Healthcare Analytics, Population Health Management, Healthcare Big Data

Predictive Analytics

Predictive Analytics, EHR Data Identify Appointment No-Shows

August 14, 2018 - 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 capture 4819 previously unidentified patient no-shows within the Duke health system, which may allow care sites to operate more efficiently and...


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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...

Artificial Intelligence a “Low Priority” for Healthcare Orgs in 2018

by Jennifer Bresnick

Close to two-thirds of healthcare organizations are marking artificial intelligence deployments as low or very low priority in 2018, according to a new survey, indicating that AI may not be coming as quickly to the industry as some...

Big Data, FHIR, Machine Learning Dominate Top 10 Stories of 2017

by Jennifer Bresnick

2017 has been a huge year for fans of healthcare data analytics.  From the growing fascination with machine learning to the ongoing maturity of FHIR and aggressive vendor investments in population health and decision support, 2017 has...

Artificial Intelligence Will Be Foundational for Health IT in 2018

by Jennifer Bresnick

In the healthcare industry and elsewhere, artificial intelligence is poised to become the defining feature of how humans interact with their technology, according to Gartner.  An AI foundation will underpin the burgeoning...

Predictive Analytics, AI for Lyme Disease Gets $800K NSF Grant

by Jennifer Bresnick

Researchers at UCLA and Claremont McKenna College will use a three-year, $800,000 grant from the National Science Foundation (NSF) to explore the application of predictive analytics, artificial intelligence, and precision medicine to...

Transparency is Key for Clinical Decision Support, Machine Learning Tools

by Jennifer Bresnick

Developers and vendors of clinical decision support tools, especially those based on machine learning, must be transparent about their methodologies, capabilities, data sources, and limitations if providers are to rely on their products,...

Machine Learning 84% Accurate at Flagging Dementia within 2 Years

by Jennifer Bresnick

A machine learning algorithm using protein biomarkers to identify Alzheimer’s disease was able to accurately identify imaging studies of patients progressing into dementia 84 percent of the time, according to a new study published in...

MIT Uses Deep Learning to Create ICU, EHR Predictive Analytics

by Jennifer Bresnick

Deep learning, a variant of machine learning that aims to mimic the decision-making structure of the human brain, can help to supplement the skills of critical care clinicians, according to a pair of new research papers from...

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