Mark Wardle

@mwardle

Solving problems in health and care with technology and data. Current: Consultant Neurologist, Chair NHS Wales Technical Standards Board, Researcher, Founder.

Cardiff, UK
ಮೇ 2010 ಸಮಯದಲ್ಲಿ ಸೇರಿದ್ದಾರೆ

ಟ್ವೀಟ್‌ಗಳು

ನೀವು @mwardle ಅವರನ್ನು ತಡೆಹಿಡಿದಿರುವಿರಿ

ಈ ಟ್ವೀಟ್‌ಗಳನ್ನು ವೀಕ್ಷಿಸಲು ನೀವು ಖಚಿತವಾಗಿ ಬಯಸುವಿರಾ? ಟ್ವೀಟ್ ವೀಕ್ಷಣೆಯು @mwardle ಅವರ ತಡೆತೆರವುಗೊಳಿಸುವುದಿಲ್ಲ

  1. ಪಿನ್ ಮಾಡಿದ ಟ್ವೀಟ್
    ಫೆಬ್ರವರಿ 11

    So I wrote an electronic patient record system in my spare time.

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  2. ಅವರು ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
    8 ಗಂಟೆಗಳ ಹಿಂದೆ

    This is a great example to be followed by all those NHS exemplar projects ... GDEs and LHCREs .. to be an example you need to be tell the rest of us about the journey that you are taking

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  3. 6 ಗಂಟೆಗಳ ಹಿಂದೆ

    Just imagine what that would do for healthcare.... small teams, writing ephemeral lightweight user-centred applications providing interesting 'prisms' through which users view a single shared record. Similarly, making use of same shared platform when writing underlying services.

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  4. 9 ಗಂಟೆಗಳ ಹಿಂದೆ

    “Radical decentralization: Amazon is hundreds of small, decentralized, atomized teams sitting on top of standardised common internal systems.”

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  5. 12 ಗಂಟೆಗಳ ಹಿಂದೆ
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  6. 23 ಗಂಟೆಗಳ ಹಿಂದೆ

    I think a new two sided market opportunity with cloud services acting as platform providing EPR services and decision support to professionals and complementary / similar services to patients. All starting with more and more modular EPR functionality in cloud.

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  7. 24 ಗಂಟೆಗಳ ಹಿಂದೆ
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  8. ಡಿಸೆಂ 19
    ಈ ಥ್ರೆಡ್ ತೋರಿಸಿ
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  9. ಡಿಸೆಂ 19

    We need to look at how technology can speed up our understanding and evaluation of any intervention or decision, whether by human, machine, or more likely combination of humans and machines.

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  10. ಡಿಸೆಂ 19

    A timely reminder that safely introducing algorithms into healthcare requires support, process, data (including outcomes), fast feedback, trust, accountability and regulation. In fact, the very same frameworks that human decision-makers need (but often don't get).

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  11. ಡಿಸೆಂ 19

    Looking like it’s time to buy additional annual leave and reduce overall weekly sessional commitments... the changes mean that it simply makes no sense to do extra work for the NHS any more. Quite a shock to those of us who expected to fully dedicate but be remunerated for it.

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  12. ಡಿಸೆಂ 18

    I like it. It opens discussions. However, professionals are much more likely to find the right answer, particularly for rare disorders, as we know what to type.

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  13. ಡಿಸೆಂ 18

    Really looking forward to sharing some of this work from today & although I am v.biased, demonstrating benefit of a collaborative approach that brings together a range of skills & experience, from across health & social care, to create something greater than the sum of its parts.

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  14. ಡಿಸೆಂ 18

    Just finished an amazing session of the Welsh Technical Standards Board (WTSB). Quality discussion and debate and real progress on defining standards for interoperability, infrastructure, security and development in NHS Wales and its partner organisations.

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  15. ಅವರು ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
    ಡಿಸೆಂ 15

    Thanks for covering our report.Your column catches it nicely. We know what needs to be done-2019 should be dedicated to doing it!Everybody needs brave-pants for 🎄

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  16. ಡಿಸೆಂ 17
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  17. ಅವರು ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
    ಡಿಸೆಂ 17
    ಅವರು ಮತ್ತು

    [Sorry - that didn't thread as I'd intended, but you got the 2 replies.] re: changes, then yes, I'd move that clause out of the pesky asterisk and into the main body of text! The idea that the user is more important that the person with the power to create is revolutionary 1/2

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  18. ಡಿಸೆಂ 17

    cc Asking for a friend. But, say you wanted to rewrite the GDS design principles perhaps? Particularly I guess #1 is better than nothing, but what does #1 look like in 2019? 2020? "Solving problems"?

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  19. ಡಿಸೆಂ 17

    Are there better terms than "user needs" or "systems thinking" to mean empowering skilled, trusted people to work, iteratively, to understand problems, for individuals and also for groups & whole populations, refining our understanding & developing solutions to those problems?

    ಈ ಥ್ರೆಡ್ ತೋರಿಸಿ
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  20. ಅವರು ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
    ಡಿಸೆಂ 13

    1/4 A static and macro-level "automation creates jobs" conversation is incomplete and misleading. We can do better. cc/

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  21. ಅವರು ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
    ಡಿಸೆಂ 15

    In the last year, we have had three papers with collaborators accepted related to machine learning in medical diagnosis. The first discusses use cases; the second focuses on medical ultrasound, and the third on data engineering. What have we learned in the last two years?

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