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Artificial Intelligence

HIMSS21
By HIMSS TV | 07:00 am | January 13, 2022
Sheeza Hussain, chief commercial officer at Biofourmis, talks about how the company's advanced analytics engine helps providers find individual baseline metrics so they know when to intervene.
By Adam Ang | 03:08 am | January 13, 2022
Project Polaris aims to help students practice clinical procedural skills using mixed reality technology.
By Bill Siwicki | 12:15 pm | January 12, 2022
Dr. Steven E. Waldren, vice president and chief medical informatics officer at the American Academy of Family Physicians, offers an advance look at his HIMSS22 session on clinical artificial intelligence.
2022 Look Ahead
By Mike Restuccia | 11:37 am | January 11, 2022
Areas of opportunity include data analytics for research, enhancing EHR capabilities and using AI algorithms to support patient care and operational efficiency, says Mike Restuccia.
SPONSORED
By Nuance | 11:19 am | January 07, 2022
Physicians are more stressed and burned out then ever before - and administrative burdens are a big contributing factor. Healthcare organizations can alleviate some of this stress with the help of AI technology.
By Kat Jercich | 12:48 pm | January 06, 2022
Sources say bids from potential buyers were due this week, with a hopeful price tag of $1 billion.
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By Pure Storage | 01:16 am | January 05, 2022
AI is already making an impact in healthcare, but many healthcare institutions are not ready to tap into its full potential. 
By Mike Miliard | 10:00 am | December 31, 2021
Some of the biggest names in healthcare and technology – athenahealth, Allscripts, Microsoft, Nuance and, of course, Oracle and Cerner – made big news with big-ticket deals this past year.
By Bill Siwicki | 02:04 pm | December 30, 2021
Manu Aggarwal of the Everest Group explains how the technology can help both caregivers and patients, and offers health IT leaders some valuable advice.
By Kat Jercich | 11:25 pm | December 28, 2021
Dr. Hans Eriksson, chief clinical development officer at HMNC Brain Health, discusses the ways AI-driven precision psychiatry can be leveraged to target the use of medications and improve patient outcomes.