Module information
Module details
- Title
- Introduction to Clinical Scientific Computing
- Type
- Rotation
- Module code
- S-CSC-R1
- Credits
- 10
- Phase
- 1
- Requirement
- Compulsory
Aim of this module
This module will introduce trainees to the laboratory practices and principles of quality, analysis and clinical scientific computing fundamental to practice as a Clinical Scientist in the Clinical Scientific Computing in Physical Sciences.
Work-based content
Training activities
| # | Learning outcome | Training activity | Type | Action |
|---|---|---|---|---|
| # 1 | Learning outcome 1,2,3,6 |
Training activities
Attend an interdisciplinary team meeting and reflect on the meeting |
Type OTA | Action View |
| # 2 | Learning outcome 1,2,3,6 |
Training activities
Shadow healthcare professionals in clinical scientific computing and reflect on their role(s) |
Type OTA | Action View |
| # 3 | Learning outcome 1,2,3,6 |
Training activities
Observe three different procedures undertaken in the department and reflect on the procedures |
Type OTA | Action View |
| # 4 | Learning outcome 1,2,3,6 |
Training activities
Follow patient data through the diagnostic/treatment pathway |
Type OTA | Action View |
| # 5 | Learning outcome 1,3,4,6 |
Training activities
Explore an innovation and/or emerging technology in clinical scientific computing and reflect on the impact this will have on practice |
Type OTA | Action View |
| # 6 | Learning outcome 1,3,5,6 |
Training activities
Review a practice in clinical scientific computing and how it is influenced by current/future legislation |
Type OTA | Action View |
| # 7 | Learning outcome 1,3,5,6 |
Training activities
Review the effect of evaluation on competing technologies and reflect on how this guides practice |
Type OTA | Action View |
| # 8 | Learning outcome 1,2,3,6 |
Training activities
Shadow three project stakeholders in clinical scientific computing and reflect on their roles |
Type OTA | Action View |
| # 9 | Learning outcome 1,3,5,6 |
Training activities
Review the quality management systems used in the software development lifecycle, reflect on how this guides practice |
Type OTA | Action View |
| # 10 | Learning outcome 1,2,3,6 |
Training activities
Shadow healthcare professionals in complementary IT functions in the healthcare environment and reflect on their roles(s) |
Type OTA | Action View |
Assessments
Complete 1 Case-Based Discussion
Complete 1 DOPS or OCE
Direct Observation of Practical Skills Titles
- Download a dataset and transfer to a clinical system.
- Install, configure and test a piece of clinical scientific software.
Observed Clinical Event Titles
- Gather a patient history relevant to clinical scientific computing from a patient, patient representative, or another member of the multidisciplinary team.
- Present a patient history relevant to clinical scientific computing to another healthcare professional.
- Explain the flow of data through a diagnostic/treatment pathway to a healthcare professional.
- Explain the specialist role of the scientific computing element of medical physics to a non-expert.
Learning outcomes
| # | Learning outcome |
|---|---|
| 1 | Explore the contribution of Clinical Scientific Computing Physical Sciences to patient care. |
| 2 | Identify the roles and relationships of the multidisciplinary team in Clinical Scientific Computing Physical Sciences. |
| 3 | Describe the working practices of Clinical Scientific Computing Physical Sciences. |
| 4 | Examine the impact of innovation in Clinical Scientific Computing Physical Sciences. |
| 5 | Review the effect of legislation in Clinical Scientific Computing Physical Sciences. |
| 6 | Compare and contrast the practice of Clinical Scientific Computing Physical Sciences with other specialties. |
Clinical experiences
Activities
There is no clinical experiential learning associated with this module.
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
On successful completion of this module the trainee will be able to:
- Critically examine the use of range of general-purpose computer software in common use.
- Demonstrate a critical awareness of the safeguards required when ‘the computer acts as a clinical device’.
- Describe the software lifecycle and the tools and frameworks used to specify, develop, validate and verify clinical software.
- Demonstrate extended understanding of the principles relating to ICT security including firewalls, virus protection, encryption, server access and data security, and information governance, including NHS security policies.
- Appraise the networking systems in common clinical use and relevant local organisational IT policies.
- Evaluate the principles of legislation and of local policies including the Data Protection Act, Computer Misuse Act and Freedom of Information Act.
Indicative content
- Spreadsheets.
- Databases.
- Reference resources.
- Patient management systems computers and the Medical Device Directive ICT security –
- Firewalls
- Virus protection
- Encryption
- Server access
- Data security
- The computer as a clinical device, including the role of MHRA, FDA and IEC (CE marking).
- An understanding of information governance, including NHS security policies including the Data Protection Act, Computer Misuse Act and Freedom of Information Act.
- Data exchange standards – DICOM and HL7 networking systems, software coding and coding management, real time system programming, embedded system programming and development web programming, artificial intelligence and expert systems.
- Application in medicine.
Module assigned to
Specialties
| Specialty code | Specialty title | Action |
|---|---|---|
| Specialty code SBI1-2-22 | Specialty title Clinical Scientific Computing [2022] | Action View |
| Specialty code SPE3-4-22 | Specialty title Clinical Engineering [2022] | Action View |
| Specialty code SBI1-3-22 | Specialty title Clinical Informatics [2022] | Action View |
| Specialty code SPE3-4-23 | Specialty title Clinical Engineering [2023] | Action View |
| Specialty code SBI1-3-23 | Specialty title Clinical Informatics [2023] | Action View |
| Specialty code SBI1-2-23 | Specialty title Clinical Scientific Computing [2023] | Action View |
| Specialty code SBI1-3-24 | Specialty title Clinical Informatics [2024] | Action View |
| Specialty code SPE3-4-24 | Specialty title Clinical Engineering [2024] | Action View |
| Specialty code SBI1-2-24 | Specialty title Clinical Scientific Computing [2024] | Action View |