Healthcare Analytics, Population Health Management, Healthcare Big Data

Predictive Analytics

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

May 22, 2017 - 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 more than two dozen Veterans Health Administration (VHA) locations, the OIG found that clinicians often fail to document required treatment plans, follow-up...


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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...

Predictive Big Data Analytics Identify High-Risk ED Patients

by Jennifer Bresnick

Reducing unnecessary emergency department utilization and avoidable hospital admissions is a top priority for many healthcare systems, especially those seeking to cut costs and eliminate waste in preparation for value-based care.  While...

2016 “Most Wired” Excel at Population Health, Big Data Analytics

by Jennifer Bresnick

A robust population health management program, familiarity with telehealth, a focus on predictive analytics, and the delivery of a sterling patient experience are just some of features that this year’s crop of “Most Wired” hospitals...

Predictive Analytics, Healthcare IoT Lead EHR Market Growth

by Jennifer Bresnick

Electronic health record vendors looking to attract customers to the next generation of upgrades and installs will likely be relying on predictive analytics and the healthcare Internet of Things, according to a series of new market reports. ...

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