Michal Galazka International Study Day
The transformative power of big data in healthcare
An all-day educational meeting looking at advances in the application of big data to improve palliative care.
Big data analysis is transforming the healthcare research landscape worldwide. Technological advances in data linkage, natural language processing and statistical developments, are providing new opportunities for impactful research across healthcare settings, populations and disease groups.
In our third Michal Galazka International Study Day, speakers will present their research and discuss with the audience the implications and opportunities of routinely collected data for healthcare research.
The day will include sessions on:
- Future challenges for big data use in healthcare
- International collaborations in big data in end-of-life care research
- Informatics and use of statistics
- Experiences of data linkage and data analysis
Refreshments including a sandwich lunch will be provided. There will be an opportunity to network after the event with afternoon tea on the roof terrace.
Professor David Spiegelalter | University of Cambridge
Professor Martin Gulliford | King’s College London
What would Florence Nightingale make of the way data is being used today?
Professor Julia Verne | Public Health England
Electronic health records and intervention research
Lucas Morin | Karolinska Institute
Big data informs and monitors policy - but caution is advised!
Professor Bregje Onwuteaka-Philipsen | Amsterdam Public Health Research Institute
Big data in palliative & end-of-life care research: challenges and opportunities
Dr Katherine Sleeman | Cicely Saunders Institute
Why is there a “Big data” Task Force within the EAPC?
Dr Emeka Chukwusa | Cicely Saunders Instittue
Dying with dementia: How data can drive policy to ensure needs are met
Geographic accessibility to Palliative and End of Life Care facilities (PEoLC) & place of death in England
Download Event Materials
Event Poster (PDF) | Event Programme (PDF) | Group Registration Form (Word)
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