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London Health Data Strategy Deliberation (2022) 

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    London Health Data Strategy Deliberation (2022) 

    28 April 2022
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    he London Health Data Strategy Programme is an initiative from the NHS in London supported by five London Universities, the OneLondon Local Health and Care Record programme, Health Data Research UK and NHS England. The vision is to use the power of data at scale to improve the health and wellbeing of Londoners. The purpose of this deliberation was to inform a business case being developed by the Programme around how to leverage London’s assets for public good.  

    This deliberation built on the previous work of the OneLondon Citizens’ Summit. Across four three-hour deliberative workshops 59 Londoners, selected to be reflective of London’s diverse population and with a range of attitudes towards data use, learnt about how deidentified data is used in research, planning and improvement. 

    Through expert presentations participants were exposed to different access models and the controls and safeguards that can be applied to Trusted Health Data Environments. Participants also learnt about the different levels at which data could be stored and analysed in London.  

    For the potential benefits of health and care data to be realised it’s vital to maintain public trust and confidence – which relies on us understanding what matters most to Londoners and why. As with any decision-making process, there were various options and associated trade-offs and we brought these to life using case studies. Sliding scales were also used to help gather participants’ priorities in relation to the following factors: ability to answer questions at scale, local control for data controllers and the public diameter of trust. 

    This deliberative process concluded with a clear set of co-designed expectations which reflect informed public views and values in relation to the use, access, safeguards, storage and analysis of depersonalised health and care data for research, planning and improvement in London.   

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