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Access a range of articles and resources written by clinical governance experts and search our carefully curated list of safety and quality journal articles and reports.

AICG articles, resources and curated journals and reports are available to all AICG members. Members must be logged in, in order to access all content. Users who are not AICG members will only be able to access publicly available articles. 

AICG Articles

Showing 1–7 of 7 articles
What are the pros and cons of AI in quality management?
What are the pros and cons of AI in quality management?

This IHI blog explores the potential for the use of generative AI tools in quality management and it is a timely exploration. The time is now for quality managers and executives to plan to employ AI to enhance the quality system while building protection against the downsides – before they occur.

AI
Clinical governance
Quality
AI and Patient Safety – a match made in…?
AI and Patient Safety – a match made in…?

Artificial intelligence is coming at us – no matter where we sit on the human services’ spectrum. The potential care and service applications as well as risks are many and varied. When we look through the consumer safety lens – what do we see?

AI
Clinical risk
Risk management
AI and robotics
AI and robotics

Quick reference guide on eight key areas where AI and Robotics change the way we work in human services.

AI
The revolution is here. How will AI change healthcare?
The revolution is here. How will AI change healthcare?

Health and human services’ managers, practitioners and policymakers all over the world are exploring the impact of Artificial Intelligence (AI). This commentary piece summarises a comprehensive report, co-authored by McKinsey Co. and the European EIT Health think-tank, on the potential impact of AI in healthcare. They use the European Parliament definition of AI as ‘the capability of a computer program to perform tasks or reasoning processes that we usually associate with intelligence in a human being.’

AI
Risk management
Safety
What is responsible AI, and why is it relevant to clinical governance?
What is responsible AI, and why is it relevant to clinical governance?

The rate of AI (Artificial Intelligence) in healthcare is growing, with immense scope for its application in healthcare – from robotic surgery and virtual nursing assistants, to preliminary diagnosis and automated image diagnosis. Where AI abuts the clinical interface, so must its governance.  Therefore, governance in AI must include clinical governance.

AI
Digital health
AI in healthcare: Governance, translation and clinical application
AI in healthcare: Governance, translation and clinical application

As we see an ever-growing utilisation of AI applications in healthcare, we stop to take a deeper look into its governance considerations, its fit within our clinical governance frameworks and what we need to consider when applying it in a clinical setting. 

This webinar will include an anonymous audience interactive applied AI in healthcare scenario session to test and challenge its application in the delivery of safe, quality care.

AI
Remote care: More than remotely caring
Remote care: More than remotely caring

An important aspect of clinical governance, particularly in primary and community care, is monitoring and early intervention. Particularly important in older people in the early detection of functional decline or clinical deterioration.

Aged care
AI
Digital health
Person-centred care
Primary & Community Care
Showing 1–7 of 7 articles
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