Healthcare Analytics, Population Health Management, Healthcare Big Data

Clinical Analytics

NIH, Pharma Orgs Launch $215M Precision Medicine, Cancer Project

October 19, 2017 - The National Institutes of Health (NIH) has partnered with 11 biopharmaceutical companies to launch a five-year, public-private research collaboration focused on enhancing precision medicine approaches to cancer care. The $215 million Partnership for Accelerating Cancer Therapies (PACT) program springs from the national Cancer Moonshot initiative.  Participants will work to identify,...


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Early Adopters Question Usefulness, Maturity of AI in Healthcare

by Jennifer Bresnick

Adoption of business intelligence and clinical intelligence tools is on the rise as healthcare organizations equip themselves with the health IT infrastructure required to succeed with value-based care, yet healthcare organizations are still...

70% of Healthcare Execs Pin Growth to Big Data Analytics Skills

by Jennifer Bresnick

Healthcare organizations that successfully cultivate their big data analytics skills are anticipating a significant competitive advantage over those who fail to make the transition to the digital economy, reveals a new survey from SAP and Oxford...

Big Data Analytics, Population Health Top Executive Priority List

by Jennifer Bresnick

Big data analytics and population health management are among the top priorities for healthcare executives in 2018 as organizations attempt to navigate an uncertain regulatory landscape while improving the quality of care, according to the 2018...

California Gov. Establishes Precision Medicine Advisory Committee

by Jennifer Bresnick

In an effort to tap the rich academic and research resources of his state, California Governor Jerry Brown has formed the new Governor’s Advisory Committee on Precision Medicine, which will promote personalized approaches to patient...

Academia Dives into Precision Medicine, Big Data Collaborations

by Jennifer Bresnick

Precision medicine and big data research partnerships are proliferating in academia as teaching hospitals, university researchers, health IT vendors, and dedicated laboratories combine forces to tackle cancer, genetic diseases, and chronic conditions....

Open Source EHR Generator Delivers Healthcare Big Data with FHIR

by Jennifer Bresnick

Healthcare data analysts frustrated by the lack of access to large volumes of clean, trusted, and complete patient data can now take advantage of an open source EHR data generator platform called Synthea. One million synthetic patient records...

$240M IBM, MIT Artificial Intelligence Lab Has Healthcare Focus

by Jennifer Bresnick

Continuing its aggressive push into artificial intelligence in healthcare and elsewhere, IBM is working with MIT to invest $240 million over the next ten years in a collaborative laboratory environment dedicated to machine learning, cognitive...

Transparency is Key for Clinical Decision Support, Machine Learning Tools

by Jennifer Bresnick

Developers and vendors of clinical decision support tools, especially those based on machine learning, must be transparent about their methodologies, capabilities, data sources, and limitations if providers are to rely on their products, says...

Machine Learning 84% Accurate at Flagging Dementia within 2 Years

by Jennifer Bresnick

A machine learning algorithm using protein biomarkers to identify Alzheimer’s disease was able to accurately identify imaging studies of patients progressing into dementia 84 percent of the time, according to a new study published in the...

The Difference Between Clinical Decision Support, Big Data Analytics

by Jennifer Bresnick

Healthcare organizations have a lot of options to choose from when it comes to leveraging their growing big data assets.  From population health platforms and supply chain management tools to clinical decision support and business intelligence...

EHR Natural Language Processing Flags Social Determinant Search Terms

by Jennifer Bresnick

Applying natural language processing (NLP) techniques to the electronic health record can help providers identify key terms associated with the social determinants of health, says a new study out of Massachusetts General Hospital. Using QPID,...

Big Data Analytics Resource Center Takes Aim at Pediatric Cancer

by Jennifer Bresnick

The Center for Data Driven Discovery in Biomedicine at Children's Hospital of Philadelphia (CHOP) will use a $14.8 million NIH grant to explore the root causes of pediatric cancer and structure birth defects.  With the help...

Machine Learning to Fuel “Collective Intelligence” of Human Dx Project

by Jennifer Bresnick

Machine learning may soon make intelligent, informed healthcare decision-making power available to underserved and uninsured populations through an online global network of volunteer physicians called the Human Diagnosis (Dx) Project.  Supported...

How Big Data Analytics Underpins Every Healthcare Trend

by Jennifer Bresnick

While the concept of leveraging big data analytics has quickly moved from cutting-edge novelty to fundamental competency for healthcare organizations, many providers still struggle to turn information overload into actionable insight. The challenges...

Geisinger, Baylor Granted $3.5M for Patient Safety Learning Lab

by Jennifer Bresnick

Geisinger Health System and the Baylor College of Medicine have received a three-year, $3.5 million grant from the Gordon and Betty Moore Foundation to establish a patient safety learning lab focused on reducing harm and improving clinical accuracy....

Health Data Analytics a “Competitive Differentiator” for Payers

by Jennifer Bresnick

A robust and wide-ranging big data analytics strategy can be a “competitive differentiator” for health insurance payers seeking actionable insights to help them succeed with value-based care, says a new survey by Deloitte. Two out...

Data Mining, Big Data Analytics in Healthcare: What’s the Difference?

by Jennifer Bresnick

The healthcare industry is known for its overreliance on snappy-sounding buzzwords – and perhaps even more infamous for ever-so-slightly misusing them.  In the clinical environment, the correct interpretation of tiny subtleties could...

Artificial Intelligence, Genomics Combo Boosts Precision Medicine

by Jennifer Bresnick

The combination of artificial intelligence and genomic sequencing could significantly accelerate the development of precision medicine, researchers from the New York Genome Center (NYGC), The Rockefeller University, and IBM suggest in a...

Machine Learning Algorithm Outperforms Cardiologists Reading EKGs

by Jennifer Bresnick

A machine learning algorithm leveraging a multi-layered convolutional neural network exceeds the performance of human cardiologists when detecting a range of abnormal readings from standard electrocardiograms. Developed at Stanford, the algorithm...

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