Can simulated datasets unlock the potential of patient data?

Presented by

Jem Rashbass, Health Data Insight, Chris Carrigan, use MY data, Adam Reich, IQVIA, Dominic Tyer, pharmaphorum

About this talk

Patient level data offers the promise of insights which can craft new and better pathways, enable development of innovative therapies and treatments, and of course identify and prevent diseases much earlier in their lifecycle. One area of particular interest is cancer. However, in trying to realise the potential, the health sector is faced with the conundrum of protecting patients’ identities, while at the same time allowing doctors access to their data and enabling industry to benefit from vital insights into the disease. This presents a paradox, as the UK has some of the best healthcare data in the world, however, accessing the data can be challenging and time consuming due to patient confidentiality checks. So, what is the solution? IQVIA brings a unique perspective to this event, having partnered with Health Data Insight to develop an innovative solution to this seemingly intractable problem: Simulacrum, a database comprised of only artificial data that is modelled on real patient data collected by the National Cancer Registration and Analysis Service (NCRAS) in England. Simulacrum has already produced identical results to the real data when predicting incidence of tumours in the population, whilst simultaneously removing any risk of breaching patient confidentiality. In this webinar, IQVIA and pharmaphorum will also provide advice to industry, patient advocacy groups and healthcare professionals on how to leverage Simulacrum, and utilise this simulated dataset to facilitate access to England’s world-leading healthcare data, while complying with regulations designed to protect and maintain individual confidentiality.

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