AIMC Topic: Quality of Health Care

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Harnessing Natural Language Processing to Assess Quality of End-of-Life Care for Children With Cancer.

JCO clinical cancer informatics
PURPOSE: Data on end-of-life care (EOLC) quality, assessed through evidence-based quality measures (QMs), are difficult to obtain. Natural language processing (NLP) enables efficient quality measurement and is not yet used for children with serious i...

[The Generative Artificial Intelligence Revolution in Nursing: A New Chapter in Enhancing Care Quality and Education].

Hu li za zhi The journal of nursing
Artificial intelligence (AI) represents a recent major breakthrough in technology development and, in recent years, generative AI has emerged as another trendsetter. The application of generative AI technologies in the healthcare sector has not only ...

A Nationwide Network of Health AI Assurance Laboratories.

JAMA
IMPORTANCE: Given the importance of rigorous development and evaluation standards needed of artificial intelligence (AI) models used in health care, nationwide accepted procedures to provide assurance that the use of AI is fair, appropriate, valid, e...

The Inverse Data Law: Market Imperatives, Data, and Quality in AI Supported Care.

Studies in health technology and informatics
Over the last decade, the explosion of "Big Data" and its fusion with AI has led many to believe that the development and integration of AI systems in healthcare will usher in a transformative revolution that democratises access to high quality healt...

The future of AI in health-care quality: defining the challenges and opportunities moving forward.

International journal for quality in health care : journal of the International Society for Quality in Health Care

Gaps in standards for integrating artificial intelligence technologies into ophthalmic practice.

Current opinion in ophthalmology
PURPOSE OF REVIEW: The purpose of this review is to provide an overview of healthcare standards and their relevance to multiple ophthalmic workflows, with a specific emphasis on describing gaps in standards development needed for improved integration...