Healthcare Analytics, Population Health Management, Healthcare Big Data

Machine Learning

HIMSS18 Is All About Artificial Intelligence in Healthcare

February 15, 2018 - The 2018 HIMSS Annual Conference and Exhibition will be opening in Las Vegas in just a few weeks’ time, bringing more than 40,000 of the nation’s healthcare IT vendors, providers, executives, educators and press together to discuss emerging trends and strategies in a rapidly evolving world. With hundreds of exhibitors and a packed schedule of educational sessions addressing everything...

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Liquid Biopsy, Machine Learning Can Detect Multiple Cancers

by Jessica Kent

A liquid biopsy test supported by a machine learning algorithm can accurately detect the presence and origin of several different cancers, opening up the possibility of less invasive and more precise testing, according to a blog post from NIH...

As Imaging Analytics Grows, Healthcare Orgs Should Proceed Cautiously

by Jessica Kent

Imaging analytics aided by artificial intelligence is rapidly expanding within the health IT sphere, but providers must assess their organizations and understand exactly how this technology will enhance the patient experience and reduce healthcare...

Machine Learning Complicates FDA Clinical Decision Support Guidance

by Jennifer Bresnick

The FDA’s recent guidance on classifying and regulating clinical decision support (CDS) systems is currently too ambiguous for developers to effectively follow, contends the the American Medical Informatics Association (AMIA) in a...

Machine Learning Underpins Predictive Analytics for Hypertension

by Jessica Kent

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 published...

Can Healthcare Avoid “Black Box” Artificial Intelligence Tools?

by Jennifer Bresnick

Artificial intelligence is taking the healthcare industry by storm as researchers share breakthrough after breakthrough and vendors quickly commercialize advanced algorithms offering clinical decision support or financial and operational aid....

Deep Learning, Big Data Fuel Medical Device for Predicting Seizures

by Jessica Kent

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 reliable...

CIOs: FHIR Has Potential, Blockchain Overhyped in Healthcare

by Jennifer Bresnick

Healthcare CIOs are proceeding cautiously with their health IT innovation projects as they balance industry hype around emerging technologies like blockchain with the promises of FHIR and big data analytics, according to a late 2017 survey of...

IoT, Machine Learning Integration Boosts Medicaid Patient Care

by Jessica Kent

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 and...

ONC: Artificial Intelligence Has Potential to Reshape Healthcare

by Jennifer Bresnick

Artificial intelligence is playing an increasingly important role in healthcare analytics and will continue to dramatically influence the development of clinical decision support and business intelligence, says a new report by JASON, commissioned...

Machine Learning, Imaging Analytics Predict Kidney Function

by Jennifer Bresnick

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 and...

Has Google Cracked EHR Speech Recognition for Medical Conversations?

by Jennifer Bresnick

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 speech...

Machine Learning Can Flag Adverse Drug Events in Unstructured Data

by Jennifer Bresnick

Applying natural language processing and machine learning techniques to unstructured data can help to identify adverse drug events (ADEs) in medical literature and social media postings, says a new article in JMIR Medical Informatics. With 92.7...

Artificial Intelligence to Make More Health Jobs Than it Eliminates

by Jennifer Bresnick

Some healthcare professionals might view artificial intelligence as a job-killer, but advanced machine learning may actually create more employment opportunities in the industry than it eliminates, according to a new report by Gartner. By 2020,...

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

by Jennifer Bresnick

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 Things...

Artificial Intelligence a “Low Priority” for Healthcare Orgs in 2018

by Jennifer Bresnick

Close to two-thirds of healthcare organizations are marking artificial intelligence deployments as low or very low priority in 2018, according to a new survey, indicating that AI may not be coming as quickly to the industry as some enthusiasts...

FDA Unveils Clinical Decision Support, Medical Device Guidance

by Jennifer Bresnick

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 other...

How Soon Will Healthcare Connect Machine Learning with Consumers?

by Jennifer Bresnick

Machine learning and artificial intelligence have taken the healthcare industry by storm as innovators offer tempting visions of sophisticated clinical decision support, smoother EHR workflows, and more intuitive consumer-provider relationships...

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

by Jennifer Bresnick

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 marked...

Amazon Machine Learning, Big Data Tools Have Healthcare Implications

by Jennifer Bresnick

Healthcare organizations looking to expand their big data analytics horizons will have more infrastructure, Machine-Learning-as-a-Service (MLaaS), and deep learning options thanks to a series of new product launches from Amazon. The bookseller-turned-innovation-juggernaut...


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