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Big data, smart homes and ambient assisted living
Högskolan i Jönköping, Internationella Handelshögskolan, IHH, Informatik.
Högskolan i Jönköping, Internationella Handelshögskolan, IHH, Informatik.
2014 (Engelska)Ingår i: IMIA Yearbook of Medical Informatics, ISSN 0943-4747, s. 143-149Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Objectives: To discuss how current research in the area of smart homes and ambient assisted living will be influenced by the use of big data. Methods: 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. Results: 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. Conclusions: 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.

Ort, förlag, år, upplaga, sidor
2014. s. 143-149
Nyckelord [en]
big data, smart homes, ambient assisted living
Nationell ämneskategori
Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning
Identifikatorer
URN: urn:nbn:se:hj:diva-25225DOI: 10.15265/IY-2014-0011PubMedID: 25123734Scopus ID: 2-s2.0-85017287635OAI: oai:DiVA.org:hj-25225DiVA, id: diva2:768430
Tillgänglig från: 2014-12-03 Skapad: 2014-12-03 Senast uppdaterad: 2019-02-21Bibliografiskt granskad

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Vimarlund, VivianWass, Sofie

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