Healthcare Analytics, Population Health Management, Healthcare Big Data

Clinical Decision Support

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

December 12, 2018 - 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 of artificial intelligence and big data analytics, both of which have advanced by leaps and bounds in recent months. Our “how to”...


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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...

Google-Backed DeepMind Creates Deep Learning CDS for Eye Diseases

by Jennifer Bresnick

Researchers from DeepMind, a UK-based artificial intelligence company owned by Google, are progressing towards a clinical decision support product that can accurately identify more than fifty eye diseases and provide treatment...

How Artificial Intelligence is Changing Radiology, Pathology

by Jessica Kent

Artificial intelligence and machine learning tools have the potential to analyze large datasets and extract meaningful insights to enhance patient outcomes, an ability that is proving helpful in radiology and pathology. Images obtained by...

Mount Sinai Launches Biomedical Blockchain Research Center

by Jessica Kent

Mount Sinai’s Icahn School of Medicine and the Institute for Next Generation Healthcare have launched the new Center for Biomedical Blockchain Research. The center will explore how to use decentralized, secure technologies to solve...

Clinical Decision Support from Dana-Farber Powers Cancer Care

by Jessica Kent

Experts at Dana-Farber Cancer Institute are partnering with Royal Philips to provide improved clinical decision support for cancer care. The incredibly complex nature of cancer, coupled with its many available treatment options, has long...

Deep Learning Tool Tops Dermatologists in Melanoma Detection

by Jessica Kent

A deep learning tool identified melanoma in dermoscopic images with more accuracy than dermatologists, according to a study published in the Annals of Oncology. The convolutional neural network (CNN) scored ten percent higher in terms of...

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