Healthcare Analytics, Population Health Management, Healthcare Big Data

Clinical Decision Support

Nearly 80% of Execs See ROI from Clinical Surveillance Tools

February 7, 2019 - Healthcare executives are generally seeing a return on investment (ROI) from their clinical surveillance tools, revealed a survey conducted by Sage Growth Partners (SGP) and commissioned by VigiLanz. However, some believe that solutions built into their electronic health records (EHRs) aren’t satisfying all their data analytics needs. Ninety-six percent of executives said they...


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Collaboration, Clinical Input Drive Analytics Innovation at UCHealth

by Jennifer Bresnick

As the healthcare industry comes to grips with the scale of disruption it will be facing over the next few years, a handful of forward-thinking organizations are aiming to lead the change instead of being swept along in its...

FDA Tackles Artificial Intelligence with New Software Review Plan

by Jennifer Bresnick

The FDA is moving quickly to ensure the development of a safe and effective artificial intelligence ecosystem in healthcare by releasing new documents intended to offer guidance to the health IT community. The agency has published a new...

Cerner Offers New Clinical Decision Support Toolkit for Opioid Safety

by Jennifer Bresnick

In 2016, just under 50,000 people died of an opioid-related overdose. Illegal substances such as heroin and fentanyl have taken an increasingly heavy toll on public health since the middle of the decade. But the National Institutes of...

Deep Learning Tool Matches Human Experts at Sleep Test Scoring

by Jessica Kent

A deep learning tool was able to replicate diagnostic scores for sleep staging, sleep apnea, and limb movements at a level of accuracy comparable to that of human clinicians, a study published in JAMIA revealed. Common sleep disorders...

Artificial Intelligence, Big Data Basics Lead Top 10 Stories of 2018

by Jennifer Bresnick

Healthcare professionals gearing up for a data-driven 2019 have spent the past year equipping themselves with the knowledge they need to succeed in a heavily digital environment. Readers of HealthITAnalytics.com couldn’t get enough...

Deep Learning Tool Could Offer MRI Clinical Decision Support

by Jessica Kent

Applying a deep learning model to knee magnetic resonance imaging (MRI) exams helped increase the accuracy and speed of knee injury classification, and could provide clinical decision support for radiologists, a study published in PLOS...

Satisfaction High with Epic, Cerner Clinical Surveillance Tools

by Jennifer Bresnick

Clinical surveillance tools are generally doing a good job of alerting providers to sudden patient downturns and delivering meaningful decision support, yet optimizing these health IT tools to produce positive results isn’t always...

Less Than 50% of Healthcare CIOs Have Strong Trust in their Data

by Jessica Kent

Healthcare CIOs reported a lack of strong trust in their data and low levels of self-service for making data-driven decisions, research from Dimensional Insight revealed. The organization surveyed 85 healthcare CIOs about the level of...

Hard Stops in EHRs, Clinical Decision Support Can Improve Care

by Jennifer Bresnick

Clinical decision support systems that use hard stops, in which a response is required before a user can move forward with a task, are associated with higher performance on both process and outcomes measures, according to a new study...

AI, User Experience Top Healthcare’s Data Analytics Priorities in 2019

by Jennifer Bresnick

Healthcare organizations that want to get ahead in 2019 will need to prioritize the use of artificial intelligence, virtualized care, and technologies that offer intuitive user experiences, according to Forrester’s predictions for...

Deep Learning for Medical Imaging Fares Poorly on External Data

by Jennifer Bresnick

A deep learning model trained to identify pneumonia on a contained sample of medical images was unable to achieve the same level of accuracy when let loose on data from external healthcare systems, according to a new study in PLOS...

AMIA Urges Continued Development of National AI Research Plan

by Jessica Kent

The American Medical Informatics Association (AMIA) has expressed approval of the direction and goals of the National Artificial Intelligence Research and Development Strategic Plan and recommended that federal authorities continue in the...

Top 5 Use Cases for Artificial Intelligence in Medical Imaging

by Jennifer Bresnick

Artificial intelligence and machine learning have captivate the healthcare industry as these innovative analytics strategies become more accurate and applicable to a variety of tasks. AI is increasingly helping to uncover hidden insights...

$1.2M AHRQ Grant Helps Montefiore Build AI CDS Tool for Lung Failure

by Jessica Kent

Montefiore Health System has received a $1.2 million grant from the Agency for Healthcare Research and Quality (AHRQ) to develop an artificial intelligence (AI) tool that will help clinicians identify a rare form of lung failure and offer...

MRI Images Created by AI Could Help Train Deep Learning Models

by Jennifer Bresnick

Maybe it takes one to know one – and maybe it takes one to train one.  Researchers at the Mayo Clinic, NVIDIA, and the MGH & BWH Center for Clinical Data Science are exploring how to use MRI images generated by...

Arguing the Pros and Cons of Artificial Intelligence in Healthcare

by Jennifer Bresnick

In what seems like the blink of an eye, mentions of artificial intelligence have become ubiquitous in the healthcare industry.  From deep learning algorithms that can read CT scans faster than humans to natural language processing...

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...

Adherence to Clinical Decision Support Cuts Costs by $1K Per Patient

by Jessica Kent

Adhering to a real-time clinical decision support system embedded in the EHR helped providers at Cedars-Sinai cut wasteful healthcare spending by almost $1000 per patient and improve patient outcomes, according to a study published in The...

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...

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