Clinical Measurement and Development 1 (SPE324)

20 credits

Aim of this module

The Project Life Cycle

This module will enable the trainee to apply the project life cycle process to a range or specific example of Clinical Measurement.

Clinical Measurement

To ensure that the trainee can apply analytical and judgement skill to novel or complex clinical measurements and implement new clinical measurement solutions.


Important information

The academic parts of this module will be detailed and communicated to you by your university. Please contact them if you have questions regarding this module and its assessments. The module titles in your MSc may not be exactly identical to the work-based modules shown in the e-portfolio. Your modules will be aligned, however, to ensure that your academic and work-based learning are complimentary.

Learning Outcomes

  1. Describe the key principles of clinical measurements, including ethical considerations and the interface between technology and humans to ensure repeatable, accurate measurements.
  2. Explain and critically justify the need to apply engineering design principles to novel clinical measurement, software and electronic design solutions.
  3. Work within project management methodologies.
  4. Discuss the process of specifying, designing, implementing, validating and verifying a novel clinical measurement, software or electronic design solution.

Indicative Content

Software Engineering

  • The importance of engineering discipline in developing software
  • Overview of process models and their importance
  • Comparison of process models
  • Structured development methods (e.g. SSADM)
  • The software development cycle, including:
    • requirements o specification o   design
    • implementation
      • language selection
      • software coding and coding management
      • procedural, object-oriented and functional programming
      • real-time system programming
      • embedded system programming
    • validation and verification

Project Management

  • Risk management
  • Team management (personnel and technical)
  • Project planning (resource and technical)
  • Education and training
  • Cost estimation
  • Project scheduling

Software Quality Assurance

  • Configuration management and change control
  • Software tools
  • Standards
  • Documentation

Clinical Measurement

  • Detection of physiological signals and potential sources of interference
  • Normal ranges and abnormal results
  • Processing physiological signals
  • Safety issues relating to transducers and associated equipment
  • Sources of artefacts
  • Stimulation and evoked response techniques
  • Instrumentation and signal processing
  • Measurements in    organ    systems,    g.    cardiovascular,    respiratory, neurological, urological
  • Audiological and ophthalmological measurements
  • Ambulatory monitoring
  • Clinical validation and verification of developed systems

Medical Engineering Design

  • The design process, and description of the problem to be solved
  • Standards and requirements
  • Prototyping and testing
  • Technical communication
  • Project monitoring
  • Outcome evaluation