Big data analytics in healthcare: a systematic literature review
| dc.contributor.author | Sayantan Khanra | |
| dc.contributor.author | Amandeep Dhir | |
| dc.contributor.author | A. K. M. Najmul Islam | |
| dc.contributor.author | Matti Mäntymäki | |
| dc.contributor.organization | fi=tietojärjestelmätiede|en=Information Systems Science| | |
| dc.contributor.organization-code | 1.2.246.10.2458963.20.70128852004 | |
| dc.contributor.organization-code | 2608303 | |
| dc.converis.publication-id | 50712435 | |
| dc.converis.url | https://research.utu.fi/converis/portal/Publication/50712435 | |
| dc.date.accessioned | 2022-10-28T13:36:35Z | |
| dc.date.available | 2022-10-28T13:36:35Z | |
| dc.description.abstract | The current study performs a systematic literature review (SLR) to synthesise prior research on the applicability of big data analytics (BDA) in healthcare. The SLR examines the outcomes of 41 studies, and presents them in a comprehensive framework. The findings from this study suggest that applications of BDA in healthcare can be observed from five perspectives, namely, health awareness among the general public, interactions among stakeholders in the healthcare ecosystem, hospital management practices, treatment of specific medical conditions, and technology in healthcare service delivery. This SLR recommends actionable future research agendas for scholars and valuable implications for theory and practice. | |
| dc.format.pagerange | 878 | |
| dc.format.pagerange | 912 | |
| dc.identifier.eissn | 1751-7583 | |
| dc.identifier.jour-issn | 1751-7575 | |
| dc.identifier.olddbid | 183081 | |
| dc.identifier.oldhandle | 10024/166175 | |
| dc.identifier.uri | https://www.utupub.fi/handle/11111/58198 | |
| dc.identifier.urn | URN:NBN:fi-fe2021042822499 | |
| dc.language.iso | en | |
| dc.okm.affiliatedauthor | Khanra, Sayantan | |
| dc.okm.affiliatedauthor | Mäntymäki, Matti | |
| dc.okm.discipline | 113 Computer and information sciences | en_GB |
| dc.okm.discipline | 113 Tietojenkäsittely ja informaatiotieteet | fi_FI |
| dc.okm.internationalcopublication | international co-publication | |
| dc.okm.internationality | International publication | |
| dc.okm.type | A2 Scientific Article | |
| dc.publisher | TAYLOR & FRANCIS LTD | |
| dc.publisher.country | United Kingdom | en_GB |
| dc.publisher.country | Britannia | fi_FI |
| dc.publisher.country-code | GB | |
| dc.relation.doi | 10.1080/17517575.2020.1812005 | |
| dc.relation.ispartofjournal | Enterprise Information Systems | |
| dc.relation.issue | 7 | |
| dc.relation.volume | 14 | |
| dc.source.identifier | https://www.utupub.fi/handle/10024/166175 | |
| dc.title | Big data analytics in healthcare: a systematic literature review | |
| dc.year.issued | 2020 |
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