System thinking for population health: a journey for developing linked datasets
Tuesday 27 November 2018 @ The Royal Pharmaceutical Society, 66 East Smithfield Street, London E1W 1AW
09.30 – 16.00
The design and development of linked datasets is becoming ever more important in the delivery of population health management for local health and care economies.
A packed agenda covering topics including modelling, population segmentation, examples of applied analytics that help towards system transformation, data warehousing/ infrastructure, data quality, IG and much more with high profile or subject matter expert leaders and plenty of networking opportunities.
In collaboration, KSS AHSN and Beautiful Information aim to bring together various professionals who have a keen interest or have been closely involved in local exemplars across London and Kent, Surrey and Sussex. We welcome participants from various professional backgrounds ie. clinicians, commissioners, senior analysts and academics, wishing to broaden their understanding or make connections in this space.
Please note that photographs maybe taken at the event and used for promotional material, on our website or via Twitter. If you do not wish your photo to be used, please make yourself known to the organiser on the day.
*What are my transport/parking options for getting to and from the event?
Full directions to the venue will be published here shortly.
Nearest train stations:
*Parking information to follow. This will be strictly limited and on a “first come, first serve” basis only. We therefore strongly advise that you travel by public transport if possible.
*Will refreshments be available?
Tea and coffee will be served on arrival and during interval breaks.
A buffet lunch will be available. Please advise of any dietary requirements when registering, along with any other special requirements you may have.
Places are limited and available on a “first come, first serve” basis. Although places are free of charge, you will be charged for non-attendance on the day.