Healthcare Analytics, Population Health Management, Healthcare Big Data

Predictive Analytics

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

February 23, 2018 - 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 analytics solutions to generate truly accurate clinical predictions. As the industry shifts to value-based care and organizations seek to extract more value...


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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 involved...

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 enthusiasts...

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 marked...

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 “Intelligent...

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 tick-borne...

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, says...

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 the...

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 MIT. Researchers...

How Big Data Analytics Underpins Every Healthcare Trend

by Jennifer Bresnick

While the concept of leveraging big data analytics has quickly moved from cutting-edge novelty to fundamental competency for healthcare organizations, many providers still struggle to turn information overload into actionable insight. The challenges...

IBM Watson, Quest Launch Genomic Cognitive Computing Partnership

by Jennifer Bresnick

IBM Watson Health and Quest Diagnostics have announced a new partnership that will bring Watson’s cognitive computing and genomic sequencing capabilities to a larger number of patients nationwide. The launch of “IBM Watson Genomics...

Natural Language Processing, AI to Foster Clinical Decision Tools

by Jennifer Bresnick

Clinical decision support (CDS) tools that feed on unstructured big data are in high demand from healthcare organizations seeking to improve care quality and gain a competitive edge over their peers.  Driven by rapid advances in artificial...

93% of Payers, Providers Say Predictive Analytics are the Future

by Jennifer Bresnick

Healthcare organizations will not be able to navigate the financial and clinical challenges of the future without investing in predictive analytics tools, said more than 90 percent of respondents to a Society of Actuaries (SOA) survey. The vast...

UPenn Uses Machine Learning, EHRs to Target Severe Sepsis

by Jennifer Bresnick

Researchers at the University of Pennsylvania Health System have developed a machine learning tool that helps predict patients at highest risk for developing severe sepsis, a common and fast-moving killer in the inpatient setting. Using electronic...

VA Falls Short on EHR Use to Document Suicide Risk, Prevention

by Jennifer Bresnick

Clinicians within the Department of Veterans Affairs are not sufficiently adhering to suicide prevention and treatment protocols for high-risk patients, according to a new report from the Office of the Inspector General (OIG). In a review of...

Google Using FHIR, Deep Learning for Healthcare Predictive Analytics

by Jennifer Bresnick

As part of Google’s ongoing quest to enhance the accuracy and usefulness of machine learning, researchers from the tech giant are expanding their partnerships with leading healthcare organizations to create more advanced predictive analytics....

Penn Med. Population Health Analytics Dashboard Wins ECRI Prize

by Jennifer Bresnick

A population health analytics dashboard that brings big data to the point of care has secured the ECRI Institute’s 11th Health Devices Achievement Award for the Penn Medicine Center for Health Care Innovation. The health IT tool, called...

VA, DOE Launch Healthcare Big Data, Machine Learning Project

by Jennifer Bresnick

The Department of Veterans Affairs and the Department of Energy are launching their joint initiative to foster the development of healthcare big data analytics, machine learning, and artificial intelligence in order to support population health...

Web-Based Health Risk Assessments Accurately Flag Depression

by Jennifer Bresnick

Web-based health risk assessments (HRAs) are an accurate and cost-effective way to screen patients for depression, finds a new study in the Journal of Medical Internet Research, allowing healthcare providers to proactively stratify high-risk...

Healthcare Business Intelligence, Big Data Tools Spark Investment

by Jennifer Bresnick

Healthcare organizations are actively seeking business intelligence and big data analytics tools that will help them get ahead in a tightly competitive marketplace, driving significant investment in infrastructure to support more efficient and...

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