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Found 5 results
  1. Content Article
    1. Regulating adaptive AI algorithms Where an AI tool quickly adapts to reflect its environment and the context in which it operates, the AI may “reinforce those harmful biases such as discriminating based on one’s ethnicity and/or gender”. These will further exacerbate existing health inequalities and place certain patients at a disadvantage. It is important that the ground rules for these AI tools include firm parameters that seek to prioritise patient safety. A bit like Asimov’s Zeroth Law, ”a robot may not harm humanity, or, by inaction, allow humanity to come to harm”. 2. Hackin
  2. Community Post
    I am currently working to develop a new process for the investigation of incidents related to digital healthcare, something which clearly sits outside of the usual framework or process of investigating traditional patient safety incidents. I would be grateful for opportunities to discuss and share experiences and ideas with others. If you have already investigated these sort of incidents what sort of approach did you utilise and have you reviewed it post event in respect of effectiveness. @Keith Bates Clive has suggested it would be beneficial for us to discuss?
  3. Community Post
    I've been posting advice to patients advising them to personally follow up on referrals. Good advice I believe, which could save lives. I'm interested in people's views on this. This is the message I'm sharing: **Important message for patients relating to clinical referrals in England** We need a specific effort to ensure ALL referrals are followed up. Some are getting 'lost'. I urge all patients to check your referral has been received, ensure your GP and the clinical team you have been referred to have the referral. Make sure you have a copy yourself too. Things
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