Risk Prediction Tool for Delayed Discharges

 

In this presentation Richard Carter (The Data Lab) and Jonathan Cameron (NHS National Services Scotland) talk about a collaboration between their organisations and the Scottish Government to tackle delayed discharges from hospitals. By using real patient data from health and social care this challenging project resulted in a risk assessment tool to be used when patients present at hospital. Following further testing the implementation of this model will enable vital procedures to be actioned earlier and hence reduce or in some cases eliminate patient delays altogether.

 

 

Richard Carter – Data Scientist, The Data Lab

 

Richard’s life in mathematical modelling has taken him from the Ministry of Defence to The Data Lab via Goldman Sachs, a PhD on machine learning applied to poker, and an eight-year career as a professional gambler.

 

In his current role he works with industry partners and public sector organisations to perform data analytics and develop predictive models which ultimately drive social and economic benefit back to Scotland.

 

 

Jonathan Cameron – Head of Service, Public Health & Intelligence, NHS National Services Scotland

 

Prior to joining NHS National Services Scotland in 2005, Jonathan held a number of IT Project Management posts in the Public and Private Sector and has a strong track record on complex IT and eHealth project and programme delivery.  His career in eHealth and IT includes the delivery of the Emergency Care Summary and Key Information Summary systems which were major achievements in improving patient care across Scotland.

 

In July 2015, Jonathan was appointed as Head of Service for the Strategic Development team in NHS National Services Scotland. Jonathan is a CivTech Challenge Sponsor, and has responsibility for the Data Science strategy, as well as leading on a wide ranging portfolio including projects for primary care, community care and innovation.

 

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