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Copy of Statistical Intelligence Analyst

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thalia lajara pomares

on 20 November 2017

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Transcript of Copy of Statistical Intelligence Analyst

Statistical Intelligence Analyst
University Hospitals Birmingham NHS Foundation Trust
Thalia Lajara Pomares
Use of information and statistics to improve NHS care
What is 'STATISTICS' ?
How is it connected to health problems or needs?
DATA ANALYST
Transform
DATA
Knowledge
Insights
Value
Statistical tools
COLLECT DATA NOWADAYS
Internet Of Things
Smart devices
Big Data Analysis
Sleep quantity
Sleep quality (measuring movement)
Smoker (yes, not, eventually)
Hours of exercise per week now
Hours of exercise per week 2 (1 month ago)
Weight_1 (now)
Weight_2 (1 month ago)
Hours of exercise per week 1 (now)
Images
text
Information from web pages
Data mining tools
IT tools
Do treatments work well?
For a given issue, which treatment has better results?

The efficiency of the treatment changes according to the process of taking this?
What factors are significant in the appearance of the problem? How do they affect?
How to reduce medical costs and thus be able to serve more patients?
Do different groups of people react to the same stimulus? Does a factor affect a specific group of individuals?

Is it possible to improve customer service?

Are patients aware of certain health aspects?
QUESTIONS / PROBLEMS / NEEDS
Transform into hypothesis
Data acquisition
( clean, transform, integrate, reduce variables)
Descriptive
Diagnostic
Predictive
Prescriptive
Use of analytical tools
Use of data mining
Hidden relationships
Undiscovered patterns
Data preparation
Results
Communicate results
VALUE
Understand the problem
Working with samples
Do they represent the population?

High level of confidence, but we assume that there is a small probability of not being right
(0.05, 0.01 or in some cases 0.1).
Pre-processing and the quality of the data are important for having both an understandable and good quality result.
Modelling
M.L
Prevent health problems
Diseases diagnostic
(Even before having severe symptoms)
New architectures to manage, pre-process, storage, process and modeling
3 V's
Volume
Velocity
Variety
ANY QUESTIONS
Full transcript