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Patient safety

By Andrea Fox | 10:27 am | January 24, 2025
Inequities that already exist in the healthcare system, and may be amplified by LLMs, could be addressed through the proving ground of artificial intelligence assurance labs, according to Brigham Hyde, CEO of Atropos Health.
By Adam Ang | 08:43 pm | January 21, 2025
A private healthcare provider in India went from manual to automated patient monitoring.
By Andrea Fox | 12:23 pm | January 07, 2025
The U.S. Food and Drug Administration has published updated draft recommendations to help improve the performance of pulse oximeters across skin tones.
By Mike Miliard | 10:52 am | December 06, 2024
The safety nonprofit says artificial intelligence models that aren't properly evaluated and deployed are a big concern for 2025. Others include home health technology and hospital infusion system vulnerabilities.
By Adam Ang | 02:59 am | December 04, 2024
The hospital is the first in Indonesia to adopt an automated EWS system.
By Adam Ang | 10:36 pm | November 25, 2024
A pilot validation study found that the AI helped hasten case reviews and data analysis and determine the necessity of antibiotic use.
By Mike Miliard | 10:54 am | November 25, 2024
The research shows how data integrity issues at every stage – training, model development, publication, implementation – can adversely impact patient outcomes, say clinicians at Yale School of Medicine.
By Andrea Fox | 11:34 am | November 18, 2024
The third extension of pandemic-era telehealth flexibilities through the end of next year will give the agencies time to promulgate final regulations and providers time to comply, the agencies said.
By Mike Miliard | 11:01 am | November 15, 2024
The former GOP congressman from Georgia has served as a U.S. Navy chaplain and is a colonel in the Air Force Reserve. He would inherit a major EHR modernization initiative, currently paused but slated to restart in 2025, among other IT imperatives.
By Mike Miliard | 10:56 am | November 15, 2024
The U.S. Department of Homeland Security sees three areas of concern as artificial intelligence is used across critical infrastructure sectors: attacks using AI, attacks targeting AI systems and design, and implementation failures.