Literature DB >> 24261387

Extended outlook: description, utilization, and daily applications of cloud technology in radiology.

Perry Gerard1, Neil Kapadia, Patricia T Chang, Jay Acharya, Michael Seiler, Zvi Lefkovitz.   

Abstract

OBJECTIVE: The purpose of this article is to discuss the concept of cloud technology, its role in medical applications and radiology, the role of the radiologist in using and accessing these vast resources of information, and privacy concerns and HIPAA compliance strategies.
CONCLUSION: Cloud computing is the delivery of shared resources, software, and information to computers and other devices as a metered service. This technology has a promising role in the sharing of patient medical information and appears to be particularly suited for application in radiology, given the field's inherent need for storage and access to large amounts of data. The radiology cloud has significant strengths, such as providing centralized storage and access, reducing unnecessary repeat radiologic studies, and potentially allowing radiologic second opinions more easily. There are significant cost advantages to cloud computing because of a decreased need for infrastructure and equipment by the institution. Private clouds may be used to ensure secure storage of data and compliance with HIPAA. In choosing a cloud service, there are important aspects, such as disaster recovery plans, uptime, and security audits, that must be considered. Given that the field of radiology has become almost exclusively digital in recent years, the future of secure storage and easy access to imaging studies lies within cloud computing technology.

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Year:  2013        PMID: 24261387     DOI: 10.2214/AJR.12.9673

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  3 in total

Review 1.  A scoping review of cloud computing in healthcare.

Authors:  Lena Griebel; Hans-Ulrich Prokosch; Felix Köpcke; Dennis Toddenroth; Jan Christoph; Ines Leb; Igor Engel; Martin Sedlmayr
Journal:  BMC Med Inform Decis Mak       Date:  2015-03-19       Impact factor: 2.796

2.  Pediatric Trauma Transfer Imaging Inefficiencies-Opportunities for Improvement with Cloud Technology.

Authors:  Yana Puckett; Alvin To
Journal:  AIMS Public Health       Date:  2016-02-26

3.  Novel platform for development, training, and validation of computer-assisted detection/diagnosis software.

Authors:  Yukihiro Nomura; Soichiro Miki; Naoto Hayashi; Shouhei Hanaoka; Issei Sato; Takeharu Yoshikawa; Yoshitaka Masutani; Osamu Abe
Journal:  Int J Comput Assist Radiol Surg       Date:  2020-03-09       Impact factor: 2.924

  3 in total

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