Healthcare Analytics, Population Health Management, Healthcare Big Data

Clinical Analytics

48% of Businesses, Including Healthcare, Face Big Data Skills Gap

by Jennifer Bresnick

Nearly half of the global business landscape, including the healthcare industry, are currently unable to find staff with the talent and skills to help them reach their big data analytics goals, according to a new survey from Teradata. While 96...

UVA Gene Mutation Research Method Speeds Precision Medicine

by Jennifer Bresnick

A team from the University of Virginia School of Medicine has developed a quicker way to examine the impact of gene mutation on patient health, potentially changing the way cancer labs conduct research into precision medicine and personalized...

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,...

Wearable Devices, Machine Learning Detect Signs of Stroke

by Jennifer Bresnick

A combination of wearable devices and a machine learning algorithm to interpret a common test for signs of stroke could provide an accurate and reliable way to identify patients with motor pathway damage, finds a study published this week in...

EHRs, Value-Based Care Constrain Personalized Medicine Progress

by Jennifer Bresnick

Oncologists are eager to embrace the potential of personalized medicine and genetically-driven precision therapies, but face many of the technical, administrative, and reimbursement challenges that afflict their peers in other specialties, finds...

ONC Highlights Its Precision Medicine Initiative Collaborations

by Jennifer Bresnick

The Precision Medicine Initiative (PMI) is alive and well at the Office of the National Coordinator, where partnerships with other key government agencies are laying the big data groundwork for more personalized care.  Collaborations with...

NIH to Bring Precision Medicine Data Collection to Patient Homes

by Jennifer Bresnick

Thousands of volunteers for the All of Us precision medicine cohort won’t even have to leave the comfort of their living rooms when contributing data to the project thanks to a new NIH collaboration with mobile medical service EMSI. The...

Next-Generation Genomics, Precision Medicine to Top $100B

by Jennifer Bresnick

The markets for next-generation genomic testing tools and precision medicine software and services will be worth more than $100 billion by 2022, according to a new series of market reports, propelled by breakthroughs in cancer care, big data...

IBM Watson Gets SNOMED CT Infusion to Enhance Data Analytics

by Jennifer Bresnick

IBM Watson is continuing its extensive medical education by adopting the SNOMED-CT clinical concept coding system to enhance its machine learning and data analytics.  The partnership between IBM Watson Health and SNOMED International, the...

SAP Joins Hyperledger, Building Healthcare Blockchain Momentum

by Jennifer Bresnick

Hyperledger, the cross-industry collaboration focused on operationalizing blockchain technology, is welcoming SAP to its ranks of “Premier” members, setting up an opportunity for another major companies with healthcare interests to...

Cancer Detection Company Gets $900M from Pharma, VC Investors

by Jennifer Bresnick

GRAIL, Inc., a precision medicine and life sciences company aiming to develop new very early detection techniques for cancer, has attracted more than $900 million in investment capital from some of the most well-known names in pharmaceutical...

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...

Continue to site...