Module information

Module details

Title
Clinical Measurement and Development 1
Type
Specialist
Module code
SPE324
Credits
20
Requirement
Compulsory

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.

 

Work-based components

Submodules

Code Title Action
SPE324c1 The Project Life Cycle View
SPE324c3 Clinical Measurement View

Academic content (MSc in Clinical Science)

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

Clinical experiences

Important information

Clinical experiential learning is the range of activities trainees may undertake in order to gain the experience and evidence to demonstrate their achievement of module competencies and assessments. The list is not definitive or mandatory, but training officers should ensure, as best training practice, that trainees gain as many of these clinical experiences as possible. They should be included in training plans, and once undertaken they should support the completion of module assessments and competencies within the e-portfolio.

Activities

Clinical Measurement

  • Record complex electrophysiology data such as for a novel clinical measurement and present numerically and graphically the main faindings. 

The Project Life Cycle

  • Review a number of completed projects within their organisation, understand the clinical and scientific background, discuss with colleagues the development life cycle and suggest alternatives and/or improvement. 
  • Review ongoing projects within their organisation, understand the clinical and scientific background, be able to identify the stage in the development life cycle the projects are at and suggest ways of taking them forward. 
  • Undertake a new project or projects, applying the life cycle process from the concept stage right through to design, development, validation and verification relating to a novel medical device, novel software or a novel clinical measurement. 
  • Programming using an appropriate language (e.g. C++, MS VBA-Excel, Matlab, Java) to reduce and report clinical measurement or other laboratory data. 
  • Development of prototype web-based applications for clinical applications.