Mobile clinical decision support systems and applications: a literature and commercial review.
Identifieur interne : 000168 ( PubMed/Checkpoint ); précédent : 000167; suivant : 000169Mobile clinical decision support systems and applications: a literature and commercial review.
Auteurs : Borja Martínez-Pérez [Espagne] ; Isabel De La Torre-Díez ; Miguel L Pez-Coronado ; Beatriz Sainz-De-Abajo ; Montserrat Robles ; Juan Miguel García-G MezSource :
- Journal of medical systems [ 1573-689X ] ; 2014.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- instrumentation : Decision Support Systems, Clinical.
- statistics & numerical data : Health Personnel, Medicine.
- Humans, Mobile Applications, Quality of Health Care, User-Computer Interface.
Abstract
The latest advances in eHealth and mHealth have propitiated the rapidly creation and expansion of mobile applications for health care. One of these types of applications are the clinical decision support systems, which nowadays are being implemented in mobile apps to facilitate the access to health care professionals in their daily clinical decisions. The aim of this paper is twofold. Firstly, to make a review of the current systems available in the literature and in commercial stores. Secondly, to analyze a sample of applications in order to obtain some conclusions and recommendations. Two reviews have been done: a literature review on Scopus, IEEE Xplore, Web of Knowledge and PubMed and a commercial review on Google play and the App Store. Five applications from each review have been selected to develop an in-depth analysis and to obtain more information about the mobile clinical decision support systems. Ninety-two relevant papers and 192 commercial apps were found. Forty-four papers were focused only on mobile clinical decision support systems. One hundred seventy-one apps were available on Google play and 21 on the App Store. The apps are designed for general medicine and 37 different specialties, with some features common in all of them despite of the different medical fields objective. The number of mobile clinical decision support applications and their inclusion in clinical practices has risen in the last years. However, developers must be careful with their interface or the easiness of use, which can impoverish the experience of the users.
DOI: 10.1007/s10916-013-0004-y
PubMed: 24399281
Affiliations:
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()</term><term>Qualité des soins de santé</term><term>Systèmes d'aide à la décision clinique (instrumentation)</term></keywords><keywords scheme="MESH" qualifier="instrumentation" xml:lang="en"><term>Decision Support Systems, Clinical</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Health Personnel</term><term>Medicine</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Humans</term><term>Mobile Applications</term><term>Quality of Health Care</term><term>User-Computer Interface</term></keywords><keywords scheme="MESH" qualifier="instrumentation" xml:lang="fr"><term>Applications mobiles</term><term>Humains</term><term>Interface utilisateur</term><term>Médecine</term><term>Personnel de santé</term><term>Qualité des soins de santé</term><term>Systèmes d'aide à la décision clinique</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The latest advances in eHealth and mHealth have propitiated the rapidly creation and expansion of mobile applications for health care. One of these types of applications are the clinical decision support systems, which nowadays are being implemented in mobile apps to facilitate the access to health care professionals in their daily clinical decisions. The aim of this paper is twofold. Firstly, to make a review of the current systems available in the literature and in commercial stores. Secondly, to analyze a sample of applications in order to obtain some conclusions and recommendations. Two reviews have been done: a literature review on Scopus, IEEE Xplore, Web of Knowledge and PubMed and a commercial review on Google play and the App Store. Five applications from each review have been selected to develop an in-depth analysis and to obtain more information about the mobile clinical decision support systems. Ninety-two relevant papers and 192 commercial apps were found. Forty-four papers were focused only on mobile clinical decision support systems. One hundred seventy-one apps were available on Google play and 21 on the App Store. The apps are designed for general medicine and 37 different specialties, with some features common in all of them despite of the different medical fields objective. The number of mobile clinical decision support applications and their inclusion in clinical practices has risen in the last years. However, developers must be careful with their interface or the easiness of use, which can impoverish the experience of the users.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">24399281</PMID><DateCreated><Year>2014</Year><Month>01</Month><Day>08</Day></DateCreated><DateCompleted><Year>2015</Year><Month>01</Month><Day>26</Day></DateCompleted><DateRevised><Year>2015</Year><Month>05</Month><Day>29</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1573-689X</ISSN><JournalIssue CitedMedium="Internet"><Volume>38</Volume><Issue>1</Issue><PubDate><Year>2014</Year><Month>Jan</Month></PubDate></JournalIssue><Title>Journal of medical systems</Title><ISOAbbreviation>J Med Syst</ISOAbbreviation></Journal><ArticleTitle>Mobile clinical decision support systems and applications: a literature and commercial review.</ArticleTitle><Pagination><MedlinePgn>4</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1007/s10916-013-0004-y</ELocationID><Abstract><AbstractText>The latest advances in eHealth and mHealth have propitiated the rapidly creation and expansion of mobile applications for health care. One of these types of applications are the clinical decision support systems, which nowadays are being implemented in mobile apps to facilitate the access to health care professionals in their daily clinical decisions. The aim of this paper is twofold. Firstly, to make a review of the current systems available in the literature and in commercial stores. Secondly, to analyze a sample of applications in order to obtain some conclusions and recommendations. Two reviews have been done: a literature review on Scopus, IEEE Xplore, Web of Knowledge and PubMed and a commercial review on Google play and the App Store. Five applications from each review have been selected to develop an in-depth analysis and to obtain more information about the mobile clinical decision support systems. Ninety-two relevant papers and 192 commercial apps were found. Forty-four papers were focused only on mobile clinical decision support systems. One hundred seventy-one apps were available on Google play and 21 on the App Store. The apps are designed for general medicine and 37 different specialties, with some features common in all of them despite of the different medical fields objective. The number of mobile clinical decision support applications and their inclusion in clinical practices has risen in the last years. However, developers must be careful with their interface or the easiness of use, which can impoverish the experience of the users.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Martínez-Pérez</LastName><ForeName>Borja</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>Department of Signal Theory and Communications, and Telematics Engineering, University of Valladolid, Paseo de Belén, 15., 47011, Valladolid, Spain, borja.martinez@uva.es.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>de la Torre-Díez</LastName><ForeName>Isabel</ForeName><Initials>I</Initials></Author><Author ValidYN="Y"><LastName>López-Coronado</LastName><ForeName>Miguel</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Sainz-de-Abajo</LastName><ForeName>Beatriz</ForeName><Initials>B</Initials></Author><Author ValidYN="Y"><LastName>Robles</LastName><ForeName>Montserrat</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>García-Gómez</LastName><ForeName>Juan Miguel</ForeName><Initials>JM</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType><PublicationType UI="D016454">Review</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2014</Year><Month>01</Month><Day>08</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>J Med Syst</MedlineTA><NlmUniqueID>7806056</NlmUniqueID><ISSNLinking>0148-5598</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D020000">Decision Support Systems, Clinical</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000295">instrumentation</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006282">Health Personnel</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000706">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006801">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D008511">Medicine</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000706">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D063731">Mobile Applications</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D011787">Quality of Health Care</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D014584">User-Computer Interface</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2013</Year><Month>9</Month><Day>24</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2013</Year><Month>12</Month><Day>23</Day></PubMedPubDate><PubMedPubDate PubStatus="aheadofprint"><Year>2014</Year><Month>1</Month><Day>8</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2014</Year><Month>1</Month><Day>9</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>1</Month><Day>9</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2015</Year><Month>1</Month><Day>27</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="doi">10.1007/s10916-013-0004-y</ArticleId><ArticleId IdType="pubmed">24399281</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Espagne</li></country></list><tree><noCountry><name sortKey="De La Torre Diez, Isabel" sort="De La Torre Diez, Isabel" uniqKey="De La Torre Diez I" first="Isabel" last="De La Torre-Díez">Isabel De La Torre-Díez</name><name sortKey="Garcia G Mez, Juan Miguel" sort="Garcia G Mez, Juan Miguel" uniqKey="Garcia G Mez J" first="Juan Miguel" last="García-G Mez">Juan Miguel García-G Mez</name><name sortKey="L Pez Coronado, Miguel" sort="L Pez Coronado, Miguel" uniqKey="L Pez Coronado M" first="Miguel" last="L Pez-Coronado">Miguel L Pez-Coronado</name><name sortKey="Robles, Montserrat" sort="Robles, Montserrat" uniqKey="Robles M" first="Montserrat" last="Robles">Montserrat Robles</name><name sortKey="Sainz De Abajo, Beatriz" sort="Sainz De Abajo, Beatriz" uniqKey="Sainz De Abajo B" first="Beatriz" last="Sainz-De-Abajo">Beatriz Sainz-De-Abajo</name></noCountry><country name="Espagne"><noRegion><name sortKey="Martinez Perez, Borja" sort="Martinez Perez, Borja" uniqKey="Martinez Perez B" first="Borja" last="Martínez-Pérez">Borja Martínez-Pérez</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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