Section 5 - Navigating the Regulatory Landscape: An Analysis of Legal and Ethical Oversight for Large Language Models (LLMs)
Large Language Models in healthcare may be regulated as medical devices under FDA, MHRA, and EU rules. Developers must comply with data privacy and medical device regulations for LLM deployment.
Five Rights of AI in Healthcare
The concept of the "Five Rights of AI" draws inspiration from the "Five Rights of Medication," a concept with roots in early 20th-century nursing practices to guide nurses toward safe and accurate medication administration to enhance patient safety and advancing quality improvement.
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The Future of Virtual Care: How Combining Technologies Will Play an Essential Role
Our guest writer outlines key areas of virtual care that will have a big impact on improving experiences and outcomes across the healthcare continuum.
HIMSS, PCHAlliance Comment on FDA Proposed Regulatory Framework for Changes to Artificial Intelligence/Machine Learning
HIMSS and PCHAlliance submitted a joint comment to the FDA in response to its recent discussion paper and request for feedback on a Proposed Regulatory Framework for Modifications to AI/ML-Based Software as a Medical Device.
HIMSS Responds to NSF Artificial Intelligence Request for Information
HIMSS submitted a letter to the National Science Foundation in support of their strategic plan and the federal government’s efforts to improve the coordination of AI as well as ensure continued U.S. leadership in AI.
HIMSS Insights eBook Series: Educational and Thought Leadership Driven Content
Produced by healthcare journalists from across Europe, Asia, the Middle East and the Americas, the HIMSS Insights eBook series provides a better understanding of the developments and trends in health and care, from a truly global perspective.
AI in Healthcare: Finding Signal Amidst the Noise Webinar
AI represents one of technology’s most important priorities and healthcare is perhaps AI’s most urgent application, this on-demand webinar offers some clarity amidst the noise.
From Disruptive Innovation to Disruptive Processes: What’s Ahead in Healthcare
We asked our members what they anticipate to be the biggest disruptor ahead for healthcare—the conversation around disruptive innovations mentioned several technologies, but it also focused on change elements that are not strictly technologies.
Big Data in Healthcare: Breaking Through the Noise
The ongoing advent of AI technologies will amplify the value of big data in healthcare, paving the way for a more collaborative, human-centered approach that is helped, not hindered, by new technologies in health and care.
Technical Innovations Change Behavioral Health and Suicide Prevention Paradigm
In the U.S. in the last 20 years, there’s been a trend toward normalizing mental healthcare and removing its stigma and a corresponding rise in the need for developing effective behavioral health solutions.
Using AI and Collaborative Workflows to Predict and Prevent Clinical Deterioration
Stanford Medicine embarked on a mission to bridge the gap in utilizing machine-learning (ML) models for enhancing care delivery, focusing on three fundamental challenges within the health system.
Four Health Information Security Questions Answered
To help identify and implement strategies that mitigate risk and foster trust within your organization, we asked healthcare security leaders the following four questions. Here’s what they had to say.