Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations
To date, health care industry has not fully grasped the potential benefits to be gained from big data analytics. While the constantly growing body of academic research on big data analytics is mostly technology oriented, a better understanding of the strategic implications of big data is urgently ne...
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Veröffentlicht in: | Technological forecasting & social change 2018-01, Vol.126, p.3-13 |
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description | To date, health care industry has not fully grasped the potential benefits to be gained from big data analytics. While the constantly growing body of academic research on big data analytics is mostly technology oriented, a better understanding of the strategic implications of big data is urgently needed. To address this lack, this study examines the historical development, architectural design and component functionalities of big data analytics. From content analysis of 26 big data implementation cases in healthcare, we were able to identify five big data analytics capabilities: analytical capability for patterns of care, unstructured data analytical capability, decision support capability, predictive capability, and traceability. We also mapped the benefits driven by big data analytics in terms of information technology (IT) infrastructure, operational, organizational, managerial and strategic areas. In addition, we recommend five strategies for healthcare organizations that are considering to adopt big data analytics technologies. Our findings will help healthcare organizations understand the big data analytics capabilities and potential benefits and support them seeking to formulate more effective data-driven analytics strategies.
•A big data analytics architecture for healthcare organizations is built.•We identify five big data analytics capabilities from 26 big data cases.•We present several strategies for being successful with big data analytics in healthcare settings.•We provide a comprehensive understanding of the potential benefits of big data analytics. |
doi_str_mv | 10.1016/j.techfore.2015.12.019 |
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•A big data analytics architecture for healthcare organizations is built.•We identify five big data analytics capabilities from 26 big data cases.•We present several strategies for being successful with big data analytics in healthcare settings.•We provide a comprehensive understanding of the potential benefits of big data analytics.</description><subject>Analytics</subject><subject>Big Data</subject><subject>Big data analytics</subject><subject>Big data analytics architecture</subject><subject>Big data analytics capabilities</subject><subject>Business value of information technology (IT)</subject><subject>Content analysis</subject><subject>Data analysis</subject><subject>Data management</subject><subject>Decision analysis</subject><subject>Health care</subject><subject>Health care industry</subject><subject>Health services</subject><subject>Historical development</subject><subject>Information technology</subject><subject>Mathematical analysis</subject><subject>Organizations</subject><subject>Predictions</subject><subject>Strategies</subject><subject>Studies</subject><subject>Technology assessment</subject><subject>Unstructured data</subject><issn>0040-1625</issn><issn>1873-5509</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>BHHNA</sourceid><recordid>eNqFkE1LAzEURYMoWKt_QQKuZ0wmyXTGlVr8goIbuw5vkjdtypipSSrorzelunb1Nvdc3j2EXHJWcsbr602Z0Kz7MWBZMa5KXpWMt0dkwpuZKJRi7TGZMCZZwetKnZKzGDeMsZlo6gnp792KWkhAwcPwlZyJN3TpLYaYwFvnV9SlSA1soXODSw5jTlq6HRP65GCgHXrs95n8AV0jDGltICAdwwq8-4bkRh_PyUkPQ8SL3zsly8eHt_lzsXh9epnfLQojK5YKWYmZbABsz4UVoKoO26ruu1Z2XNUgWtsJ2ylleM0RgAkruZFKCjtrZVP3YkquDr3bMH7sMCa9GXchL4s6u2myF960OVUfUiaMMQbs9Ta4dwhfmjO9d6o3-s_pnlOaVzqzGbw9gJg3fDoMOhqH3qB1AU3SdnT_VfwA2hKE9g</recordid><startdate>201801</startdate><enddate>201801</enddate><creator>Wang, Yichuan</creator><creator>Kung, LeeAnn</creator><creator>Byrd, Terry Anthony</creator><general>Elsevier Inc</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>7U4</scope><scope>8FD</scope><scope>BHHNA</scope><scope>DWI</scope><scope>F28</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>WZK</scope><orcidid>https://orcid.org/0000-0003-1575-0245</orcidid></search><sort><creationdate>201801</creationdate><title>Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations</title><author>Wang, Yichuan ; Kung, LeeAnn ; Byrd, Terry Anthony</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c420t-423748aadf13d3a52be926fb94b156a39db3db55c161eaa03d41c4543d79486f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Analytics</topic><topic>Big Data</topic><topic>Big data analytics</topic><topic>Big data analytics architecture</topic><topic>Big data analytics capabilities</topic><topic>Business value of information technology (IT)</topic><topic>Content analysis</topic><topic>Data analysis</topic><topic>Data management</topic><topic>Decision analysis</topic><topic>Health care</topic><topic>Health care industry</topic><topic>Health services</topic><topic>Historical development</topic><topic>Information technology</topic><topic>Mathematical analysis</topic><topic>Organizations</topic><topic>Predictions</topic><topic>Strategies</topic><topic>Studies</topic><topic>Technology assessment</topic><topic>Unstructured data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Yichuan</creatorcontrib><creatorcontrib>Kung, LeeAnn</creatorcontrib><creatorcontrib>Byrd, Terry Anthony</creatorcontrib><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Sociological Abstracts (pre-2017)</collection><collection>Technology Research Database</collection><collection>Sociological Abstracts</collection><collection>Sociological Abstracts</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Sociological Abstracts (Ovid)</collection><jtitle>Technological forecasting & social change</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Yichuan</au><au>Kung, LeeAnn</au><au>Byrd, Terry Anthony</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations</atitle><jtitle>Technological forecasting & social change</jtitle><date>2018-01</date><risdate>2018</risdate><volume>126</volume><spage>3</spage><epage>13</epage><pages>3-13</pages><issn>0040-1625</issn><eissn>1873-5509</eissn><abstract>To date, health care industry has not fully grasped the potential benefits to be gained from big data analytics. While the constantly growing body of academic research on big data analytics is mostly technology oriented, a better understanding of the strategic implications of big data is urgently needed. To address this lack, this study examines the historical development, architectural design and component functionalities of big data analytics. From content analysis of 26 big data implementation cases in healthcare, we were able to identify five big data analytics capabilities: analytical capability for patterns of care, unstructured data analytical capability, decision support capability, predictive capability, and traceability. We also mapped the benefits driven by big data analytics in terms of information technology (IT) infrastructure, operational, organizational, managerial and strategic areas. In addition, we recommend five strategies for healthcare organizations that are considering to adopt big data analytics technologies. Our findings will help healthcare organizations understand the big data analytics capabilities and potential benefits and support them seeking to formulate more effective data-driven analytics strategies.
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subjects | Analytics Big Data Big data analytics Big data analytics architecture Big data analytics capabilities Business value of information technology (IT) Content analysis Data analysis Data management Decision analysis Health care Health care industry Health services Historical development Information technology Mathematical analysis Organizations Predictions Strategies Studies Technology assessment Unstructured data |
title | Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations |
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