Healthcare Analytics, Population Health Management, Healthcare Big Data

Analytics in Action News

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...

EHR Timestamp Data Can Help Monitor, Improve Clinical Workflows

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Organizations can use EHR timestamp data to improve clinical workflows by approximating the time it takes to complete common tasks. The data may be able to help providers with refining scheduling methods, analyzing EHR use, and quantifying...

Machine Learning, Imaging Analytics Predict Kidney Function

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Machine learning and imaging analytics from renal biopsies can help to predict how long a kidney will function adequately in patients with chronic kidney damage, says a study published in Kidney International Reports. Using deep learning...

Adopting Big Data Analytics, Precision Medicine Drives Quality Care

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The successful adoption of technological innovations in big data analytics, precision medicine, and digital health will increase quality care, according to a health policy statement from the American College of Cardiology (ACC). During an...

Has Google Cracked EHR Speech Recognition for Medical Conversations?

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Healthcare providers ready to throw their laptops out the window rather than spend another minute documenting care in their electronic health records may be pleased to know that Google is taking on the challenge of developing unobtrusive...

Big Data, Clinical Intelligence Markets to See Major Growth

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As consumers, regulators, and health insurers expect more and more from the provider community, healthcare delivery organizations are actively seeking out a new generation of clinical intelligence and big data analytics tools to equip them...

40% of CIOs to Deploy a Healthcare Analytics Platform in 2018

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Forty percent of hospital CIOs plan to make launching of enterprise healthcare analytics platforms a top priority in 2018, according to a Spok survey of CHIME members. The survey results indicate that CIOs continue to face widespread...

PwC: Artificial Intelligence, IoT, Population Health Top 2018 Trends

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2018 is set to be another big year for healthcare organizations as they start to come to terms with emerging technologies, like artificial intelligence, while mastering the complexities of population health management, the Internet of...

FDA Unveils Clinical Decision Support, Medical Device Guidance

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The Food and Drug Administration (FDA) has released three new guidance documents aimed at helping developers and vendors better understand how to create effective and safe clinical decision support tools, medical device applications, and...

Big Data, FHIR, Machine Learning Dominate Top 10 Stories of 2017

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2017 has been a huge year for fans of healthcare data analytics.  From the growing fascination with machine learning to the ongoing maturity of FHIR and aggressive vendor investments in population health and decision support, 2017 has...

Optum Seeks Healthcare Big Data, AI Start-Ups with $250M Fund

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A new $250 million venture fund from Optum, the health services and analytics arm of UnitedHealthcare, will offer innovative big data and artificial intelligence start-ups the opportunity to grow quickly in a crowded, highly competitive...

Business Intelligence Tools Bring Insights to Organ Donation Network

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Many healthcare provider organizations have made the adoption of business intelligence tools a top priority, but they are not the only members of the vast and varied care continuum in search of actionable big data insights. The...

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