Electronic Health Records (EHR) and EHR-based Phenotyping (postponed)
Date:
08/11/2019
Organised by:
NCRM, University of Southampton
Presenter:
Dr Spiros Denaxas and Dr Arturo Gonzalez-Izquierdo
Level:
Entry (no or almost no prior knowledge)
Contact:
Jacqui Thorp
NCRM, Training and Capacity Building Co-Ordinator
Phone: 02380594069
Email: jmh6@soton.ac.uk
Description:
PLEASE NOTE THIS COURSE HAS BEEN POSTPONED - DETAILS OF THE NEW DATE WILL FOLLOW IN DUE COURSE.
Primary and Secondary care records are increasingly being linked for use in research. These data, however, are collected as part of routine care or for administrative purposes and a significant amount of work is required to build robust and accurate definitions of clinical concepts that can used to identify cases for further study. In this course we present the basic theory behind the extraction of phenotype data from combined electronic health records.
The course covers:
- Introduction to Electronic Health Records (EHRs)
- Phenotyping EHRs – Theory
- Controlled clinical terminologies
- Research exemplars
By the end of the course participants will:
- Become familiar with two major primary and secondary care data sources (CPRD and HES)
- Learn what types of EHR data are collected and the different ways data are recorded
- Understand how to combine linked EHR data sources to define disease cases
This course is suitable for epidemiologists, medical statisticians and other researchers working with electronic health records data.
Cost:
The fee per teaching day is:
• £30 per day for UK/EU registered students
• £60 per day for staff at UK/EU academic institutions, UK/EU Research Councils researchers, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions.
• £220 per day for all other participants
All fees include event materials, lunch, morning and afternoon tea. They do not include travel and accommodation costs.
A full refund is available two weeks prior to the course, NO refunds are available after this date.
Website and registration:
Region:
Wales
Keywords:
Mixed Methods Data Handling and Data Analysis, SQL , Database Modelling , Electronic Health Records , Relational Databases , Data Curation
Related publications and presentations:
Mixed Methods Data Handling and Data Analysis