Healthcare Analytics, Population Health Management, Healthcare Big Data

Predictive Analytics

Predictive Analytics with Claims Data Can Identify High-Cost Patients

October 11, 2018 - 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 drug coverage history, age, and gender are the most significant predictors of whether or not a person is likely to incur high costs in the...


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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...

Machine Learning, EHR Big Data Analytics Predict Sepsis

by Jessica Kent

Researchers at Carnegie Mellon University’s (CMU) Heinz College are applying a machine learning algorithm to big data in the electronic health record (EHR) to more accurately predict sepsis, one of the most dangerous and insidious...

Top 12 Ways Artificial Intelligence Will Impact Healthcare

by Jennifer Bresnick

The healthcare industry is ripe for some major changes.  From chronic diseases and cancer to radiology and risk assessment, there are nearly endless opportunities to leverage technology to deploy more precise, efficient, and impactful...

Aetna Grant Helps PA Expand Opioid Data Analytics Dashboard

by Jessica Kent

The Aetna Foundation and the University of Pittsburgh Graduate School of Public Health recently announced a $1 million partnership to build on the Opioid Data Dashboard, part of Pennsylvania Governor Tom Wolf’s initiative to combat...

Duke Health Achieves Stage 7 Maturity Score from HIMSS Analytics

by Jessica Kent

Duke Health is the first US institution to reach Stage 7 on the HIMSS Analytics Adoption Model for Analytics Maturity (AMAM), a companion to the popular EMRAM framework from HIMSS gauging electronic health record and health IT...

Ochsner Adopts Artificial Intelligence Tool from Epic Systems, Microsoft

by Jennifer Bresnick

Louisiana-based Ochsner Health System has adopted a new artificial intelligence technology that provides early warning alerts for patients experiencing adverse health events. The predictive analytics platform, powered by cloud and AI...

VA, DeepMind Partner for Machine Learning, Predictive Analytics

by Jessica Kent

The Department of Veterans Affairs (VA) recently announced a partnership with DeepMind to use machine learning as the foundation for developing predictive analytics tools. Patient deterioration while in the hospital accounts for 11...

EHR, Lab Data Support Pediatric AKI Analytics Dashboard

by Jennifer Bresnick

At Phoenix Children’s Hospital, reducing the incidence and severity of acute kidney injury (AKI) is an exercise in elegant analytical simplicity.  Without extra funding, new vendors, or a massive organizational effort,...

CIOs Plan to Invest More in AI, Predictive Analytics, Big Data Tools

by Jessica Kent

Healthcare IT leaders are investing more time and money in predictive analytics tools because of their potential to improve population health and reduce care costs, but they will also have to invest in artificial intelligence and big data...

Population Health is Top Data Analytics Challenge for Providers, Payers

by Jennifer Bresnick

Healthcare payers and providers are focusing their big data analytics work on population health management says a new survey conducted by Deloitte on behalf of NEJM Catalyst, but have yet to overcome many of the major challenges...

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