Skip to main content

Artificial Intelligence

By Adam Ang | 03:49 am | January 19, 2024
Also, New Zealand's Ministry of Health has come out with two new vaccination management tools.
By Mike Miliard | 12:03 pm | January 18, 2024
The goals of the partnership include "reducing radiologists' burnout, streamlining workflow, and ultimately improving the quality of patient care," says Rad AI's CEO.
By HIMSS TV | 07:00 am | January 18, 2024
Dr. Benoit Desjardins, professor of radiology at Penn Medicine, describes how automation and AI-powered analysis are transforming clinical imaging workflows.  
By Andrea Fox | 12:07 pm | January 17, 2024
By adding the digital marketing and customer relationship management platform, which leverages machine learning and AI for patient engagement, the company aims to improve patient experiences in value-based care.
SPONSORED
By VMWare/Carahsoft | 10:13 am | January 17, 2024
As workforces shrink, here’s how hospitals can cut costs while still improving patient outcomes.
By HIMSS TV | 07:00 am | January 17, 2024
How can providers and payers use AI and machine learning in value-based care and preventative care to forecast the onset of health conditions and alter patient behavior? Ionian Healthcare Consulting’s founder and consultant Matt Cybulsky has some answers.  
By Adam Ang | 02:58 am | January 13, 2024
Also, Konkuk University Hospital is joining the latest R&D initiative in South Korea to further enhance Alzheimer's diagnosis through AI.
By Bill Siwicki | 12:38 pm | January 12, 2024
A Yale University School of Medicine ER clinical informatics expert offers a deep dive preview of his HIMSS24 educational session that will show how artificial intelligence and CDS can boost emergency care.
By Andrea Fox | 11:07 am | January 12, 2024
"Finding out the patient is high-risk after they are diagnosed with cancer is too late," says Dr. Eric Brown, surgical oncologist and breast multidisciplinary team co-lead.
By HIMSS TV | 07:00 am | January 12, 2024
The New Jersey health system's CIDO Sunil Dadlan explains how his teams have worked to implement effective and ethical AI, and offers perspective on challenges around regulations, workforce and interoperability.