Healthcare Analytics, Population Health Management, Healthcare Big Data

EHR Analytics

Google Using FHIR, Deep Learning for Healthcare Predictive Analytics

May 18, 2017 - As part of Google’s ongoing quest to enhance the accuracy and usefulness of machine learning, researchers from the tech giant are expanding their partnerships with leading healthcare organizations to create more advanced predictive analytics. Collaborations with the University of Chicago, Stanford University, and UC San Francisco are leveraging deep learning alongside innovative data...


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Cerner Pilot Uses Population Health Analytics for Chronic Care

by Jennifer Bresnick

Truman Medical Centers (TMC) in Missouri have teamed up with Cerner Corporation to develop a new set of population health analytics algorithms to support a comprehensive chronic care management program for patients. The pilot program leverages...

KLAS: Epic Systems, Cerner Lead EHR Vendors in Sepsis Analytics

by Jennifer Bresnick

Hospitals searching for clinical analytics and patient surveillance tools for combating sepsis give high marks to functionalities provided by Epic Systems and Cerner Corporation, KLAS Research says in a new report.  The two competitors,...

Epic Systems Integrates Geisinger Population Health Toolkit

by Jennifer Bresnick

Care management content provided by xG Health Solutions, powered by Geisinger, will be available within Epic’s Healthy Planet product, allowing users to access evidence-based care guidelines, patient assessment frameworks, and care plans...

Data Governance Key to Hospital’s Natural Language Query Project

by Jennifer Bresnick

Whether inside or outside of the hospital, data is everywhere – and consumers of data are getting used to a certain level of speed, accuracy, and trustworthiness when they ask questions of Google, Siri, or Cortana.  In everyday life,...

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...

Epic EHR, Big Data Tools Bring 2016 HIMSS Davies Award to Mercy

by Thomas Beaton

Mercy, a large Catholic health system headquartered in Missouri, is the winner of the 2016 Nicholas E. Davies Award of Excellence, HIMSS announced.  Mercy has developed big data analytics dashboards within its Epic EHR to help providers...

Population Health Tool Using EHR Data Reduces HIV Impact in MA

by Jennifer Bresnick

Public health officials in Massachusetts are working to create an interoperable population health management system using EHR data to identify and engage HIV patients at risk of falling away from recommended treatment protocols. The system, called...

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...

Project to Develop EHR Toolkit to Stem Readmissions

by Nathan Boroyan

About 95 percent of U.S. hospitals use electronic health records (EHR) for population health management, but the technology has yet to realize its full potential. A team from the Dartmouth Institute is working to change that. Led by Dartmouth...

Is Gene Therapy a False Trail for Precision Medicine Research?

by Jennifer Bresnick

Gene therapy researchers aiming to create precision medicine treatments may be heading in the wrong direction, according to an editorial published last month in the Journal of the American Medical Association, and should not be the only areas...

EHRs Can’t Keep Up with Healthcare Analytics Abilities, Needs

by Jennifer Bresnick

The electronic health record simply isn’t evolving quickly enough to keep up with rapid innovations in healthcare big data analytics and the increasingly complex needs of end-users, says an editorial published in the Journal of the American...

Mental Health Care Disparities Impact Population Health

by Jacqueline Belliveau

Some of the biggest challenges that healthcare providers face when developing effective population health management strategies include racial and ethnic care disparities and integrating mental and physical health. Based on the finds of a new...

EHR Analytics Advance Population Health Management of the Flu

by Jacqueline Belliveau

Many healthcare providers and researchers often wonder how to leverage large volumes of big data to improve population health management programs, such as flu surveillance initiatives. A recent study published in Scientific Reports found that...

CDC Announces Eight Patient Safety Improvement Awards

by Jacqueline Belliveau

Eight hospitals and healthcare systems have been recognized as 2015 Healthcare-Associated Venous-Thromboembolism (HA-VTE) Prevention Champions for their patient safety initiatives that reduced the rate of HA-VTE, according to a recent press release....

ONC, NIH Launch S4S Program for Precision Medicine Research

by Jacqueline Belliveau

The National Institutes of Health (NIH), in collaboration with the ONC, announced the launch of the new Sync for Science (S4S) program, a pilot initiative that permits individuals to access to their EHR data and send it to researchers, according...

How Federal Health IT Work Paves the Way for Big Data Analytics

by Jennifer Bresnick

Just like “population health management” and the “Internet of Things,” the phrase “big data analytics” means something a little bit different to everyone.  For large hospitals and health systems, it may...

Limits of Big Data Analytics Pose Challenges to Patient Safety

by Jacqueline Belliveau

In a report to Congress, the Government Accountability Office (GAO) found hospitals face three major challenges with implementing evidence-based patient safety practices, including limitations with integrating, sharing, and analyzing big data....

Big Data Analytics Show More Sepsis Deaths in Large Hospitals

by Jacqueline Belliveau

Researchers are using big data analytics to better understand the signs and symptoms of sepsis, which may be able to help physicians treat and manage patients more effectively. In a study published in the journal Medical Care, a team from Houston...

EHR Big Data Analytics Flag “Frequent Flier” Medicaid ED Visits

by Jennifer Bresnick

Medicaid patients with a history of multiple emergency department visits within a 72-hour period are three times more likely than other patients to return to the emergency department yet again, according to a new study published this month in...

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