State-of-the-Art Reviews
Dec 6, 2022

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

Publication: Journal of Management in Engineering
Volume 39, Issue 2

Abstract

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 necessary 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, and 79 out of 4,611 articles were selected, reviewed, and analyzed. A mixed-method approach was implemented to review and assess the existing efforts of open data city for healthcare through latitudinal and longitudinal analyses from five aspects based on sociotechnical systems: technology, people, infrastructure, processes, and culture. The gaps, missions, and challenges of developing an open data city for healthcare are also summarized, and an open data city healthcare reinforcement framework is proposed accordingly. This research contributes a new multidimensional 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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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

Acknowledgments

This research is supported by the grants from the University College London (UCL) Global Engagement Strategic Partner Funds and UCL Centre for Blockchain Technologies (CBT).

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Zigeng Fang [email protected]
Ph.D. Candidate, Bartlett School of Sustainable Construction, Univ. College London, London WC1E 6BT, UK. Email: [email protected]
Qiuchen Lu, A.M.ASCE [email protected]
Lecturer, Bartlett School of Sustainable Construction, Univ. College London, London WC1E 6BT, UK. Email: [email protected]
Lecturer, School of Architecture Building and Civil Engineering, Loughborough Univ., Loughborough LE11 3TU, UK (corresponding author). ORCID: https://orcid.org/0000-0002-6771-752X. Email: [email protected]
Ph.D. Candidate, Bartlett School of Sustainable Construction, Univ. College London, London WC1E 6BT, UK. ORCID: https://orcid.org/0000-0002-8259-8119. Email: [email protected]
Associate Professor, Bartlett School of Sustainable Construction, Univ. College London, London WC1E 6BT, UK. Email: [email protected]
Michael Pitt [email protected]
Professor, Bartlett School of Sustainable Construction, Univ. College London, London WC1E 6BT, UK. Email: [email protected]

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