Systems-based issues implicated in almost all incidents, according to this 1993 study. They assessed the source of the factors in 2000 reported medical incidents from the Australian Incident Monitoring Study (AIMS). If you gloss-over the specific percentages, they said: · “The notion that many problems result primarily from defects in the system rather than from deficiencies… Continue reading “the system was implicated in 90% of all incidents (97% if human factors are included)” – 1993 medical study
Author: Ben Hutchinson
Safe As: How effective are warning signs?
How effective are warning signs? This ep unpacks the question via a meta-analysis, exploring the factors that make for an effective, or not, warning sign.
Safe As YouTube episode schedule
Have you subscribed to my new YouTube channel? I’ve just recorded all of the below eps – a mix of safety, AI, risk, cognition, and more general pop-sci. Please help share the word if you find this useful (subscribe, like and comment on my vids)! Hard to get my channel noticed by the vengeful algorithm.… Continue reading Safe As YouTube episode schedule
Safe As: Can AI make your doctors worse at their job?
Can #AI make your doctor worse at their job? This multicentre study compared physician ADR (Adenoma Detection Rate) before and after AI-assisted detection – and then after removing the AI-assistance. What do you think – will the overall benefits of AI overweigh the negative and unintended skill drops of people? (*** Please subscribe, like and… Continue reading Safe As: Can AI make your doctors worse at their job?
AI: Structural vs Algorithmic Hallucinations
#AI: Structural vs Algorithmic Hallucinations There’s several typologies that have sorted different types of hallucinations – this is just one I recently saw. This suggests that structural hallucinations are an inherent part of the mathematical and logical structure of the #LLM, and not a glitch or bad prompt. LLMs are probabilistic engines, with no understanding… Continue reading AI: Structural vs Algorithmic Hallucinations
Risk Compensation: Revisited and Rebutted
Do anti-lock brakes or bike helmets *increase* risk, since people adapt to the measure and therefore corner faster or use less self-protective behaviours? A lot has been said about Risk Homeostasis (RH), Risk Compensation (RC) or the Peltzman effect. But as it seems, we have little convincing, rigorous evidence that its core premises are demonstrable… Continue reading Risk Compensation: Revisited and Rebutted
The Sleep “Sweet Spot” For Extending Your Life (…kind of)
Is there a link between lower and higher sleep amounts of risk of death? A recent meta-analysis of 76 cohort studies provides some insight – but noting association, not necessarily causal. https://youtube.com/shorts/8zvenPtRpyQ?feature=share
A scoping review of the evidence base for the performance of leading indicators for improving safety outcomes
Do leading indicators work as expected? This scoping study evaluated 48 studies to explore the question. (Note: PDF shared under the CC BY 4.0 open access licence) Extracts: · While most studies reported some positive impact of leading indicators on lagging indicator performance, “overall the evidence base was weak” · Interestingly, it appears that most of the… Continue reading A scoping review of the evidence base for the performance of leading indicators for improving safety outcomes
Safe As 67 (audio): Designing safer and healthier work schedules
Safe As (audio): Designing safer and healthier work schedules This audio-only episode on Spotify/Apple etc. covers several principles on how to design better shift work/roster schedules, based on two sources. Don’t forget to check out my YouTube channel: https://www.youtube.com/@Safe_As_Pod
Safe As: Why you don’t want a hungry judge
Why you don’t want a hungry judge: noise. Noise in human judgement is undesirable variability in judgements of the same problem. Like, two different doctors making wildly different judgements on the same patient with the same information. If you find this useful then please jump onto YouTube and subscribe, like and comment directly on the… Continue reading Safe As: Why you don’t want a hungry judge
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