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SODA. Managing BIG MEDICAL DATA - exploring privacy preserve technics.

Big data has big potential for healthcare. From epidemiological analysis to early diagnosis, the datafication of life opens up new opportunities for preventative, diagnostic and therapeutic data analytics. However, accessing and analysing data in ethical and lawful ways is a complex challenge. 


This workshop brought together data scientists, clinicians, policymakers, technology developers, and researchers who are working in the context of health big data. Together we mapped data flows in healthcare and explore innovative responses to ethical, legal, and social opportunities and challenges with particular attention to three questions: 


  • How is data currently collected, accessed, kept, shared and repurposed within agencies connected to NHS and in collaboration with others, including private agencies?

  • How would those flows transform with the incorporation of privacy preserving techniques such as Multi Party Computing (MPC)?

  • What are benefits and obstacles in current and speculative health big data analytics in terms of privacy, trust and interoperability?


I designed collaborative tools and facilitated engagements developing methods such a value mapping, collaborative scenario building and a card game that applies IsITethical? Key Terms to measure ethical impact of the emerging proposals.   


The workshop was co-hosted by the SODA project which develops novel approaches and technologies that allow data sharing without compromising data security or privacy, including multi-party computing (MPC) and privacy preserving techniques for ethical big data analytics in healthcare. This workshop was a collaboration between researchers at Lancaster University, people affected by long term diseases such as diabetes and dementia, their carers, and the Alexandra Institute in Aarhus, Denmark. 

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