Module Descriptors
ANALYSIS AND MODELLING SYSTEMS
COIS40545
Key Facts
Faculty of Computing, Engineering and Sciences
Level 4
15 credits
Contact
Leader: Wilfred Eardley
Hours of Study
Scheduled Learning and Teaching Activities: 6
Independent Study Hours: 144
Total Learning Hours: 150
Assessment
  • COURSEWORK weighted at 100%
Module Details
Module Additional Assessment Details
Coursework 100%
Assessing all Learning Outcomes
Recommended word count = (3000 for 15 credit)

Students will be asked to complete a work based project which has been approved by both the employer and the University. The student will receive support from both an academic supervisor and a work based mentor.

Module Texts
Business Process Management: A Rigorous Approach - Martyn A Ould (2005)
ISBN: 978-1-902505-60-2
http://www.microsoft.com/uk/nhs/pages/process_modelling_community/features.aspx
http://www.institute.nhs.uk/quality_and_service_improvement_tools/
quality_and_service_improvement_tools/modelling_and_simulation.html
http://www.shureplan.co.uk/tools/Checklist/Checklist.html
http://www.networks.nhs.uk/uploads/06/06/combined_model_exec_summary.pdf
Module Special Admissions Requirements
To be employed in an area of ICT in a Healthcare setting
Only available for students on FCET Negotiated Undergraduate Awards


Module Resources
You will need access to these resources:

The NHS Data Dictionary.
Access to relevant hardware and software (including databases) provided within the workplace environment.
The Internet, a Web browser and search engine (e.g. MS Explorer/Google).
Microsoft Office for word processing and presentation graphics software for use in the coursework.
SU electronic learning resources and access to off-campus library facilities;
Module information on VLE (e.g. Blackboard). On-line communication and tele-meeting system (e.g. Dim-dim, MS Outlook).
Module Learning Strategies
This module is intended for work based learners, and the delivery approach will come from the planned integration of work-based skills and academic learning through work-based activities. Where possible the learning will take place in the workplace, using a combination of work activities, supported by private study, and using underpinning academic input provided by the University.
Where agreed, the University will deliver materials via VLE (e.g. Blackboard), Virtual classroom (e.g. DimDim), telephone conferencing and other appropriate technologies. There will be no specific requirement for students to attend the University whilst studying this module, but where appropriate, arrangements may be made for face to face meetings, or classroom based delivery.
Module Indicative Content
Use of information and knowledge in decision making models
Introduction to :-
NHS data sources and collection systems.
NHS Data Dictionary and entity relationships
Healthcare delivery systems ¿ activity and performance measurement.
-related security issues attached to the use of information and knowledge
Transformation of raw data into information. Defining the question.
- ways in which effective modelling can contribute to improvements in the delivery of care and organisational effectiveness
Single System models -Basic Analysis- single point views and trend forecasting ¿ line fitting ¿ simple scenario modelling.
Complex systems- multiple variables- weighting and sensitivity- assessment of validity
Prediction systems- eg PARR tool
Overview of:-Information Presentation.
Methods of presenting information- target audience and level of need.
Timeliness and availability
Summarising the picture- OLAP, cubes and dashboard tools.
With Reference to:- Keeping up with Changing Requirements
changing information needs of users and how to maintain the relevance of information and knowledge services to the way healthcare services are organised and delivered.