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A scoping review of cloud computing in healthcare

Overview of attention for article published in BMC Medical Informatics and Decision Making, March 2015
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

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Title
A scoping review of cloud computing in healthcare
Published in
BMC Medical Informatics and Decision Making, March 2015
DOI 10.1186/s12911-015-0145-7
Pubmed ID
Authors

Lena Griebel, Hans-Ulrich Prokosch, Felix Köpcke, Dennis Toddenroth, Jan Christoph, Ines Leb, Igor Engel, Martin Sedlmayr

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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 512 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 4 <1%
United States 3 <1%
United Kingdom 1 <1%
Germany 1 <1%
Spain 1 <1%
Canada 1 <1%
Unknown 501 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 86 17%
Student > Ph. D. Student 81 16%
Researcher 50 10%
Student > Bachelor 49 10%
Student > Doctoral Student 22 4%
Other 81 16%
Unknown 143 28%
Readers by discipline Count As %
Computer Science 146 29%
Medicine and Dentistry 48 9%
Business, Management and Accounting 35 7%
Engineering 29 6%
Nursing and Health Professions 19 4%
Other 66 13%
Unknown 169 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 December 2017.
All research outputs
#6,894,620
of 24,962,233 outputs
Outputs from BMC Medical Informatics and Decision Making
#614
of 2,119 outputs
Outputs of similar age
#74,731
of 269,195 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#18
of 35 outputs
Altmetric has tracked 24,962,233 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 2,119 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 70% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 269,195 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.