Design of Cloud-Based China's Community Care System for Diabetes

Yang, Xue-Yu; Cao, Xue-Xia

doi:10.1109/isai.2016.0056

Cited by 1 publication

(4 citation statements)

References 11 publications

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“…The study proves that a planned community diabetic care system can be created through sharing information, knowledge, and techniques within a healthcare team This study only suggests that China's community care services for diabetes mellitus (DM) are still at an early stage, and some existing IT-based community care systems for diabetes are not cost-effective due to the issue of data islands (Yang & Cao, 2017)…”

Section: Hospitalmentioning

confidence: 99%

“…Researchers proposed an encrypted XML based cloud platform to facilitate the information exchange through the web service with the protection of data privacy (Wu & Wang, 2014). To further boost the effectiveness of some existing IT-based community care systems for countering diabetes, some researchers further embedded cloud technology and integrated multi-source data to enable the timely monitoring of patients' health can exchanging the patients' information (Yang & Cao, 2017). Some researchers looked into the data sharing and connection barriers between EMR and the web-based Public Health Information Systems (PHIS) for some regional health information platforms in China to guide public health decision-making and support public health surveillance (Su & Zhao, 2016).…”

Section: Infrastructure Supported Open Data Healthcarementioning

confidence: 99%

“…The last research group comes to the health systems, facilities, networks and communities. Articles covered cloud-based community care systems and platforms (Wu & Wang, 2014;Song et al, 2019a;Su & Zhao, 2016;Yang & Cao, 2017), multi-department, regional or citywide health infrastructure (Cai et al, 2020;Li et al, 2021;Wang et al, 2016;Xu et al, 2018a;Zhang et al, 2020b;Wang et al, 2019b;Al Omar et al, 2019). Unfortunately, some limitations restricted a wider sharing of medical information from the healthcare infrastructure's perspective:…”

Section: Infrastructure Supported Open Data Healthcarementioning

confidence: 99%

“…At the same time, the emergence of social network platforms (e.g., WeChat) (Fan et al, 2017) has contributed to the development of a multimedia healthcare consultation system. From the infrastructure's perspective, the building of system server group and hospital databases and the regional healthcare interface made digital "big data" databasescloud-based community care systems and platforms (Wu & Wang, 2014;Song et al, 2019a;Su & Zhao, 2016;Yang & Cao, 2017) and regional or city-wide health infrastructure (Cai et al, 2020;Li et al, 2021;Wang et al, 2016;Xu et al, 2018a;Zhang et al, 2020b;Wang et al, 2019b;Al Omar et al, 2019) become possible. From the process's perspective, the increase of hospital information outlets like the national insurance interface has made the integration of the insurance system possible (Tian et al, 2020).…”

Section: Achievements and Gaps Of Current Researchmentioning

confidence: 99%

See 3 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: Hospitalmentioning

confidence: 99%