Center of Quality Control and Clinical Audit for Diabetes Care
In Cooperation with Epidemiology Unit, Faculty of Medicine, Prince of Songkla University (PSU), the World Health Organization (WHO) Regional Training Center for Epidemiology in Asia
Main Aim
The project Quality Control and Clinical Audit for Diabetes Care has as its main aim develop a general Information Management Framework for Best Practice
The project will be developed based on a Continuity of Care Framework including the following four main components:
- Development of datasets of interest for clinical audit;
- Framework for automated capture of anonym patient centric data of interest;
- Development of a data analysis model using Methodology for Outcome Monitoring with Statistical Process Control;
- Development of a training model for user[1] and the US DQIP [2] accountability and quality improvement [3].
Statistical Analysis Framework and Tools
In cooperation with project partner data analysis will be undertaken with the R Statistical Package. The “R” Statistical Package is an open source integrated suite of software facilities for data manipulation, calculation and graphical display (http://www.r-project.org). “R” includes a well-developed, simple and effective programming language which includes conditionals, loops, user-defined recursive functions and input and output facilities with capabilities for:
- effective data handling and storage facility,
- a suite of operators for calculations on arrays, in particular matrices,
- a large, coherent, integrated collection of intermediate tools for data analysis,
- graphical facilities for data analysis and display either on-screen or on hardcopy.