Healthcare Analytics, Population Health Management, Healthcare Big Data

Machine Learning

UCSF, Intel Partner for Healthcare AI, Deep Learning Project

January 19, 2017 - 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 harness the power of innovative big data sources, including information from genomic sequencing, the Internet of Things, and medical devices. “While...


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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...

Imaging Analytics Get Big Data Boost from New Partnerships

by Jennifer Bresnick

Diagnostic data from imaging studies such as x-rays, MRIs, and CAT scans is usually locked away in the images themselves, or in accompanying free-text reports attached as PDFs to electronic medical records.  However, a series of new partnerships...

Top 4 Basics to Know about Semantic Computing in Healthcare

by Jennifer Bresnick

Investing in big data analytics is a problematic proposition for many healthcare organizations, which often face the perennial issue of purchasing technologies that become outdated before the implementation process is even finished.  New...

How Semantic Data Analytics Benefits Population Health Management

by Jennifer Bresnick

When it comes to the complexities patient care, there will always be more questions than answers.  Clinicians and researchers are discovering new diseases on a regular basis, reclassifying conditions and treatments, and expanding their understanding...

Semantic Big Data Lakes Can Support Better Population Health

by Jennifer Bresnick

The healthcare industry is currently holding its breath as it waits to see how CMS will adjust the final Stage 3 meaningful use rule in response to stakeholder complaints about the maturity of EHRs and big data analytics technologies, but not...

IBM Boosts Big Data, Imaging Knowhow with $1B Merge Acquisition

by Jennifer Bresnick

IBM continues to make big moves into the healthcare big data analytics space, leveraging its Watson supercomputing platform to provide clinical decision support and machine learning services to a growing number of stakeholders.  In a press...

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