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.
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As AI systems increasingly permeate clinical environments, the importance of establishing a structured approach to identifying, predicting and mitigating patient care safety risks grows. Recognising and addressing these risks is fundamental if AI is to fulfil its potential as a care guidance tool, without sacrificing patient safety in the process.
The SCV Quality Improvement Toolkit includes fact sheets, practical tools, templates and resources to help you improve the quality of care, developed for Victorian Health Services.
This longitudinal assessment of a new electronic audit and feedback (e-A&F) system in a large tertiary hospital was conducted to determine the system's impact on patient safety outcomes over an extended period.
Root Cause Analysis (RCA) is a valuable tool in healthcare for identifying systemic factors that contribute to errors. However, its traditional deterministic approach often focuses on finding a single root cause, typically human error, which can limit its effectiveness in preventing future adverse events. This narrow focus is compounded by hindsight bias, where the outcome influences how past decisions and actions are judged. As a result, conventional RCA can inadvertently damage organisational culture by attributing blame instead of addressing system-level issues.
The Registry of Senior Australians (ROSA) have released its latest ROSA Outcome Monitoring System (OMS) report, a quality and safety monitoring and benchmarking system designed to promote quality improvement, transparency, and accountability for the aged care sector.
What is the role of benchmarking data in good clinical governance? In this webinar, Health Roundtable discussed the role of risk-adjusted benchmarking and how it works, examples of where data has been used to improve clinical governance, how to make data accessible to clinicians and evidence to make the case for improvement.
Across human services, organisations struggle with the right response to quality data. Too often we spend time and resources ‘fixing’ the right thing – or addressing the right thing but not fixing it.
Policymakers around the world are considering how to best harness the transformative potential of artificial intelligence (AI) for productivity while trying to anticipate and limit associated risks.
That depends on the answer to these questions.
In this Lightbulb Moment webinar, Dr Cathy Balding interviewed Jane Boag to discuss her "ah-ha!" moment about data - fact or fiction?
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