Healthcare Analytics, Population Health Management, Healthcare Big Data

Analytics in Action News

MRI Images Created by AI Could Help Train Deep Learning Models

September 24, 2018 - Maybe it takes one to know one – and maybe it takes one to train one.  Researchers at the Mayo Clinic, NVIDIA, and the MGH & BWH Center for Clinical Data Science are exploring how to use MRI images generated by artificial intelligence to train a deep learning model designed to identify clinical abnormalities in imaging data. The research is aimed at overcoming the...


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Using Big Data, Machine Learning to Reduce Chronic Disease Spending

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Diabetes and heart disease are two of the most costly and prevalent chronic conditions impacting patients in the US, leading the healthcare industry to spend billions every year to treat and manage these disorders. As care delivery...

Arguing the Pros and Cons of Artificial Intelligence in Healthcare

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In what seems like the blink of an eye, mentions of artificial intelligence have become ubiquitous in the healthcare industry.  From deep learning algorithms that can read CT scans faster than humans to natural language processing...

Cigna Targets Data Analytics Innovation with $250M Venture Fund

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Cigna is planning to invest $250 million dollars in a new venture fund that will foster innovations around big data analytics, digital health strategies, and care management improvements. The new Cigna Ventures initiative will allow the...

Alexa, Siri NLP Skills Not Ready for Reliable Medical Conversations

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Alexa, Siri, Google Assistant, and other AI-driven virtual assistants may be useful tools for ordering rideshares and controlling smart homes, but these conversational computing systems are not quite ready for prime time when it comes to...

NJ Hospital Association Launches Big Data Analytics Center

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The New Jersey Hospital Association (NJHA) has launched a new center that will use big data analytics techniques to identify and address gaps in care. The NJHA Center for Health Analytics, Research, and Transformation (CHART) will apply...

10 High-Value Use Cases for Predictive Analytics in Healthcare

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As healthcare organizations develop more sophisticated big data analytics capabilities, they are beginning to move from basic descriptive analytics towards the realm of predictive insights. Predictive analytics may only be the second of...

Predictive Analytics to Explore Link between Opioids, Suicide Risk

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A three-year, $1.4 million Kaiser Permanente study will leverage predictive analytics and machine learning to understand the relationship between opioid use and suicide risk, allowing researchers to develop improved tools for identifying...

FDA Sets Goals for Big Data, Clinical Trials, Artificial Intelligence

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The FDA is turning to cost-effective strategies and big data to accelerate clinical trial efficiency, medical product development, and innovations in artificial intelligence, according to a recent blog post from FDA Commissioner Scott...

Data Analytics Support $62M in Next Generation ACO Savings

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Data analytics and other health IT tools played an integral role in helping Next Generation Accountable Care Organization (NGACO) Model generate net savings of approximately $62 million for the Medicare program, states a new report from...

Healthcare Artificial Intelligence Market to Top $34B by 2025

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The market for healthcare artificial intelligence tools is expected to surpass $34 billion by the middle of the 2020s, driven largely by a growing desire to automate tasks and harness deeper insights into clinical and financial issues,...

RI to Use All-Payer Claims Database for Quality, Cost Analytics

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The Peterson Center on Healthcare, the state of Rhode Island, and Brown University have announced the Rhode Island Healthcare Cost Trends Collaborative Project, in which researchers will study spending information from Rhode Island’s...

Deep Learning IDs Neurological Scans 150 Times Faster than Humans

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A deep learning platform designed to identify acute neurological conditions, including stroke, hemorrhage, and hydrocephalus, detected disease in CT scans in 1.2 seconds, or 150 times faster than human radiologists. Researchers at Mount...

Business Intelligence Newcomers Challenge Epic in Healthcare Market

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Epic has the deepest adoption of business intelligence capabilities among its customers, with clients leveraging the company’s predictive algorithms to improve decision support and patient outcomes. However, organizations are also...

How to Use Big Data Analytics to Boost Patient Engagement

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Patient engagement is a key element of quality healthcare delivery. In order for patients to maintain their well-being, they must take an active role in their care and understand what they must do to stay healthy. As wearable devices,...

Facebook, NYU Will Use Artificial Intelligence for Faster MRIs

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Facebook and NYU School of Medicine’s Department of Radiology have announced a new collaborative research project that will study the use of artificial intelligence (AI) to make MRI scans up to 10 times faster to complete. The...

MIT Machine Learning Tool Reduces Cancer Treatment Toxicity

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MIT researchers have developed a machine learning algorithm that could proactively adjust toxic chemotherapy and radiotherapy dosing for patients with glioblastoma to minimize the toxic effects of the treatments. Glioblastoma, an...

Google-Backed DeepMind Creates Deep Learning CDS for Eye Diseases

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Researchers from DeepMind, a UK-based artificial intelligence company owned by Google, are progressing towards a clinical decision support product that can accurately identify more than fifty eye diseases and provide treatment...

Predictive Analytics, EHR Data Identify Appointment No-Shows

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Using EHR data, organizations may be able to create predictive analytics models that accurately identify the risk of a patient appointment no-show, according to a new study published in JAMIA. Researchers from Duke University were able to...

Amazon, Google, IBM Pledge Health Data Standards, Interoperability

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Half a dozen of the biggest names in technology – Amazon, Google, Microsoft, Salesforce, IBM, and Oracle – have joined together to pledge speedy progress towards true health data interoperability. In a letter issued by the...

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