A scoping review of cloud computing in healthcare
Identifieur interne : 000176 ( Pmc/Curation ); précédent : 000175; suivant : 000177A scoping review of cloud computing in healthcare
Auteurs : Lena Griebel [Allemagne] ; Hans-Ulrich Prokosch [Allemagne] ; Felix Köpcke [Allemagne] ; Dennis Toddenroth [Allemagne] ; Jan Christoph [Allemagne] ; Ines Leb [Allemagne] ; Igor Engel [Allemagne] ; Martin Sedlmayr [Allemagne]Source :
- BMC Medical Informatics and Decision Making [ 1472-6947 ] ; 2015.
Abstract
Cloud computing is a recent and fast growing area of development in healthcare. Ubiquitous, on-demand access to virtually endless resources in combination with a pay-per-use model allow for new ways of developing, delivering and using services. Cloud computing is often used in an “OMICS-context”, e.g. for computing in genomics, proteomics and molecular medicine, while other field of application still seem to be underrepresented. Thus, the objective of this scoping review was to identify the current state and hot topics in research on cloud computing in healthcare beyond this traditional domain.
MEDLINE was searched in July 2013 and in December 2014 for publications containing the terms “cloud computing” and “cloud-based”. Each journal and conference article was categorized and summarized independently by two researchers who consolidated their findings.
102 publications have been analyzed and 6 main topics have been found: telemedicine/teleconsultation, medical imaging, public health and patient self-management, hospital management and information systems, therapy, and secondary use of data. Commonly used features are broad network access for sharing and accessing data and rapid elasticity to dynamically adapt to computing demands. Eight articles favor the pay-for-use characteristics of cloud-based services avoiding upfront investments. Nevertheless, while 22 articles present very general potentials of cloud computing in the medical domain and 66 articles describe conceptual or prototypic projects, only 14 articles report from successful implementations. Further, in many articles cloud computing is seen as an analogy to internet-/web-based data sharing and the characteristics of the particular cloud computing approach are unfortunately not really illustrated.
Even though cloud computing in healthcare is of growing interest only few successful implementations yet exist and many papers just use the term “cloud” synonymously for “using virtual machines” or “web-based” with no described benefit of the cloud paradigm. The biggest threat to the adoption in the healthcare domain is caused by involving external cloud partners: many issues of data safety and security are still to be solved. Until then, cloud computing is favored more for singular, individual features such as elasticity, pay-per-use and broad network access, rather than as cloud paradigm on its own.
The online version of this article (doi:10.1186/s12911-015-0145-7) contains supplementary material, which is available to authorized users.
Url:
DOI: 10.1186/s12911-015-0145-7
PubMed: 25888747
PubMed Central: 4372226
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<front><div type="abstract" xml:lang="en"><sec><title>Background</title>
<p>Cloud computing is a recent and fast growing area of development in healthcare. Ubiquitous, on-demand access to virtually endless resources in combination with a pay-per-use model allow for new ways of developing, delivering and using services. Cloud computing is often used in an “OMICS-context”, e.g. for computing in genomics, proteomics and molecular medicine, while other field of application still seem to be underrepresented. Thus, the objective of this scoping review was to identify the current state and hot topics in research on cloud computing in healthcare beyond this traditional domain.</p>
</sec>
<sec><title>Methods</title>
<p>MEDLINE was searched in July 2013 and in December 2014 for publications containing the terms “cloud computing” and “cloud-based”. Each journal and conference article was categorized and summarized independently by two researchers who consolidated their findings.</p>
</sec>
<sec><title>Results</title>
<p>102 publications have been analyzed and 6 main topics have been found: telemedicine/teleconsultation, medical imaging, public health and patient self-management, hospital management and information systems, therapy, and secondary use of data. Commonly used features are broad network access for sharing and accessing data and rapid elasticity to dynamically adapt to computing demands. Eight articles favor the pay-for-use characteristics of cloud-based services avoiding upfront investments. Nevertheless, while 22 articles present very general potentials of cloud computing in the medical domain and 66 articles describe conceptual or prototypic projects, only 14 articles report from successful implementations. Further, in many articles cloud computing is seen as an analogy to internet-/web-based data sharing and the characteristics of the particular cloud computing approach are unfortunately not really illustrated.</p>
</sec>
<sec><title>Conclusions</title>
<p>Even though cloud computing in healthcare is of growing interest only few successful implementations yet exist and many papers just use the term “cloud” synonymously for “using virtual machines” or “web-based” with no described benefit of the cloud paradigm. The biggest threat to the adoption in the healthcare domain is caused by involving external cloud partners: many issues of data safety and security are still to be solved. Until then, cloud computing is favored more for singular, individual features such as elasticity, pay-per-use and broad network access, rather than as cloud paradigm on its own.</p>
</sec>
<sec><title>Electronic supplementary material</title>
<p>The online version of this article (doi:10.1186/s12911-015-0145-7) contains supplementary material, which is available to authorized users.</p>
</sec>
</div>
</front>
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<pmc article-type="research-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">BMC Med Inform Decis Mak</journal-id>
<journal-id journal-id-type="iso-abbrev">BMC Med Inform Decis Mak</journal-id>
<journal-title-group><journal-title>BMC Medical Informatics and Decision Making</journal-title>
</journal-title-group>
<issn pub-type="epub">1472-6947</issn>
<publisher><publisher-name>BioMed Central</publisher-name>
<publisher-loc>London</publisher-loc>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">25888747</article-id>
<article-id pub-id-type="pmc">4372226</article-id>
<article-id pub-id-type="publisher-id">145</article-id>
<article-id pub-id-type="doi">10.1186/s12911-015-0145-7</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject>
</subj-group>
</article-categories>
<title-group><article-title>A scoping review of cloud computing in healthcare</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>Griebel</surname>
<given-names>Lena</given-names>
</name>
<address><email>Lena.Griebel@uk-erlangen.de</email>
</address>
<xref ref-type="aff" rid="Aff1"></xref>
</contrib>
<contrib contrib-type="author"><name><surname>Prokosch</surname>
<given-names>Hans-Ulrich</given-names>
</name>
<address><email>Hans-Ulrich.Prokosch@uk-erlangen.de</email>
</address>
<xref ref-type="aff" rid="Aff1"></xref>
</contrib>
<contrib contrib-type="author"><name><surname>Köpcke</surname>
<given-names>Felix</given-names>
</name>
<address><email>Felix.Koepcke@uk-erlangen.de</email>
</address>
<xref ref-type="aff" rid="Aff1"></xref>
</contrib>
<contrib contrib-type="author"><name><surname>Toddenroth</surname>
<given-names>Dennis</given-names>
</name>
<address><email>Dennis.Toddenroth@imi.med.uni-erlangen.de</email>
</address>
<xref ref-type="aff" rid="Aff1"></xref>
</contrib>
<contrib contrib-type="author"><name><surname>Christoph</surname>
<given-names>Jan</given-names>
</name>
<address><email>Jan.Christoph@uk-erlangen.de</email>
</address>
<xref ref-type="aff" rid="Aff1"></xref>
</contrib>
<contrib contrib-type="author"><name><surname>Leb</surname>
<given-names>Ines</given-names>
</name>
<address><email>Ines.Leb@uk-erlangen.de</email>
</address>
<xref ref-type="aff" rid="Aff1"></xref>
</contrib>
<contrib contrib-type="author"><name><surname>Engel</surname>
<given-names>Igor</given-names>
</name>
<address><email>Igor.Engel@uk-erlangen.de</email>
</address>
<xref ref-type="aff" rid="Aff1"></xref>
</contrib>
<contrib contrib-type="author"><name><surname>Sedlmayr</surname>
<given-names>Martin</given-names>
</name>
<address><email>Martin.Sedlmayr@imi.med.uni-erlangen.de</email>
</address>
<xref ref-type="aff" rid="Aff1"></xref>
</contrib>
<aff id="Aff1">Department of Medical Informatics, Friedrich-Alexander-University Erlangen-Nürnberg, Wetterkreuz 13, Erlangen, D-91058 Germany</aff>
</contrib-group>
<pub-date pub-type="epub"><day>19</day>
<month>3</month>
<year>2015</year>
</pub-date>
<pub-date pub-type="pmc-release"><day>19</day>
<month>3</month>
<year>2015</year>
</pub-date>
<pub-date pub-type="collection"><year>2015</year>
</pub-date>
<volume>15</volume>
<elocation-id>17</elocation-id>
<history><date date-type="received"><day>31</day>
<month>7</month>
<year>2014</year>
</date>
<date date-type="accepted"><day>4</day>
<month>3</month>
<year>2015</year>
</date>
</history>
<permissions><copyright-statement>© Griebel et al.; licensee BioMed Central. 2015</copyright-statement>
<license license-type="open-access"><license-p>This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0">http://creativecommons.org/licenses/by/4.0</ext-link>
), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/publicdomain/zero/1.0/">http://creativecommons.org/publicdomain/zero/1.0/</ext-link>
) applies to the data made available in this article, unless otherwise stated.</license-p>
</license>
</permissions>
<abstract id="Abs1"><sec><title>Background</title>
<p>Cloud computing is a recent and fast growing area of development in healthcare. Ubiquitous, on-demand access to virtually endless resources in combination with a pay-per-use model allow for new ways of developing, delivering and using services. Cloud computing is often used in an “OMICS-context”, e.g. for computing in genomics, proteomics and molecular medicine, while other field of application still seem to be underrepresented. Thus, the objective of this scoping review was to identify the current state and hot topics in research on cloud computing in healthcare beyond this traditional domain.</p>
</sec>
<sec><title>Methods</title>
<p>MEDLINE was searched in July 2013 and in December 2014 for publications containing the terms “cloud computing” and “cloud-based”. Each journal and conference article was categorized and summarized independently by two researchers who consolidated their findings.</p>
</sec>
<sec><title>Results</title>
<p>102 publications have been analyzed and 6 main topics have been found: telemedicine/teleconsultation, medical imaging, public health and patient self-management, hospital management and information systems, therapy, and secondary use of data. Commonly used features are broad network access for sharing and accessing data and rapid elasticity to dynamically adapt to computing demands. Eight articles favor the pay-for-use characteristics of cloud-based services avoiding upfront investments. Nevertheless, while 22 articles present very general potentials of cloud computing in the medical domain and 66 articles describe conceptual or prototypic projects, only 14 articles report from successful implementations. Further, in many articles cloud computing is seen as an analogy to internet-/web-based data sharing and the characteristics of the particular cloud computing approach are unfortunately not really illustrated.</p>
</sec>
<sec><title>Conclusions</title>
<p>Even though cloud computing in healthcare is of growing interest only few successful implementations yet exist and many papers just use the term “cloud” synonymously for “using virtual machines” or “web-based” with no described benefit of the cloud paradigm. The biggest threat to the adoption in the healthcare domain is caused by involving external cloud partners: many issues of data safety and security are still to be solved. Until then, cloud computing is favored more for singular, individual features such as elasticity, pay-per-use and broad network access, rather than as cloud paradigm on its own.</p>
</sec>
<sec><title>Electronic supplementary material</title>
<p>The online version of this article (doi:10.1186/s12911-015-0145-7) contains supplementary material, which is available to authorized users.</p>
</sec>
</abstract>
<kwd-group xml:lang="en"><title>Keywords</title>
<kwd>Cloud computing</kwd>
<kwd>Internet</kwd>
<kwd>E-health</kwd>
<kwd>Medicine</kwd>
<kwd>Healthcare</kwd>
</kwd-group>
<custom-meta-group><custom-meta><meta-name>issue-copyright-statement</meta-name>
<meta-value>© The Author(s) 2015</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
</pmc>
</record>
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