Healthcare Analytics, Population Health Management, Healthcare Big Data

Tools & Strategies News

Can Healthcare Exploit the $7 Trillion Internet of Everything?

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Over the past few years, the Internet of Things has piqued the healthcare industry’s interest as providers continue the search for nimble, accessible, and engaging big data tools to streamline the care delivery process. But providers and...

Blockchain, Artificial Intelligence, FHIR Dominate 2016 Headlines

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Every year seems to be a transitional year for the healthcare industry, but 2016 had more than its fair share of major changes, new ideas, and stunning events to talk about.  From big data analytics and artificial intelligence to a growing...

Can Blockchain Give Healthcare Payers Better Analytical Insight?

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Blockchain may be starting to settle in to the financial industry as a secure methodology for tracking and approving transactions, but its use cases for other sectors, including the healthcare market, are not yet quite as clear. Population health...

The 2016 Holiday IT Wish List for Healthcare Big Data Pros

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As families all over the country surreptitiously dump the last of their aging Thanksgiving leftovers in the garbage pail, children and adults alike are starting to turn their attention to compiling their holiday wish lists. Electronic toys...

Predictive Analytics, Accountable Care Markets to See Rapid Growth

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Healthcare organizations seeking to equip themselves with the big data tools required for value-based care success are likely to drive significant investment in the predictive analytics and accountable care solutions markets, according to a series...

Mount Sinai Uses Machine Learning for Heart Imaging Analytics

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Healthcare organizations are quickly pushing forward with the development of machine learning algorithms to tackle one of the toughest problems in big data: extracting and analyzing information from static images. In a study published this week...

UCSF to Develop Machine Learning for CDS, Imaging Analytics

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The University of California San Francisco’s Center for Digital Health Innovation (CDHI) and GE Healthcare are partnering to develop a cache of machine learning algorithms and imaging analytics tools that can be used to provide clinical...

CMS: New API Will Automate MACRA Quality Measure Data Sharing

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The MACRA Quality Payment Program (QPP) is getting its very own application programming interface (API) to automate the process of sharing electronic data on quality measures, CMS announced today.  The new tool is the first of several efforts...

Healthcare CIOs Turning to Data Analytics for Business Intelligence

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Big data analytics and business intelligence tools are a top priority for CIOs in the healthcare industry, says data from a Harvey Nash and KPMG survey, as organizations seek to improve efficiencies and generate actionable insights for decision-making...

Using Big Data Analytics, Systems Engineering to Tackle Sepsis

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Sepsis is a silent and shockingly effective killer, causing mortality in close to a third of patients, but researchers at North Carolina State University are planning to make big data analytics an even more powerful force than this insidious,...

Blockchain, APIs Take a Stab at the Healthcare Revenue Cycle

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Capital One is hoping to bring the blockchain and API tools to the healthcare industry by proving their value in the revenue cycle management arena.  A pair of new partnerships between the financial services company and healthcare-focused...

Natural Language Processing Markets Set to Grow in Healthcare

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Natural language processing (NLP) is quickly becoming one of the foundational big data technologies that will allow healthcare to move forward with complex analytics, according to a series of market reports predicting significant growth for NLP...

Blockchain, IoT, Artificial Intelligence Poised to Shake Up Healthcare

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Only a few short years ago, healthcare organizations were wondering what exactly “big data” was and why they had to care about it.  As the industry moves into 2017, they might have similar questions about the definitions of terms...

EHR Vendors Increasingly Offering Population Health Tools

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The lines between the EHR and population health management marketplaces are becoming less distinct as health IT vendors start to deliver offerings that tackle both documentation and patient management, according to a new market report from IDC...

97% Say Big Data Analytics Crucial for Healthcare Benefit Choices

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Ninety-seven percent of human resources professionals believe that big data analytics are “essential” for making organizational decisions about healthcare benefits and wellness programs, according to a new poll from Geneia and the...

Smart Big Data is Key to Population Health, Value-Based Care

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Big data is everywhere in the healthcare industry, flooding in by the gigabyte each time a patient seeks care from a provider.   From intake to discharge and every step in between, a patient’s data determines what will happen,...

Machine Learning, Artificial Intelligence Gain Healthcare Momentum

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Big data is only as valuable as the applications used to process and present it – and those applications are starting to get eerily clever as developers get to grips with machine learning and artificial intelligence in the healthcare setting....

How Does the ONC Define HIE, Value-Based Care, Population Health?

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The new ONC Health IT Playbook contains a wealth of resources and information for healthcare organizations in various stages of reform.  From the very beginning stages of negotiating an EHR purchase to the complex integration of multiple...

Chief Nurse Informaticists Tackle EHRs, Big Data Analytics

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Nurse informaticists often work behind the scenes of the healthcare big data analytics landscape, fine-tuning electronic health records, overseeing data reporting tools, and training nurses and other staff members to use data to its fullest potential....

ONC Playbook Breaks Down Health IT, EHR Tasks and Buzzwords

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The healthcare industry seems to be largely driven by buzzwords: quick and snappy phrases that reduce complex, difficult, expensive and often confusing initiatives into keywords that may not mean much to the uninitiated.  From big data and...

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