Thursday Thoughts: Forbes explores the role of data literacy in healthcare

The lack of data literacy among the healthcare workforce has always been a serious concern for the sector. As this article in Forbes says, more than ever, health organizations must rapidly become more data-driven in order to improve care for patients: https://bit.ly/2LilHcV

Qlik’s Jordan Morrow @chief_nerd_officer says that while data has the ability to unlock massive potential in the NHS, few organizations are actively investing in their employees’ ability to confidently use data. What can healthcare organizations – NHS Trusts and others around the world – do to engage more staff in understanding the value of data? Thoughts welcome.

Comments

  • Hey - one great initiative I've followed is the 'Making Data Count' - https://improvement.nhs.uk/resources/making-data-count/

    They provide training and tools to help NHS organisations move from the traditional RAG to a more useful SPC analysis. I also follow Sam Riley on Twitter (https://twitter.com/samriley) who passionately champions this and training people to understand data better.

  • Thanks for flagging these great initiatives @SHilton3M – it’s fantastic to see invaluable NHS staff getting more support to become data literate, particularly at this time!

  • Hi all,

    Journalist Adi Gaskell has written a second, more in-depth piece on data in healthcare and how to best engage medical staff in understanding its value. Heather Gittings, Global Industry Director, Public Sector & Healthcare at Qlik and Jordan Morrow, Global Head of Data Literacy at Qlik (@chief_nerd_officer) discuss why upskilling staff to be data literate was so beneficial for the frontline workers of University Hospitals of Morecambe Bay NHS Foundation Trust. The Hospital’s Emergency Department was able to improve the number of patients triaged within 15 minutes of arrival from 65% to 95%. Check it out here: https://bit.ly/2YVGPxa

    What do you think is the best way to engage medical staff in understanding the value of data? Any recommendations or examples of programmes that have worked well?  

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