Healthcare Analytics, Population Health Management, Healthcare Big Data

Predictive Analytics

Natural Language Processing, AI to Foster Clinical Decision Tools

June 27, 2017 - 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 intelligence (AI) and natural language processing (NLP) techniques that can extract actionable insights from complex and varied data sets, the newest...


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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...

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...

UCSF, Intel Partner for Healthcare AI, Deep Learning Project

by Jennifer Bresnick

The University of California San Francisco and Intel Corporation have partnered to create a deep learning analytics platform that will deliver clinical decision support and predictive analytics capabilities to its users. The platform seeks to...

Challenges of Applying Predictive Analytics to Population Health

by Jennifer Bresnick

Healthcare providers are starting to become very familiar with the notion that data analytics can help to drive more informed clinical decision making, but organizations are largely still struggling to implement and leverage the big data tools...

Microsoft Takes on Blindness, Eye Care with AI, Machine Learning

by Jennifer Bresnick

A new international collaboration, headed by Microsoft, will explore the use of artificial intelligence and machine learning for preventing blindness and improving eye health for patients around the globe, the company announced this week. ...

Sepsis “Sniffer” Brings Predictive Analytics to Patient Safety

by Jennifer Bresnick

Sepsis stinks, but the Sepsis “Sniffer” Algorithm (SSA), a predictive analytics tool developed at the Mayo Clinic, is a promising tool for helping clinicians identify high-risk patients more quickly an accurately than manual methodologies....

Predictive Analytics, Accountable Care Markets to See Rapid Growth

by Jennifer Bresnick

Healthcare organizations seeking to equip themselves with the big data tools required for value-based care success are likely to drive significant investment in the predictive analytics and accountable care solutions markets, according to a series...

Natural Language Processing Markets Set to Grow in Healthcare

by Jennifer Bresnick

Natural language processing (NLP) is quickly becoming one of the foundational big data technologies that will allow healthcare to move forward with complex analytics, according to a series of market reports predicting significant growth for NLP...

Big Data, Artificial Intelligence, IoT May Change Healthcare in 2017

by Jennifer Bresnick

Artificial intelligence programs, the Internet of Things, and next-level big data analytics tools are likely to start producing a significant impact on healthcare delivery as early as 2017, say participants in a new Silicon Valley Bank survey. ...

Desire for Predictive Analytics Outpaces Hospital Investment

by Jennifer Bresnick

Predictive analytics may be at the top of the big data wish list for the majority of hospital executives, but few organizations currently have the knowhow, the budget, or the infrastructure tools to make it happen.  Even though 80 percent...

Project to Develop EHR Toolkit to Stem Readmissions

by Nathan Boroyan

About 95 percent of U.S. hospitals use electronic health records (EHR) for population health management, but the technology has yet to realize its full potential. A team from the Dartmouth Institute is working to change that. Led by Dartmouth...

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