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Precision Medicine Holds Lifesaving Promise-- If IT Performance Challenges are Met

Condusiv: A widely heralded digital golden age of healthcare depends on obtaining steady, rapid performance increases from already stressed systems.


News provided by

Condusiv

Feb 25, 2019, 08:00 ET

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James D'Arezzo, CEO of Condusiv Technologies, recognizes the promise data collection and analysis has on precision medicine.
James D'Arezzo, CEO of Condusiv Technologies, recognizes the promise data collection and analysis has on precision medicine.

GLENDALE, Calif., Feb. 25, 2019 /PRNewswire-PRWeb/ -- Recent developments in data collection and analysis are paving the way to a new era in healthcare. Today, patient data is generated at a level orders of magnitude higher than that of even a decade ago. Through advanced predictive analytics, this information has the potential to save lives through the diagnosis, treatment, and prevention of disease at a highly personalized level.[1] "Precision medicine," says James D'Arezzo, CEO, Condusiv Technologies, "holds enormous promise. Realizing that promise, however, is not going to be easy." D'Arezzo, whose company is the world leader in I/O reduction and SQL database performance, adds, "The development of these complex predictive models depends on the ability to organize, manage, and interpret unprecedentedly massive amounts of data."

Industry experts agree. A biomedical journal commenting on the recent Precision Medicine World Conference (January 20-23, 2019, Santa Clara, CA) observes, "The results from this type of research will likely offer countless opportunities for future clinical decision-making. In order to implement appropriately, however, the challenges associated with large datasets need to be resolved."[2] A recent report from the California Precision Medicine Advisory Committee echoes this assessment, adding that precision medicine will require significant investments in data storage, infrastructure, and security systems in the coming years to achieve its full potential.[3]

“The development of these complex predictive models depends on the ability to organize, manage, and interpret unprecedentedly massive amounts of data.”

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The technical and organizational challenges these investments are intended to help overcome are magnified by the explosive growth rate of medical data analytics of all kinds. According to a recent report from International Data Corporation, the volume of data processed in the overall healthcare sector is projected to increase at a compound annual growth rate of 36% through 2025, significantly faster than in other data-intensive industries such as manufacturing (30% projected CAGR), financial services (26%) and media and entertainment (25%).[4] Meanwhile, according to BIS Research, the subcategory of precision medicine, a $43.6 billion global market in 2016, is expected to reach $141.7 billion by 2026.[5]

To handle this escalating volume of data, and to reap the enormous promise of impending medical developments, the healthcare sector's IT chiefs will need to stay focused on the basics of what they are being asked to do. While investments in storage and infrastructure will be helpful to a degree, big data, D'Arezzo notes, is primarily a matter of processing a certain volume of information at a certain speed. The ability to do that is fundamentally dependent on the overall system's I/O capacity—which can be affected only to a limited extent by additional hardware.

"In the Windows environment, especially," says D'Arezzo, "you will encounter performance degradation over time as I/O capacity declines. This is a software problem peculiar to Windows; beyond a certain point, adding hardware will not help it. There are targeted software solutions, however, that can improve system throughput by up to 50% without additional hardware. My company is the world leader in developing these solutions. They are available on a software-as-a-service basis, and should be part of the IT toolkit for any large-scale healthcare organization."

About Condusiv® Technologies
Condusiv Technologies is the world leader in software-only storage performance solutions for virtual and physical server environments, enabling systems to process more data in less time for faster application performance. Condusiv guarantees to solve the toughest application performance challenges with faster-than-new performance via V-locity® for virtual servers and Diskeeper® or SSDkeeper® for physical servers and PCs. With over 100 million licenses sold, Condusiv solutions are used by 90% of Fortune 1000 companies and almost three-quarters of Forbes Global 100 companies to increase business productivity and reduce data center costs while extending the life of existing hardware. Condusiv CEO Jim D'Arezzo has had a long and distinguished career in the high-tech arena.

Condusiv was founded in 1981 by Craig Jensen as Executive Software. Over 37 years, he has taken the thought leadership in file system management and caching and transformed it into enterprise software. For more information, visit  http://www.condusiv.com

1. Rose, Nicole, "Advancing Precision Medicine Using Cloud-Based Informatics," Genetic Engineering & Biotechnology News, January 11, 2019.

2. Lopez, Anna, "BMC Medicine attends PMWC," BMC Medicine, February 7, 2019.

3. Donovan, Fred, "Precision Medicine Requires Data Storage, Infrastructure Upgrades," HIT Infrastructure, January 4, 2019.

4. Kent, Jessica, "Big Data to See Explosive Growth, Challenging Healthcare Organizations," Health IT Analytics, December 3, 2018.

5."Global Precision Medicine Market to Reach $141.70 Billion by 2026, Reports BIS Research," December 15, 2017.

SOURCE Condusiv

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James D'Arezzo, CEO of Condusiv Technologies
James D'Arezzo, CEO of Condusiv Technologies
Condusiv Technologies | Company Logo
Condusiv Technologies | Company Logo
James D'Arezzo, CEO of Condusiv Technologies Condusiv Technologies | Company Logo

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