About: Assessing factors critical to smart technology applications to mobile health care − the fgm-fahp approach

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Assessing factors critical to smart technology applications to mobile health care − the fgm-fahp approach
Creator	Chen, Toly
Source	Elsevier; Medline; PMC
abstract	Smart technologies present numerous opportunities for enhancing mobile health care. However, some concerns regarding the viability of smart technology applications must be addressed. This study investigated these concerns by reviewing the current practices of smart technology applications to mobile health care. As a result, five factors critical to the applicability of a smart technology to mobile health care are identified, and the fuzzy geometric mean-fuzzy analytic hierarchy process (FGM-FAHP) approach is proposed to assess the relative importance levels of the identified factors. The experimental results showed that the three most critical factors identified include: (a) the relaxation of the related medical laws; (b) unobtrusiveness; and (c) the precise need and situation of a user. Accordingly, approximately 44%, 26%, and 15% of the budget should be allocated to the realization of the three critical factors, respectively. In addition, the challenges involved and opportunities for enhancing the effectiveness of existing applications are discussed.
has issue date	2020-02-15(xsd:dateTime)
bibo:doi	10.1016/j.hlpt.2020.02.005
bibo:pmid	32346502
has license	no-cc
sha1sum (hex)	7236a1dfe6471dd707053f3a663074d3ddec004a
schema:url	https://doi.org/10.1016/j.hlpt.2020.02.005
resource representing a document's title	Assessing factors critical to smart technology applications to mobile health care − the fgm-fahp approach
has PubMed Central identifier	PMC7185808
has PubMed identifier	32346502
schema:publication	Health Policy Technol
resource representing a document's body	covid:7236a1dfe6471dd707053f3a663074d3ddec004a#body_text
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