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Published: 07 April 2016

Latest News: Dates announced for the Surrey Informatics Summer School 2016

We are pleased to share details of an upcoming research course, for which our academic and NHS members are able to take advantage of the reduced delegate rate.

       

Surrey Informatics Summer School – SISS 2016

 

HOW TO USE ROUTINE HEALTH DATA FOR QUALITY IMPROVEMENT & RESEARCH

 

Venue:       University of Surrey        

Dates:        Monday 18th July to Friday 22nd July 2016

Prices:       Academic/NHS: £500

                 Commercial:  £800                                                                               

                                                                                                                                                                                                                                                                                          

Price includes all lunches, break time teas and coffees, drinks and nibbles with evening lectures as well as course closing dinner. University accommodation, at extra cost, is available dependent on availability.

 

Who is this for?

Clinicians, researchers and data analysts wanting to work with routine health data

 

  • Researchers: PhD, potential PhD students or researchers using routine health data
  • Leaders and managers of health care organisations wanting to improve their use of health data
  • Public health trainees and specialists
  • Data analysts: In health care providers or commissioners - Social sciences and social care students wishing to work with health data
  • International delegates are especially welcome - although we will use UK health data for analysis we will include commonly used international systems.

 

LEARNING OUTCOMES

By the end of this course you will be able to:

  • Understand how and when to use each of the four panels in the R Studio IDE
  • Understand how to carry out basic data manipulations in R of vectors, tables, data frames
  • ‘Visualise’ the data using R graphical and non graphical functions
  • Demonstrate an understanding of different data types, and of parametric and non parametric data
  • Understand when to use, and how to carry out simple descriptive statistical tests, hypothesis tests, correlation and linear and logistic regression in R
  • Explain the differences between data, information and knowledge
  • Describe the nature and origins of health care data
  • Demonstrate an understanding of the purposes of records
  • Describe the factors that should be considered when extracting data from a record system
  • Demonstrate an understanding of ‘data quality’ and the factors that impact on it

 

CLINICAL INFORMATICS & HEALTH OUTCOMES RESEARCH GROUP

 

The course is hosted by the Clinical Informatics and Health Outcomes Research (clininf.eu) group and taught by leading informatics academics and practitioners with International reputations including:

Professor Simon Jones - Professor of Epidemiology and Head of Integrated Care Research at the University of Surrey; previously Chief Statistician at Dr Foster Intelligence

Professor Simon de Lusignan - Professor of Primary Care and Clinical Informatics at the University of Surrey; Medical Director of the RCGP Research and Surveillance centre; practicing GP

Dr John Williams - Senior Clinical Research fellow at the University of Surrey; previously Clinical Informatics adviser to HSCIC; retired GP

Jeremy van Vlymen - Research Fellow at the University of Surrey

 

FOR MORE INFORMATION PLEASE CONTACT

m.pickering@surrey.ac.ukor visit www.clininf.eu/siss2016

                         

                                                                                                                                                                                                                                                                                          

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