelung harbor in Taiwan for a 1-day tour on January 31, 2020, 5 days before the outbreak of coronavirus disease (COVID-19) on the Diamond Princess cruise ship on February 5, 2020, after an index case was identified on January 20, 2020. Methods The smart contact tracing–based mobile sensor data, cross-validated by other big sensor surveillance data, were analyzed by the mobile geopositioning method and rapid analysis to identify 627,386 potential contact-persons. Information on self-monitoring and self-quarantine was provided via SMS, and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) tests were offered for symptomatic contacts. National Health Insurance claims big data were linked, to follow-up on the outcome related to COVID-19 among those who were hospitalized due to pneumonia and advised to undergo screening for SARS-CoV-2. Results As of February 29, a total of 67 contacts who were tested by reverse transcription–polymerase chain reaction were all negative and no confirmed COVID-19 cases were found. Less cases of respiratory syndrome and pneumonia were found after the follow-up of the contact population compared with the general population until March 10, 2020. Conclusions Big data analytics with smart contact tracing, automated alert messaging for self-restriction, and follow-up of the outcome related to COVID-19 using health insurance data could curtail the resources required for conventional epidemiological contact tracing.
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                Author and article information

                Journal
                Health Policy Technol
                Health Policy Technol
                Health Policy and Technology
                Fellowship of Postgraduate Medicine. Published by Elsevier Ltd.
                2211-8837
                2211-8845
                1 May 2023
                1 May 2023
                : 100755
                Affiliations
                [a ]Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan
                [b ]National Council for Sustainable Development (NCSD), Executive Yuan, Taiwan Govt.
                [c ]Royal Geographical Society (with IBG), UK
                [d ]University College London (UCL), UK
                [e ]Department of Allergy, Immunology & Rheumatology, Chung Shan Medical University Hospital, Taichung, Taiwan
                [f ]Graduate Institute of Integrated Medicine, China Medical University, Taichung, Taiwan
                Author notes
                [* ]Corresponding author: James Cheng-Chung Wei, Department of Allergy, Immunology & Rheumatology, Institute of Medicine, Graduate Institute of Integrated Medicine, Chung Shan Medical University Hospital, Chung Shan Medical University, China Medical University, No. 110, Sec. 1, Jianguo N. Rd., South District, Taichung City 40201, Taiwan. (TEL)+886 4 24739595 #34718. (FAX) +886 4 24637389
                Article
                S2211-8837(23)00031-X 100755
                10.1016/j.hlpt.2023.100755
                10149355
                37287501
                ae1626bd-feca-4f8d-9b20-1f1a05d27be8
                © 2023 Fellowship of Postgraduate Medicine. Published by Elsevier Ltd.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

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                Categories
                Original Article/Research

                digital governance,digital technologies,database,covid-19 prevention,taiwan's experience,health policy

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