Healthcare Analytics, Population Health Management, Healthcare Big Data

Clinical Analytics

Administrative Support Atop Barriers to Nursing Informatics

February 22, 2017 - A growing body of evidence points to the benefits of nursing informatics to clinical decision-making, but a recent study of these healthcare professionals indicates they face challenges as a result of a lack of administrative support, resources, and planning. According to the HIMSS 2017 Nursing Informatics Workforce Survey, the largest barriers to success on the job reported were administrative...


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Administrative Support Atop Barriers to Nursing Informatics

by Thomas Beaton

A growing body of evidence points to the benefits of nursing informatics to clinical decision-making, but a recent study of these healthcare professionals indicates they face challenges as a result of a lack of administrative support, resources,...

Are Clinical Trials Diverse Enough to Ensure Patient Safety?

by Thomas Beaton

A new FDA report indicates that clinical trials may not be accurately representing real-world demographic patterns, leading to concerns that new drugs are not being accurately tested for patient safety and effectiveness.  Only 48 percent...

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...

Mismatched Symptoms Call EHR Data Integrity into Question

by Thomas Beaton

A new study published in JAMA this month indicates that EHR data may not be completely aligned with what patients report to their providers. Eye health researchers from Michigan Medical School investigating EHR data integrity found that just...

FDA Unveils Patient Safety Analytics Tool for Medical Research

by Thomas Beaton

Healthcare stakeholders will be able to engage in patient safety research projects by connecting to Sentinel, the FDA’s electronic monitoring system, Commissioner Robert M. Califf, MD, announced this week. The new Innovation in Medical...

Research Collaboration to Use Big Data for Diabetes Prevention

by Thomas Beaton

In an effort to improve the treatment and understanding of type 2 diabetes in various patient populations, a new collaboration between the Indiana Bioscience Research Institute (IBRI), Eli Lilly and Company, Roche Diagnostics, the Regenstrief...

Precision Medicine, Big Data Partnerships Will Enhance Treatment

by Jennifer Bresnick

The calendar year may be coming to its end, but the nation’s work on precision medicine is just getting started.  Spurred on by the continuing development of big data analytics techniques and pepped up by the landslide passage of the...

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...

Clinical Analytics Studies, Partnerships Target Personalized Care

by Jennifer Bresnick

Personalization isn’t just for online advertisements and shopping suggestions.  It is becoming a primary driver of healthcare innovations, too.  From tailored therapies based on precision medicine techniques to individualized...

American Heart Association Makes Moves for Precision Medicine

by Sara Heath

The American Heart Association has launched a cloud-based health data marketplace for cardiovascular research in Precision Medicine, according to a press release. The repository will ideally help cardiovascular researchers access a breadth of...

Cancer Moonshot Report Showcases Precision Medicine Progress

by Jennifer Bresnick

The Cancer Moonshot has made significant progress since its January launch, bringing together public and private precision medicine organizations in one of the largest concerted efforts to tackle the deadly disease, said Vice President Joe Biden...

Clinical Decision Support May Boost ID of Chronic Kidney Disease

by Jennifer Bresnick

EHR-based clinical decision support (CDS) tools, including risk assessments and patient registries, may be able to improve early detection of chronic kidney disease, according to a new study in the Journal of the American Board of Family Medicine,...

IBM Watson, Siemens Partner for Population Health Management

by Jennifer Bresnick

IBM Watson and Siemens Healthineers have announced a five-year partnership to bring data-driven population health management capabilities to a global health IT landscape that is quickly embracing value-based care.  The alliance will integrate...

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....

Precision Medicine, Genomics Partnership Boosts Big Data Sharing

by Nathan Boroyan

The Multiple Myeloma Research Foundation will contribute genomic and clinical data to the Genomic Data Commons, one of the National Cancer Institute’s centerpiece precision medicine projects, the organizations announced last week. The Genomic...

How Big Data Velocity Informs Population Health, Patient Safety

by Jennifer Bresnick

During many healthcare encounters, especially in the hospital setting, speed can be the difference between life and death.  Patients with serious conditions often require immediate interventions when vital signs drop or complications occur,...

Big Data Shows Gender-Based Medical Error, Patient Safety Patterns

by Jennifer Bresnick

Big data analytics tools are helping researchers at the Pennsylvania Patient Safety Authority (PSA) unearth patient safety patterns hidden within 2.5 million reports on medical errors and near-miss events. The PSA found that male and female patients...

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