Healthcare Analytics, Population Health Management, Healthcare Big Data

Predictive Analytics

Predictive Analytics Models Accurately Forecast Flu Trends

January 22, 2019 - Predictive analytics models were able to forecast trends in influenza outbreaks with greater accuracy than historical baseline models. Led by biostatistician Nicholas Reich, researchers at the University of Massachusetts Amherst formed a group called the FluSight Network. The team compared the forecast accuracy of 20 predictive models to a historical baseline seasonal average, using...


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Rush Joins Select Few Hospitals with Stage 7 Analytics Maturity

by Jennifer Bresnick

Rush University Medical Center is the third health system in the nation to reach the top level of analytics maturity according to the relatively new HIMSS Adoption Model for Analytics Maturity (AMAM). Joining Duke Health and UNC Health...

Vanderbilt, GE Healthcare Partner for AI-Driven Immunotherapy

by Jennifer Bresnick

Vanderbilt University Medical Center (VUMC) and GE Healthcare have announced a new partnership aimed at applying artificial intelligence to developing immunotherapy for cancer patients. The five-year collaboration will create predictive...

IoT Adoption Tracks with Increased Spending on Population Health

by Jennifer Bresnick

The Internet of Things (IoT) is getting bigger every day as consumers and providers continue to adopt smart technologies and devices at a rapid clip. From wearable fitness trackers to ingestible sensors tucked into tiny pills, the IoT is...

Predictive Analytics, IoT Data Flag ED Visits, 30-Day Readmissions

by Jessica Kent

Predictive analytics fueled by data from the Internet of Things (IoT) could help providers detect patients at high risk of emergency department (ED) visits and 30-day hospital readmissions, according to a study published in JMIR Medical...

Machine Learning, EHR Data Predict High-Risk Surgical Patients

by Jessica Kent

Utilizing machine learning tools that leverage electronic health record (EHR) data from a single organization could help providers predict patients at high risk of surgical complications more accurately than traditional approaches, a study...

Predictive Analytics, EHR Big Data Reduce Sepsis Mortality by 18%

by Jessica Kent

At North Oaks Health System in Hammond, Louisiana, researchers have used big data from the Epic electronic health record (EHR) to develop a predictive analytics tool that has reduced sepsis mortality by 18 percent. According to the CDC,...

Geographic Data Analytics Identifies Health System Leakage Patterns

by Jessica Kent

Health systems with incomplete patient records can use geographic data to identify patients who may be receiving care at external organizations, which could improve care management and reduce system leakage, a study published in JMIR...

Top 4 Big Data Analytics Strategies to Reduce Hospital Readmissions

by Jessica Kent

Unplanned hospital readmissions are one of the costliest services in healthcare, with organizations shelling out billions each year on these frequently avoidable episodes. With the rise of value-based care initiatives, most notably...

Predictive Analytics with Claims Data Can Identify High-Cost Patients

by Jessica Kent

Payers may be able to identify future high cost patients by employing predictive analytics strategies to examine past claims,, according to a report from the Society of Actuaries (SOA). An individual’s spending history, prescription...

Machine Learning, Genomics Predict Risk of Aortic Aneurysm

by Jennifer Bresnick

The combination of machine learning tools and genomic data can help predict the risk of abdominal aortic aneurysm (AAA), one of the most frequently fatal heart conditions - and one that is most often diagnosed only after a patient’s...

At Montefiore, Artificial Intelligence Becomes Key to Patient Care

by Jennifer Bresnick

Artificial intelligence (AI) is the newest must-have technology for healthcare organizations seeking to get ahead of costly and clinically dangerous patient care issues while also gaining a competitive edge over their peers. Interest from...

NJ Hospital Association Launches Big Data Analytics Center

by Jessica Kent

The New Jersey Hospital Association (NJHA) has launched a new center that will use big data analytics techniques to identify and address gaps in care. The NJHA Center for Health Analytics, Research, and Transformation (CHART) will apply...

10 High-Value Use Cases for Predictive Analytics in Healthcare

by Jennifer Bresnick

As healthcare organizations develop more sophisticated big data analytics capabilities, they are beginning to move from basic descriptive analytics towards the realm of predictive insights. Predictive analytics may only be the second of...

Predictive Analytics to Explore Link between Opioids, Suicide Risk

by Jessica Kent

A three-year, $1.4 million Kaiser Permanente study will leverage predictive analytics and machine learning to understand the relationship between opioid use and suicide risk, allowing researchers to develop improved tools for identifying...

Business Intelligence Newcomers Challenge Epic in Healthcare Market

by Jessica Kent

Epic has the deepest adoption of business intelligence capabilities among its customers, with clients leveraging the company’s predictive algorithms to improve decision support and patient outcomes. However, organizations are also...

Predictive Analytics, EHR Data Identify Appointment No-Shows

by Jessica Kent

Using EHR data, organizations may be able to create predictive analytics models that accurately identify the risk of a patient appointment no-show, according to a new study published in JAMIA. Researchers from Duke University were able to...

Providers Embrace Predictive Analytics for Clinical, Financial Benefits

by Jessica Kent

Predictive analytics have the potential to enhance care delivery, improve patient outcomes, and reduce care costs, enticing more healthcare executives to explore the implementation of data-driven tools.   According to a recent survey...

DOE, NCI Developing AI, Big Data Tools to Advance Cancer Research

by Jessica Kent

The Department of Energy (DOE) together with the National Cancer Institute (NCI) will pursue three pilot projects that will develop artificial intelligence, big data analytics capabilities, and predictive modeling to enhance cancer...

EHR Data Fuels Accurate Predictive Analytics for Suicide Risk

by Jessica Kent

Combining electronic health record (EHR) data and results from a depression questionnaire can support a more accurate predictive analytics model that predicts suicide risk in the 90 days following a mental health visit, according to a new...

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