Healthcare Analytics, Population Health Management, Healthcare Big Data

Analytics in Action News

How Healthcare Big Data Analytics Helps Build Smart Societies

August 14, 2017 - Healthcare providers often have little choice but to focus completely on conquering the constant stream of EHR grunt work, reporting requirements, and minor administrative emergencies that make up the majority of day-to-day practice.  While it may sometimes be difficult to see how the daily burdens of checking boxes on quality assessments or scrutinizing reports on patient flow metrics...


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Healthcare Artificial Intelligence, Cognitive Tools Bring Big Investments

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Artificial intelligence and cognitive computing systems may be attracting a lot of hype across the healthcare industry, but the developers of these innovative data analytics techniques are already cashing in on their promises as forward-thinking...

Illinois to Use Blockchain for Healthcare Credential Management

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The Illinois Blockchain Initiative is partnering with industry coalition Hashed Health to explore how to apply distributed ledger technology to the complex issue of managing credentials and licensure for healthcare professionals. The pilot program...

Can Artificial Intelligence Relieve Electronic Health Record Burnout?

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Healthcare providers still facing frustrations years after switching to electronic health records (EHRs) may soon find some relief from burnout as artificial intelligence moves closer to reality, suggests a viewpoint article published in JMIR...

Hashed Health Blockchain Consortium Grows with Change Healthcare

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Blockchain is quickly finding its footing in the healthcare industry as more and more stakeholders join collaborations aimed at bringing the distributed data management technology to the health IT world.  Change Healthcare is the latest...

Missouri Gov. Creates State Prescription Drug Monitoring Program

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Governor Eric Greitens has signed an executive order creating a prescription drug monitoring program (PDMP) for Missouri.  The new initiative, intended to help fight the spiraling opioid epidemic, means that Missouri has finally joined the...

Data Mining, Big Data Analytics in Healthcare: What’s the Difference?

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The healthcare industry is known for its overreliance on snappy-sounding buzzwords – and perhaps even more infamous for ever-so-slightly misusing them.  In the clinical environment, the correct interpretation of tiny subtleties could...

Machine Learning Algorithm Outperforms Cardiologists Reading EKGs

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A machine learning algorithm leveraging a multi-layered convolutional neural network exceeds the performance of human cardiologists when detecting a range of abnormal readings from standard electrocardiograms. Developed at Stanford, the algorithm...

Hyperledger Brings Healthcare Blockchain Closer with Fabric 1.0

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Developers interested in bringing blockchain applications to the healthcare industry have a new arrow in their quiver with the release of Hyperledger Fabric 1.0.0, the first publically available version of the consortium’s open source blockchain...

Machine Learning in Healthcare: Defining the Most Common Terms

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After a slow and unsteady beginning at the start of the decade, the healthcare industry is finally becoming somewhat more comfortable with the idea that learning to live with big data is the only way to see financial and clinical success in the...

Mount Sinai Creates Imaging Data Warehouse for Precision Medicine

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Mount Sinai Health System has created a centralized imaging research warehouse (IRW) able to integrate clinical images with deidentified electronic health record (EHR) data. The project, developed by Mount Sinai’s Translational and Molecular...

84% of Execs: Artificial Intelligence Will Transform Healthcare

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More than 80 percent of healthcare executives polled by Accenture believe that artificial intelligence is on track to completely revolutionize healthcare, and a similar number believe that the advent of machine learning and digital healthcare...

Video Analytics, Machine Learning Can Aid Mental Healthcare

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Mental healthcare is one of the most complex fields of clinical study, requiring providers to blend the regulation of physiological functions with the delicate nuances of psychological and emotional distress.  Understanding what a patient...

Provider Coalition to Use Machine Learning for Type 1 Diabetes

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A three-year collaboration between several top healthcare providers will leverage machine learning techniques to improve the identification and treatment of Type 1 diabetes.  Funded by a grant from the Leona M. and Harry B. Helmsley Charitable...

Artificial Intelligence Could Take Over Surgical Jobs by 2053

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Robots are already a familiar sight for surgeons in many operating rooms, but there is a good chance that artificial intelligence will eventually render its human colleagues obsolete.  In a survey of machine learning and AI experts, researchers...

IBM Watson’s Cognitive Computing Rivals Human Oncologists

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IBM Watson’s cognitive computing skills are getting even sharper as the supercomputer continues to develop its diagnostic and clinical decision support abilities.  At the ASCO 2017 conference this week, IBM announced that Watson has...

UPenn Uses Machine Learning, EHRs to Target Severe Sepsis

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Researchers at the University of Pennsylvania Health System have developed a machine learning tool that helps predict patients at highest risk for developing severe sepsis, a common and fast-moving killer in the inpatient setting. Using electronic...

IBM, Rensselaer Open Cognitive Computing Center for Chronic Disease

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IBM and Rensselaer Polytechnic Institute have announced a five-year collaboration centered on applying advances in cognitive computing and machine learning to healthcare. The Center for Health Empowerment by Analytics, Learning, and Semantics...

Google Using FHIR, Deep Learning for Healthcare Predictive Analytics

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As part of Google’s ongoing quest to enhance the accuracy and usefulness of machine learning, researchers from the tech giant are expanding their partnerships with leading healthcare organizations to create more advanced predictive analytics....

Online Map Reveals Geographic Disparities in Care for Autism

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Research from the Journal of Medical Internet Research used crowdsourcing and data scraping methods to create an online map that revealed significant geographical disparities in care for individuals with autism. The interactive GapMap, created...

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