Big Data Studies
Analysing Emergency and Urgent Care System Demand in Yorkshire and Humber: A data linkage study of pre-hospital and emergency department data
This study is linking one year of routine data (for 2014) across the emergency and urgent care system (EUC) from the point of call through to discharge at hospital. We are collecting 999 and NHS 111 data from the Yorkshire Ambulance Service (YAS) and linking it to hospital data from every acute trust in Yorkshire and Humber. We have now collected the data from all acute trusts and are in the process of creating the linked database. The database will contain over two million EUC patient episodes which will be analysed to identify patient demand and flow in the system.
Principal investigator: Professor Suzanne Mason (firstname.lastname@example.org)
Project manager: Colin O'Keeffe (email@example.com)
Project start date: 01/03/2014
Anticipated completion date: 31/05/2016
Status: Closed. In follow-up.
Emergency and Urgent Care System Demand in Yorkshire and Humber: A retrospective analysis of routine data
This study is collecting three years of Hospital Episode Statistics Data from all acute trusts in Yorkshire and Humber from 2011/12 to 2013/14. The data analysis will establish patterns of demand for emergency care (ED attendance and emergency hospital admissions). The data will be analysed to identify avoidable attendances and admissions and establish potential target groups of patients who are amenable to an alternative response to reduce use of hospital services. Data analysis is underway and a definition of unnecessary attendance is established.