Healthcare is using machine learning to improve clarity

digitaljournal.com | February 12, 2020

To make health information more accessible, healthcare organizations are turning to algorithms tailored specifically for medical terminology, removing jargon from text, and making the wording far easier for the general population to understand. In November 2019 the U.S. government released proposed rules requiring price transparency by having hospitals openly make available information about all charges and negotiated fees. A part of the rules that didn’t get a lot of attention was the requirement to make the text understandable, with plain language descriptions.To comply with the rules, many healthcare organizations are employing machine learning to make their billing and fee information more understandable to consumers.

Spotlight

Despite Winston’s Churchill’s admonition to avoid predictions until after events occur, Spectra Logic is publishing its third annual Data Storage Outlook that casts an eye on the future regarding the storage, management and preservation of the world’s treasury of digital information. Knowledge and digital data play vital roles in our global society and, with the digital world exploding at unprecedented rates, digital information must be captured, leveraged and contained for years to come. And, in many cases, must be preserved indefinitely. Predicting future data storage needs and the technologies to satisfy them may not be as exciting as downloading the latest app or playing a virtual reality game, but it is important to storage and media manufacturers, application developers, and all sizable users of data. Understanding future costs, technologies, and applications is vital to today’s planning and tomorrow’s success.

Spotlight

Despite Winston’s Churchill’s admonition to avoid predictions until after events occur, Spectra Logic is publishing its third annual Data Storage Outlook that casts an eye on the future regarding the storage, management and preservation of the world’s treasury of digital information. Knowledge and digital data play vital roles in our global society and, with the digital world exploding at unprecedented rates, digital information must be captured, leveraged and contained for years to come. And, in many cases, must be preserved indefinitely. Predicting future data storage needs and the technologies to satisfy them may not be as exciting as downloading the latest app or playing a virtual reality game, but it is important to storage and media manufacturers, application developers, and all sizable users of data. Understanding future costs, technologies, and applications is vital to today’s planning and tomorrow’s success.

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Agmatix | November 24, 2021

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RNDC and LibDib Expands Data Analytics Initiatives

RNDC | December 21, 2020

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