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Artificial Intelligence

By Mike Miliard | 04:57 pm | June 10, 2020
Clinical Content Search, a new embedded voice-assistant tool in Dragon Medical One, links physicians with relevant CDS topics from UpToDate in response to spoken questions.
By Bill Siwicki | 01:07 pm | June 10, 2020
The machine learning-powered app has gained attention as a way to reshape pain therapy and enhance self-care for oncology, orthopedics, women’s health, migraine headaches and more.
By Sara Mageit | 07:29 am | June 08, 2020
This partnership will integrate Expert System’s AI capabilities for medical research, supporting content aggregation and decision making for an evaluation period of six months.
By Bill Siwicki | 12:11 pm | June 04, 2020
AI is enabling clinicians to gain big insights from billions of pieces of unstructured data, said one AWS expert in a HIMSS20 Digital session.
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By Nuance | Healthcare IT News | 10:14 am | June 03, 2020
Physicians in Denmark, Finland and Sweden now have the opportunity to use a native-language conversational AI solution to effectively capture patient stories, reduce administrative workloads and improve care quality with an EHR-integrated solution. 
By Bill Siwicki | 12:45 pm | June 02, 2020
The chief nursing officer at Medicomp explains how EHR makers can combat burnout by building better, nurse-inclusive systems with input from frontline staff.
By Dean Koh | 08:00 am | June 02, 2020
Lunit INSIGHT MMG was first introduced at the 2018 RSNA annual meeting.
By Bill Siwicki | 01:43 pm | June 01, 2020
Seattle Children’s Hospital also was able to achieve an 85% reduction in its analgesic medication costs while patient and parent satisfaction scores increased.
By Mike Miliard | 01:01 pm | June 01, 2020
Before joining the EHR giant, Labat served as chief technology officer and led the cloud-automation business for HPE Software. Prior to that, he spent two decades at Oracle. 
By Mike Miliard | 04:09 pm | May 29, 2020
John Halamka describes how clinicians at Mayo are benefiting from machine learning-powered approaches to imaging, predictive analytics and other types of decision support – and using machine learning to mine historical data for new treatments.