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Harnessing Electronic Health Records (EHR) for Research: a Series of Short Courses

  • 7 hours per day
  • 1 or 2 days per course

Overview

Harnessing Electronic Health Records (EHR) for Research is an intensive programme of inter-related short courses.

It covers a wide range of basic and applied health research applications in this rapidly developing field.

These courses address the ‘why’, ‘what’ and ‘how’ of EHR research and critically evaluate scientific opportunities and challenges in what's being proposed as a new paradigm in medical research.

The courses are taught by internationally recognised faculty and span:

  • tools and techniques for assembling and interrogating large linked EHR datasets
  • formulating and answering clinically meaningful research questions
  • sharing insights across services and beyond, including with practitioners, patients and the public

This programme is run by UCL’s Institute of Health Informatics. 

Programme structure

There are 12 one and two-day courses, held over three weeks.

The courses are grouped into themes:

  • Using patient data in research (week 1)
  • Practical skills for records research (week 2)
  • New approaches for records research (week 3)

You can book any number of courses (from one to all 12), based on what's relevant to your research and learning needs.

Who these courses are for

These courses are intended for people with a wide range of backgrounds, including those working in:

  • healthcare
  • epidemiology
  • biostatistics
  • health informatics
  • NHS IT
  • bioinformatics
  • genomics
  • computer science

They're suitable for people at different career stages - from those thinking of doing an MSc or PhD, to established researchers.

Cost and concessions

The standard fees are:

  • £350 - one-day course
  • £500 - two-day course

Courses available

12 courses are available - further information on each can be found below.

Using patient data in research - week 1

Learning Health Systems
SQL for Biomedical Researchers
Answering Clinical Research Questions with Health Records
Innovation in Care with Health Data – a one day hackathon

Practical skills for records research - week 2

Genetic Association Studies and Mendelian Randomisation
Introduction to R for Healthcare Researchers
Introduction to Python for Health Data Science 
Visualising Health Informatics Research

New approaches for records research - week 3

Phenotyping Methods for Linked Electronic Health Records (EHRs) - CALIBER
Machine Learning: Supervised Learning
Machine Learning: Unsupervised Learning
Analysing Free Text in Medical Records

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Course information last modified: 15 Mar 2019, 11:34

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