Big Data, Smart Homes and Ambient Assisted Living
Identifieur interne : 000405 ( Pmc/Corpus ); précédent : 000404; suivant : 000406Big Data, Smart Homes and Ambient Assisted Living
Auteurs : V. Vimarlund ; S. WassSource :
- Yearbook of Medical Informatics [ 0943-4747 ] ; 2014.
Abstract
To discuss how current research in the area of smart homes and ambient assisted living will be influenced by the use of big data.
A scoping review of literature published in scientific journals and conference proceedings was performed, focusing on smart homes, ambient assisted living and big data over the years 2011-2014.
The health and social care market has lagged behind other markets when it comes to the introduction of innovative IT solutions and the market faces a number of challenges as the use of big data will increase. First, there is a need for a sustainable and trustful information chain where the needed information can be transferred from all producers to all consumers in a structured way. Second, there is a need for big data strategies and policies to manage the new situation where information is handled and transferred independently of the place of the expertise. Finally, there is a possibility to develop new and innovative business models for a market that supports cloud computing, social media, crowdsourcing etc.
The interdisciplinary area of big data, smart homes and ambient assisted living is no longer only of interest for IT developers, it is also of interest for decision makers as customers make more informed choices among today’s services. In the future it will be of importance to make information usable for managers and improve decision making, tailor smart home services based on big data, develop new business models, increase competition and identify policies to ensure privacy, security and liability.
Url:
DOI: 10.15265/IY-2014-0011
PubMed: 25123734
PubMed Central: 4287073
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Big Data, Smart Homes and Ambient Assisted Living</title><author><name sortKey="Vimarlund, V" sort="Vimarlund, V" uniqKey="Vimarlund V" first="V." last="Vimarlund">V. Vimarlund</name><affiliation><nlm:aff id="aff001"><institution>Jönköping International Business School</institution>,<addr-line>Jönköping, Sweden</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="aff002"> Department of Computer Science,<institution>Linköping University</institution>,<addr-line>Linköping, Sweden</addr-line></nlm:aff></affiliation></author><author><name sortKey="Wass, S" sort="Wass, S" uniqKey="Wass S" first="S." last="Wass">S. Wass</name><affiliation><nlm:aff id="aff001"><institution>Jönköping International Business School</institution>,<addr-line>Jönköping, Sweden</addr-line></nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">25123734</idno><idno type="pmc">4287073</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4287073</idno><idno type="RBID">PMC:4287073</idno><idno type="doi">10.15265/IY-2014-0011</idno><date when="2014">2014</date><idno type="wicri:Area/Pmc/Corpus">000405</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000405</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Big Data, Smart Homes and Ambient Assisted Living</title><author><name sortKey="Vimarlund, V" sort="Vimarlund, V" uniqKey="Vimarlund V" first="V." last="Vimarlund">V. Vimarlund</name><affiliation><nlm:aff id="aff001"><institution>Jönköping International Business School</institution>,<addr-line>Jönköping, Sweden</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="aff002"> Department of Computer Science,<institution>Linköping University</institution>,<addr-line>Linköping, Sweden</addr-line></nlm:aff></affiliation></author><author><name sortKey="Wass, S" sort="Wass, S" uniqKey="Wass S" first="S." last="Wass">S. Wass</name><affiliation><nlm:aff id="aff001"><institution>Jönköping International Business School</institution>,<addr-line>Jönköping, Sweden</addr-line></nlm:aff></affiliation></author></analytic><series><title level="j">Yearbook of Medical Informatics</title><idno type="ISSN">0943-4747</idno><idno type="eISSN">2364-0502</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><title>Summary</title><sec><title>Objectives</title><p>To discuss how current research in the area of smart homes and ambient assisted living will be influenced by the use of big data.</p></sec><sec><title>Methods</title><p>A scoping review of literature published in scientific journals and conference proceedings was performed, focusing on smart homes, ambient assisted living and big data over the years 2011-2014.</p></sec><sec><title>Results</title><p>The health and social care market has lagged behind other markets when it comes to the introduction of innovative IT solutions and the market faces a number of challenges as the use of big data will increase. First, there is a need for a sustainable and trustful information chain where the needed information can be transferred from all producers to all consumers in a structured way. Second, there is a need for big data strategies and policies to manage the new situation where information is handled and transferred independently of the place of the expertise. Finally, there is a possibility to develop new and innovative business models for a market that supports cloud computing, social media, crowdsourcing etc.</p></sec><sec><title>Conclusions</title><p>The interdisciplinary area of big data, smart homes and ambient assisted living is no longer only of interest for IT developers, it is also of interest for decision makers as customers make more informed choices among today’s services. In the future it will be of importance to make information usable for managers and improve decision making, tailor smart home services based on big data, develop new business models, increase competition and identify policies to ensure privacy, security and liability.</p></sec></div></front></TEI><pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Yearb Med Inform</journal-id><journal-id journal-id-type="publisher-id">YMI</journal-id><journal-title-group><journal-title>Yearbook of Medical Informatics</journal-title></journal-title-group><issn pub-type="ppub">0943-4747</issn><issn pub-type="epub">2364-0502</issn><publisher><publisher-name>Schattauer GmbH</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">25123734</article-id><article-id pub-id-type="pmc">4287073</article-id><article-id pub-id-type="doi">10.15265/IY-2014-0011</article-id><article-categories><subj-group subj-group-type="heading"><subject>Working Group Contributions</subject></subj-group></article-categories><title-group><article-title>Big Data, Smart Homes and Ambient Assisted Living</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>Vimarlund</surname><given-names>V.</given-names></name><xref ref-type="aff" rid="aff001"><sup>1</sup></xref><xref ref-type="aff" rid="aff002"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"></xref></contrib><contrib contrib-type="author"><name><surname>Wass</surname><given-names>S.</given-names></name><xref ref-type="aff" rid="aff001"><sup>1</sup></xref></contrib></contrib-group><aff id="aff001"><label>1</label><institution>Jönköping International Business School</institution>,<addr-line>Jönköping, Sweden</addr-line></aff><aff id="aff002"><label>2</label> Department of Computer Science,<institution>Linköping University</institution>,<addr-line>Linköping, Sweden</addr-line></aff><author-notes><corresp>Correspondence to:</corresp><corresp id="cor1">Vivian Vimarlund, Jönköping International Business School, PO Box 1026, 551 11 Jönköping, Sweden <phone>+46 (0)36 101775</phone>, <fax>+46 (0)36 165069</fax>, <email>vivian.vimarlund@jibs.hj.se</email></corresp></author-notes><pub-date pub-type="epub"><day>15</day><month>8</month><year>2014</year></pub-date><pub-date pub-type="collection"><year>2014</year></pub-date><volume>9</volume><issue>1</issue><fpage>143</fpage><lpage>149</lpage><permissions><copyright-statement>© IMIA and Schattauer GmbH 2014</copyright-statement><copyright-year>2014</copyright-year></permissions><abstract><title>Summary</title><sec><title>Objectives</title><p>To discuss how current research in the area of smart homes and ambient assisted living will be influenced by the use of big data.</p></sec><sec><title>Methods</title><p>A scoping review of literature published in scientific journals and conference proceedings was performed, focusing on smart homes, ambient assisted living and big data over the years 2011-2014.</p></sec><sec><title>Results</title><p>The health and social care market has lagged behind other markets when it comes to the introduction of innovative IT solutions and the market faces a number of challenges as the use of big data will increase. First, there is a need for a sustainable and trustful information chain where the needed information can be transferred from all producers to all consumers in a structured way. Second, there is a need for big data strategies and policies to manage the new situation where information is handled and transferred independently of the place of the expertise. Finally, there is a possibility to develop new and innovative business models for a market that supports cloud computing, social media, crowdsourcing etc.</p></sec><sec><title>Conclusions</title><p>The interdisciplinary area of big data, smart homes and ambient assisted living is no longer only of interest for IT developers, it is also of interest for decision makers as customers make more informed choices among today’s services. In the future it will be of importance to make information usable for managers and improve decision making, tailor smart home services based on big data, develop new business models, increase competition and identify policies to ensure privacy, security and liability.</p></sec></abstract><kwd-group><title>Keywords</title><kwd>Big data</kwd><kwd>smart homes</kwd><kwd>ambient assisted living</kwd></kwd-group><counts><fig-count count="0"></fig-count><table-count count="0"></table-count><equation-count count="0"></equation-count><ref-count count="65"></ref-count><page-count count="7"></page-count></counts></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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