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On solving actual problems in healthcare

Don't start with what tech or dataset you have or can easily get. Start with the actual outcome and goal. Work with patients and clinicians who have this problem.

Are we back to shoehorning tech into healthcare settings?

A great discussion with Joe Alderman, Anaesthetist and AI researcher at the University of Birmingham.

Here’s some of what we cover:

  • If you are a data or AI scientist, or shipping AI products, what can you do starting tomorrow to begin thinking more proactively about underserved communities or ensure you’re not creating unintended harm to vulnerable groups.

  • Stuff the industry is not doing great on: We’re starting with the dataset or the technology we happen to have, instead of working backwards from what we are fundamentally trying to achieve in the world. (If I nodded any more at this point my head would have rolled off)

  • A revisit on where things are with the Standing Together initiative, something Xiao Liu talked about in the very first episode of GPODH.

    • In the UK, there are big areas where life expectancy is falling. Health inequalities are rising. Our datasets have bias. It’s tempting to fall into the narrative that this is a tech deficiency problem. It is not. It is a whole society problem and we’re not going to solve it with JUST tech.

  • If govts, regulators and health systems find it challenging to be on top of the safety issues with LLMs, how are lay people going to?

    • Joe covers how the upcoming work of the Healthcare Chatbot User Guide can help people navigate some of the key things they need to consider

Get the full one hour episode here (links out to all podcast players)

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