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Thoughts on healthcare & the internet of things


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Talk given in Christchurch on July 12th 2017, New Zealand.

Published in: Design
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Thoughts on healthcare & the internet of things

  1. 1. When things talk, are we ready to listen? Thoughts on healthcare and the internet of things.
  2. 2. About me
  3. 3. Clients
  4. 4. This talk is about how we could think about public & private data gathering.
  5. 5. Context 1: health.
  6. 6. The theory Wearables help us understand our health more precisely and make changes every day.
  7. 7. Actually Accelerometer data for health purposes is extremely inaccurate no matter how you define ‘health’.
  8. 8. Actually Data gets boring to look at. (the energy display effect.)
  9. 9. Actually Or reversely gamified health systems enables obsessive behaviour and eating disorders.
  10. 10. Actually We get bored easily.
  11. 11. Actually Most people discard their wearable within a 6 month period. See PWC report from 2014.
  12. 12. What we need to think about That data gathering about your own body isn’t another form of fashion and cultural mimicry. We are offering very little more than a pedometer would but at 100 times the cost.
  13. 13. What we need to think about Because if you can’t answer the question ‘how are you doing’ without checking a device, there’s something else going on.
  14. 14. Context 2: At work
  15. 15. The data ‘opportunity’ Let’s track your gym attendance, the number of steps you take so we can make sure everyone works to the best of their potential.
  16. 16. Actually What you can guess from activity does not translate into a perfect picture of an employee’s ability to do great work. Nor should it unless your job absolutely depends on it.
  17. 17. Actually What if someone has cancer, AIDS or another medium / long term chronic illness. An employee isn’t a liability by default, it should always be an asset first.
  18. 18. What we need to think about Data gathering is another way of exploiting people’s economic status
  19. 19. Context 3: At home with your grandparents
  20. 20. The data ‘opportunity’ Let’s track the elderly so we can bring them care at the right time. In-home care is very expensive. Care homes even more.
  21. 21. Actually Older people want to stay at home as long as they can but… Nearly half of older people (49% of 65+ in the UK) say that television or pets are their main form of company See York Health & Wellbeing Study 2014
  22. 22. What we need to think about Are we giving families an excuse to ‘monitor’ instead of doing the hard job of caring, engaging and supporting an ailing family member. Are we building responsive AND personal home care?
  23. 23. What we need to think about Whose data is available to make smart decisions about people living on their own? Water? Energy? Television?
  24. 24. What we need to think about How do we create an environment where that data is not locked in but available to people to see? Is there such a thing as public personally accessible data?
  25. 25. Data that is useful and for the public good
  26. 26. Data that helps deliver better services.
  27. 27. Data that makes us think about flexible access.
  28. 28. Ways forward As of 2015, the FDA is assessing the effectiveness of apps & ‘devices’ with medical applications.
  29. 29. Ways forward In March 2018, EU GDPR directive comes in that will force companies to disclose what information they have about consumers.
  30. 30. Ways forward We’re working on a certification mark for connected products. We’re looking for local partners to help manage & police the mark.
  31. 31. Ways forward Security, privacy, interoperability, provenance, ownership & permissions are conversations the mark will support.
  32. 32. Because data should be a collective conversation.
  33. 33. Question what is hiding behind data, how is it really being collected? Is it accurate? Find out what behaviours are being enabled, good and bad. Think about what is the alternatives to using that product. In conclusion
  34. 34. Think about data as unrelated to a person. Think about data as small, local. Think about the people who have to interact with it and their needs. In conclusion
  35. 35. Thanks @iotwatch