监察员 AI。

Q3 Medicine

Healthcare quarterly (Toronto, Ont.) Pub Date : 2024-01-01 DOI:10.12927/hcq.2024.27259

Neil Seeman

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引用次数: 0

摘要

人工智能（AI）的整合为开发开源框架和工具带来了希望，这些框架和工具可纳入健康数据的社会和行为决定因素，从而促进对患者投诉背后因果因素的实证理解。通过全面收集和分析投诉，"人工智能监察员 "有可能实现提供公平、优质和可持续医疗保健的愿景。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Ombuds AI.

The integration of artificial intelligence (AI) offers the promise of developing open-source frameworks and tools that incorporate social and behavioural determinants of health data, thereby fostering an empirical understanding of the causal factors behind patient complaints. Through comprehensive complaint capture and analysis, "Ombuds AI" has the potential to realize the vision of delivering equitable, high-quality and sustainable healthcare.

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来源期刊

Healthcare quarterly (Toronto, Ont.) Medicine-Medicine (all)

CiteScore

2.20

自引率

0.00%

发文量

期刊介绍： Governing boards of healthcare organizations in Canada are accountable for the performance of their organization and provide oversight on their decisions. Traditionally, many healthcare boards have focused on finances and community relations and have deferred responsibility for quality of care.