Citation Export
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Han, Jeong Hyeon | - |
| dc.contributor.author | Lee, Joo Yeoun | - |
| dc.date.issued | 2021-01-01 | - |
| dc.identifier.uri | https://aurora.ajou.ac.kr/handle/2018.oak/36674 | - |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85102977225&origin=inward | - |
| dc.description.abstract | Healthcare is an enormous industry based on legacy systems, which can lead to inefficiencies. While governments and medical companies have long been the main investors, major tech companies including Google, Microsoft have started investing more into digital health. Moreover, with the global pandemic of COVID-19 around the world, discussions about digital healthcare are once again emerging. This has caused a major shift in areas of focus within digital health as new technologies emerge and regulations evolve due to combined expertise. In this paper, we will look at the digital healthcare industry, policies, and technologies. | - |
| dc.language.iso | eng | - |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
| dc.subject.mesh | Healthcare industry | - |
| dc.subject.mesh | Industry based | - |
| dc.subject.mesh | Medical companies | - |
| dc.subject.mesh | MicroSoft | - |
| dc.subject.mesh | Technology trends | - |
| dc.title | Digital healthcare industry and technology trends | - |
| dc.type | Conference | - |
| dc.citation.conferenceDate | 2021.1.17. ~ 2021.1.20. | - |
| dc.citation.conferenceName | 2021 IEEE International Conference on Big Data and Smart Computing, BigComp 2021 | - |
| dc.citation.edition | Proceedings - 2021 IEEE International Conference on Big Data and Smart Computing, BigComp 2021 | - |
| dc.citation.endPage | 377 | - |
| dc.citation.startPage | 375 | - |
| dc.citation.title | Proceedings - 2021 IEEE International Conference on Big Data and Smart Computing, BigComp 2021 | - |
| dc.identifier.bibliographicCitation | Proceedings - 2021 IEEE International Conference on Big Data and Smart Computing, BigComp 2021, pp.375-377 | - |
| dc.identifier.doi | 10.1109/bigcomp51126.2021.00083 | - |
| dc.identifier.scopusid | 2-s2.0-85102977225 | - |
| dc.identifier.url | http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9373068 | - |
| dc.subject.keyword | AI | - |
| dc.subject.keyword | Big Data | - |
| dc.subject.keyword | Digital healthcare | - |
| dc.subject.keyword | Healthcare | - |
| dc.type.other | Conference Paper | - |
| dc.description.isoa | true | - |
| dc.subject.subarea | Artificial Intelligence | - |
| dc.subject.subarea | Computer Science Applications | - |
| dc.subject.subarea | Computer Vision and Pattern Recognition | - |
| dc.subject.subarea | Information Systems | - |
| dc.subject.subarea | Signal Processing | - |
| dc.subject.subarea | Information Systems and Management | - |
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