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Artificial Intelligence

By HIMSS TV | 07:00 am | October 11, 2023
Certain foundations need to be in place and there needs to be proactive change management for successful AI deployment. Prof David Lowe, clinical director for health innovation with the Scottish government, illustrates this with current use cases.
By Adam Ang | 06:49 am | October 11, 2023
Its hypertension-focused centre with Shimadzu has reduced the turnaround time of testing for primary aldosteronism, which was previously done overseas.
By Adam Ang | 06:39 am | October 11, 2023
It has released an AI-powered connected ambulatory patient monitoring system.
By Andrea Fox | 11:15 am | October 10, 2023
"This is a significant step in bridging technology and healthcare," said Dr. Dennis Charney, Dean of Icahn Mount Sinai and Mount Sinai Health System's president for academic affairs. 
By HIMSS TV | 07:00 am | October 10, 2023
The IT leader discusses some of the innovative generative AI projects being piloted at the Boston health system and offers thoughts on how artificial intelligence should be regulated in healthcare – with guardrails around safety, efficacy and ethics.
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By Medallia | 07:54 am | October 09, 2023
The U.S. Department of Veterans Affairs deployed AI models and predictive analytics to collect near real-time input on service delivery and gather actionable insights that helped it restore veterans’ trust in its services.
By Andrea Fox | 11:32 am | October 06, 2023
"A small but growing number of companies are forming strategic partnerships and bringing AI solutions to the fields of drug discovery, diagnostics, patient care and claims management," says a new report.
Success Stories & ROI
By Bill Siwicki | 11:12 am | October 06, 2023
The system, built as part of the organization's digital front door, has achieved both clinical and financial ROI and helped earn a Net Promoter Score of 72.
By HIMSS TV | 07:00 am | October 06, 2023
"We can identify things earlier compared to when a human would see it," said Gil Margolin, CTP with Talkspace, which uses linguistic regression to analyze de-identified behavioral health messages and alert providers to patients at risk for self-harm.