A Data-Enabled Business Model for a Smart Healthcare Information Service Platform in the Era of Digital Transformation
Digital technology has promoted service innovation and provided effective technical support for public service innovation in recent years. Smart healthcare, a key element of smart city development, has gradually become an important issue in government administration. Digital technology is deeply emb...
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2021-01-01
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Series: | Journal of Healthcare Engineering |
Online Access: | http://dx.doi.org/10.1155/2021/5519891 |
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doaj-8990461bb45a468292bbc11f05fe4fbe2021-06-14T00:16:57ZengHindawi LimitedJournal of Healthcare Engineering2040-23092021-01-01202110.1155/2021/5519891A Data-Enabled Business Model for a Smart Healthcare Information Service Platform in the Era of Digital TransformationYu Su0Fei Hou1Mingde Qi2Wanxuan Li3Ying Ji4Institute of Advanced Studies in Humanities and Social ScienceInstitute of Advanced Studies in Humanities and Social ScienceManagement SchoolSchool of BusinessSchool of BusinessDigital technology has promoted service innovation and provided effective technical support for public service innovation in recent years. Smart healthcare, a key element of smart city development, has gradually become an important issue in government administration. Digital technology is deeply embedded in healthcare services and reshapes value creation through digital transformation. This study combines data-enabled platform business models and value cocreation and adopts a case study approach to develop a business model for a medical information service platform that allows stakeholders to cocreate value through service exchange and resource integration in smart healthcare ecosystems, promotes efficient and coordinated applications of information, and realizes innovative development in the medical industry.http://dx.doi.org/10.1155/2021/5519891 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yu Su Fei Hou Mingde Qi Wanxuan Li Ying Ji |
spellingShingle |
Yu Su Fei Hou Mingde Qi Wanxuan Li Ying Ji A Data-Enabled Business Model for a Smart Healthcare Information Service Platform in the Era of Digital Transformation Journal of Healthcare Engineering |
author_facet |
Yu Su Fei Hou Mingde Qi Wanxuan Li Ying Ji |
author_sort |
Yu Su |
title |
A Data-Enabled Business Model for a Smart Healthcare Information Service Platform in the Era of Digital Transformation |
title_short |
A Data-Enabled Business Model for a Smart Healthcare Information Service Platform in the Era of Digital Transformation |
title_full |
A Data-Enabled Business Model for a Smart Healthcare Information Service Platform in the Era of Digital Transformation |
title_fullStr |
A Data-Enabled Business Model for a Smart Healthcare Information Service Platform in the Era of Digital Transformation |
title_full_unstemmed |
A Data-Enabled Business Model for a Smart Healthcare Information Service Platform in the Era of Digital Transformation |
title_sort |
data-enabled business model for a smart healthcare information service platform in the era of digital transformation |
publisher |
Hindawi Limited |
series |
Journal of Healthcare Engineering |
issn |
2040-2309 |
publishDate |
2021-01-01 |
description |
Digital technology has promoted service innovation and provided effective technical support for public service innovation in recent years. Smart healthcare, a key element of smart city development, has gradually become an important issue in government administration. Digital technology is deeply embedded in healthcare services and reshapes value creation through digital transformation. This study combines data-enabled platform business models and value cocreation and adopts a case study approach to develop a business model for a medical information service platform that allows stakeholders to cocreate value through service exchange and resource integration in smart healthcare ecosystems, promotes efficient and coordinated applications of information, and realizes innovative development in the medical industry. |
url |
http://dx.doi.org/10.1155/2021/5519891 |
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