Healthcare Analytics, Population Health Management, Healthcare Big Data

Analytics in Action News

50% of Physicians Not Satisfied with Patient Data Access

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A recent Surescripts survey found that 50 percent of physicians think their patient data access could be much better, with many doctors citing improved access to medication adherence, prescription costs, and clinical history data as top...

Consumers Support AI in Healthcare More than Other Industries

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While the general public is more at ease with artificial intelligence (AI) being used in healthcare than in other industries, many consumers still worry about lack of human interaction and data security, according to a survey from SAS....

Chatbots May Be Healthcare’s Artificial Intelligence Entry Point

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Chatbots and virtual assistants may offer healthcare organizations a low-cost entry point into the burgeoning world of artificial intelligence, indicates a new cross-industry survey conducted by Spiceworks. By 2019, up to 40 percent of...

Former Telemedicine Leader Founds Artificial Intelligence Group

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Jonathan Linkous, founder and former CEO of the American Telemedicine Association (ATA), is taking on a new role as the leader of a trade group dedicated to exploring the potential of artificial intelligence in healthcare. The Partnership...

CVS Health Cuts Red Tape with Real-Time Prescription Cost Data

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Access to real-time data at the point of care may be one of the healthcare industry’s highest priorities, yet it remains one of its most elusive goals.  From interoperability issues, workflow barriers, and data aggregation woes...

Hashed Health Launches Blockchain Provider Identity Tool

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LAS VEGAS - Hashed Health has launched a provider credentialing solution that leverages blockchain to securely exchange information related to a clinician’s permissions to practice at a certain level or location, the industry...

Duke Health Achieves Stage 7 Maturity Score from HIMSS Analytics

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Duke Health is the first US institution to reach Stage 7 on the HIMSS Analytics Adoption Model for Analytics Maturity (AMAM), a companion to the popular EMRAM framework from HIMSS gauging electronic health record and health IT...

Ochsner Adopts Artificial Intelligence Tool from Epic Systems, Microsoft

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Louisiana-based Ochsner Health System has adopted a new artificial intelligence technology that provides early warning alerts for patients experiencing adverse health events. The predictive analytics platform, powered by cloud and AI...

EHR Data Mining, Patient Outreach Can Aid Hypertension Care

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Pairing EHR data mining with patient outreach and follow-up could be an effective way to identify patients with undiagnosed hypertension and support chronic disease management in underserved communities, according to a study published in...

AI for Imaging Analytics Intrigues Healthcare Orgs, Yet Starts Slow

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Healthcare organizations are developing a strong interest in leveraging artificial intelligence for enhanced imaging analytics, but are approaching investment and implementation a little more cautiously, says a new report from KLAS...

VA, DeepMind Partner for Machine Learning, Predictive Analytics

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The Department of Veterans Affairs (VA) recently announced a partnership with DeepMind to use machine learning as the foundation for developing predictive analytics tools. Patient deterioration while in the hospital accounts for 11...

EHR, Lab Data Support Pediatric AKI Analytics Dashboard

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At Phoenix Children’s Hospital, reducing the incidence and severity of acute kidney injury (AKI) is an exercise in elegant analytical simplicity.  Without extra funding, new vendors, or a massive organizational effort,...

CIOs Plan to Invest More in AI, Predictive Analytics, Big Data Tools

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Healthcare IT leaders are investing more time and money in predictive analytics tools because of their potential to improve population health and reduce care costs, but they will also have to invest in artificial intelligence and big data...

Big Data Analytics Fuels Penn State Precision Health Research

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Penn State researchers recently announced their plan to create a Digital Collaboratory for Precision Health Research that will leverage big data analytics to boost individualized care. Project collaborators hope to develop a secure health...

Machine Learning Underpins Predictive Analytics for Hypertension

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A predictive analytics model using machine learning to extract patient EHR data effectively predicted patients at high-risk for hypertension and could ultimately improve care quality and reduce healthcare costs, according to a study...

Deep Learning, Big Data Fuel Medical Device for Predicting Seizures

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A medical device using deep learning to analyze long-term neural data could effectively predict seizures in patients with epilepsy and reduce their disease burden, according to a study published in eBioMedicine. Developing accurate and...

Yale, Epic Partner to Boost Healthcare with Big Data Analytics

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Yale New Haven Hospital (YNHH) has announced a partnership with Epic Systems to launch the Capacity Command Center (CCC) that will combine data analytics and the physical co-location of key operational services to enhance patient...

IoT, Machine Learning Integration Boosts Medicaid Patient Care

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Applying smart technology like the Internet of Things (IoT) and machine learning to Medicaid systems can drive better care for patients, according to a recent Deloitte report. Medicaid agencies could consider integrating connected devices...

EHR Natural Language Processing Identifies Care Guideline Adherence

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Using natural language processing (NLP) can help providers measure the quality of heart failure inpatient care by extracting key data from the electronic health record (EHR) and monitoring adherence to clinical guidelines, according to a...

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