Healthcare Analytics, Population Health Management, Healthcare Big Data

Machine Learning

Artificial Intelligence in Healthcare: Augmentation or Companionship?

February 24, 2017 - Every year, the HIMSS Conference and Exhibition acts as a barometer for the health IT industry, reflecting the most promising trends and hottest buzzwords capturing the attention of regulators, developers, providers, and consultants. In 2015, “big data analytics” had just hit the scene as the must-have initiative for healthcare organizations.  In 2016, data collection started...


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Artificial Intelligence in Healthcare: Augmentation or Companionship?

by Jennifer Bresnick

Every year, the HIMSS Conference and Exhibition acts as a barometer for the health IT industry, reflecting the most promising trends and hottest buzzwords capturing the attention of regulators, developers, providers, and consultants. In 2015,...

IBM Watson Expands Role in Imaging Analytics, Population Health

by Jennifer Bresnick

ORLANDO – IBM Watson is continuing to make its presence felt in the healthcare industry by launching a slew of new machine learning and artificial intelligence initiatives focused on care coordination, advanced imaging analytics, and population...

Microsoft Revs Up Healthcare Artificial Intelligence Projects

by Jennifer Bresnick

Microsoft is getting very serious about bringing artificial intelligence into the healthcare system, launching a brand new research division and several development projects with provider groups and vendor partners. The company, better known...

Machine Learning Predicts Leukemia Remission with 100% Accuracy

by Jennifer Bresnick

Researchers at Indiana University-Purdue University Indianapolis have developed a machine learning algorithm that can correctly predict relapse rates for acute myelogenous leukemia (AML) with 90 percent accuracy – and remission rates 100...

EHR Sample Size Matters in Machine Learning, Predictive Analytics

by Jennifer Bresnick

With a large enough number of electronic health records, machine learning algorithms may be able to develop patient-specific predictive analytics for ICU patients that accurately forecast mortality rates, says a study in JMIR Medical Informatics...

Using Machine Learning to Target Behavioral Health Interventions

by Jennifer Bresnick

Behavioral healthcare has been getting a great deal of attention lately from health IT experts, and not just because of a growing recognition that good mental health is key to improving overall patients outcomes.  Behavioral health is one...

UCSF, Intel Partner for Healthcare AI, Deep Learning Project

by Jennifer Bresnick

The University of California San Francisco and Intel Corporation have partnered to create a deep learning analytics platform that will deliver clinical decision support and predictive analytics capabilities to its users. The platform seeks to...

Challenges of Applying Predictive Analytics to Population Health

by Jennifer Bresnick

Healthcare providers are starting to become very familiar with the notion that data analytics can help to drive more informed clinical decision making, but organizations are largely still struggling to implement and leverage the big data tools...

Bridging the Gap Between Big Data Science, Health IT Usability

by Jennifer Bresnick

The health IT landscape often seems starkly divided between two opposing camps: those who design elegant algorithms and regimented workflows in the idealized sterility of the R&D department, and those whose frenzied, frustrating daily experience...

What Will 2017 Bring for Healthcare Analytics, Interoperability?

by Jennifer Bresnick

After a tumultuous end to 2016, healthcare providers may be looking for a chance to catch their breath before diving back into solving some of the industry’s most intractable problems.  But the growing pressures of interoperability,...

Cleveland Clinic, IBM Watson Partner for Population Health

by Jennifer Bresnick

Cleveland Clinic and IBM Watson have agreed to a five-year collaboration to further their work on data-driven population health management, the two companies announced in a press release.  The project will aim to establish best practices...

Machine Learning-as-a-Service Poised for Healthcare Growth

by Jennifer Bresnick

Healthcare organizations interested in engaging in the world of semantic computing may be able to do with less effort and lower costs as the Machine Learning-as-a-Service (MLaaS) market grows from $480 million in 2015 to nearly $5.4 billion by...

Microsoft Takes on Blindness, Eye Care with AI, Machine Learning

by Jennifer Bresnick

A new international collaboration, headed by Microsoft, will explore the use of artificial intelligence and machine learning for preventing blindness and improving eye health for patients around the globe, the company announced this week. ...

EHR Data, Machine Learning Create Cost-Based Clinical Pathways

by Jennifer Bresnick

Healthcare organizations may be able to better identify variations in best practices for chronic disease management by utilizing EHR data and machine learning analytics to combine clinical and cost information, says a new article from Weill Cornell...

Mount Sinai Uses Machine Learning for Heart Imaging Analytics

by Jennifer Bresnick

Healthcare organizations are quickly pushing forward with the development of machine learning algorithms to tackle one of the toughest problems in big data: extracting and analyzing information from static images. In a study published this week...

UCSF to Develop Machine Learning for CDS, Imaging Analytics

by Jennifer Bresnick

The University of California San Francisco’s Center for Digital Health Innovation (CDHI) and GE Healthcare are partnering to develop a cache of machine learning algorithms and imaging analytics tools that can be used to provide clinical...

Using Big Data Analytics, Systems Engineering to Tackle Sepsis

by Jennifer Bresnick

Sepsis is a silent and shockingly effective killer, causing mortality in close to a third of patients, but researchers at North Carolina State University are planning to make big data analytics an even more powerful force than this insidious,...

Machine Learning, Artificial Intelligence Gain Healthcare Momentum

by Jennifer Bresnick

Big data is only as valuable as the applications used to process and present it – and those applications are starting to get eerily clever as developers get to grips with machine learning and artificial intelligence in the healthcare setting....

Imaging Analytics: The First Step to Personalized Medicine

by Michael Graetz

Across the healthcare industry, there is a rising demand for personalized medicine, including the desire to have better access, visibility and insight into patient records. Everyone in the ecosystem – patients, doctors, hospitals, insurers...

Semantic Computing, Predictive Analytics Need Reliable Metadata

by Jennifer Bresnick

As the healthcare industry reaches the saturation point of electronic health record adoption, and slowly moves past the pain of the implementation process, it may seem like the right time to stop thinking so much about hammering home basic data...

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