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Prahlad G Menon, Ph.D Associate Professor -The MeDCaVE Lab

Why healthcare needs the cloud

5/27/2014

30 Comments

 
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Radiology practices maintaining electronic patient records through digital radiology information systems (RIS) and vast amounts of imaging data through picture archiving and communication systems (PACS) are continuously faced with the problem of managing “big data”.  The healthcare industry generates vast amounts of imaging data and therefore, PACS technology needs to keep up simply to cope with healthcare’s explosive production of data. An average hospital is expected to produce 665 Terabytes of medical data by 2015!  These gargantuan and ever-increasing data requirements to store medical images and patient records have demanded the expansion of PACS storage capacities in orders of magnitude previously unfathomable in the print-radiology era.

To gain some context in regard to the nature of this big data, let us try to visualize it. The infographic below [1], which was originally prepared by NetApp but which has since gained widespread popularity over the internet, provides an interesting quantitative perspective on the current scale as well as the projected scope of this “big data problem” that radiology practices in the healthcare industry faces today.

Given these projections of data requirement growth rates, how must radiology practices act upon this knowledge today..?  The right thoughts that should be running through the mind of a savvy healthcare IT professional are, “Should I be investing an inordinate amount of money in upfront capital investment on projected data storage capacities for the next decade, knowing only too well they will stay unused and idle during most of their lifetime..?”  Further, notwithstanding the preeminence of tried and tested software available for recovery in the event of a data corruption or device malfunction incident, the unpredictable total costs of ownership over the lifetime of data, which incidentally encompasses maintenance, expansion, backup and replacement or recovery, is far from an alluring angle of owning and maintaining one’s own data-warehouse for medical images.

What if it were possible to benefit from the digital age without having to belabor about shortcomings and unpredictable costs of ownership..?  The solution is the cloud-based PACS which facilitates both data archiving and communication for remote access and retrieval of imaging data, entirely hosted in an off-site cloud server, managed and maintained by a HIPAA compliant third-party data-warehousing service provider i.e. the PACS vendor. 

While an end-user (client-side) installation of a traditional fully-equipped PACS system would involve a significant lead-time to set up and then an expensive end-user license agreement involving several annual (or multi-annual) scheduled maintenance updates, the cloud PACS services are usually plug-and-play services which are paid for on either an annual (and renewable) basis or a pay-per-patient (or per-access) service model. An important and highly valuable corollary of the fact that cloud-based systems require little to no time commitment from the customer for software or hardware maintenance activities, is that a cloud-based PACS always remains up-to-date as it is maintained by the PACS vendor! Another plus of a PACS-vendor on the cloud is the benefit of secure global access to your hospital data over an internet connection, behind the safeguards of robust protocols for authentication, authorization, and secrecy. 

To summarize, a new a cloud-based PACS can potentially offer your radiology practice better control and reliability in regard to imaging requirements outside of offering up huge saving in terms of unnecessary costs of owning and managing unwieldy data management equipment which eventually depreciate annually in terms of their asset value. So, if you’re struggling to keep up with your increasing patient data volumes, consider opting for the smart solution of a PACS-on-the-cloud which will seamlessly and effortlessly scale with your business and keep you at the helm of digital-imaging competitiveness, for absolutely no additional capital expense!
 
References: 
[1] Big-Data infographic by NetApp: https://communities.netapp.com/docs/DOC-23102 . Also published in the blog of the Institute for health technology transformation,“The body as a source of big data.” Infographic Friday, March 15, 2013.  Web: http://ihealthtran.com/wordpress/2013/03/infographic-friday-the-body-as-a-source-of-big-data/ .


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    Personal thoughts on Imaging, IoT, Megatrends, Technology & Travel - 
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    Prof. Prahlad G Menon, PhD

    Dr. Menon is an Associate Professor of Mathematics with appointments in Bioengineering at University of Pittsburgh and Biomedical Engineering at University of Texas at San Antonio.  He was previously a tenure-track, early-career assistant professor with the department of biomedical engineering at Duquesne University (Pittsburgh, PA) and until May 2015 on the faculty of the electrical and computer engineering (ECE) department in Carnegie Mellon University joint institute of engineering with Sun Yat-sen University (Pittsburgh, PA, USA and Guangzhou, China), where he currently maintains an adjunct professor appointment. He has served as adjunct faculty with the Dept of Biomedical Engineering at Carnegie Mellon University as well as the Heinz College of Information Science at Carnegie Mellon University. Dr. Menon's research group, The MeDCaVE, has its interests in the broad area of AI / data science applied to medical imaging analysis for biomarker discovery and more specifically in computational simulation of vascular flows and cardiovascular biomechanics, with application to diagnostics, surgical planning and interventional guidance.

    Also see the Prospective Student blog if you are a prospective student wishing to become affiliated with The MeDCaVE research group.


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