Module information
Module details
- Title
- Introduction to Digital, Data and Technology in Cellular Pathology
- Type
- Rotation
- Module code
- S-H-R3
- Credits
- 10
- Phase
- 1
- Requirement
- Compulsory
Aim of this module
This module will introduce trainees to the principles, application, impact and wider multidisciplinary team involved in the management of digital, data and technology relating to cellular pathology.
Work-based content
Training activities
| # | Learning outcome | Training activity | Type | Action |
|---|---|---|---|---|
| # 1 | Learning outcome 1,2,3,6 |
Training activities
Attend a meeting where genomic data is discussed in context of histopathology and reflect on the meeting |
Type OTA | Action View |
| # 2 | Learning outcome 1,2,3,6 |
Training activities
Shadow members of the multidisciplinary team managing data within cellular pathology departments and reflect on their role |
Type OTA | Action View |
| # 3 | Learning outcome 1,2,3,6 |
Training activities
Observe the scanning of histological slides for digital reporting or teaching and reflect on the process |
Type OTA | Action View |
| # 4 | Learning outcome 1,2,3,6 |
Training activities
Follow a slide through a digital reporting pathway and reflect on the journey |
Type OTA | Action View |
| # 5 | Learning outcome 1,3,4,6 |
Training activities
Explore the development of a digital technological advance in cellular pathology and reflect on the impact on the working practices of the department |
Type OTA | Action View |
| # 6 | Learning outcome 1,3,5,6 |
Training activities
Review the impact of information governance on the digitisation of cellular pathology services and reflect on how this guides practice |
Type OTA | Action View |
| # 7 | Learning outcome 1,2,3,6 |
Training activities
Shadow a Consultant Pathologist/Scientist reporting a case with integrated histopathology and molecular pathology testing and reflect on their role and the process |
Type OTA | Action View |
| # 8 | Learning outcome 1,2,3,6 |
Training activities
Observe retrieval of information relating to cellular pathology from a database and reflect on the process |
Type OTA | Action View |
| # 9 | Learning outcome 1,2,3,6 |
Training activities
Observe the process for capturing macroscopic and microscopic images and reflect on the process |
Type OTA | Action View |
| # 10 | Learning outcome 1,2,3,6 |
Training activities
Follow clinical data through a digital pathway in specialty outside pathology and reflect on the pathway |
Type OTA | Action View |
Assessments
Complete 1 Case-Based Discussion
Complete 1 DOPS or OCE
Direct Observation of Practical Skills Titles
- Scan a case for digital reporting or teaching.
- Capture a macroscopic or microscopic image.
- Extract turnaround time and/or cancer data from a database.
Observed Communication Event Titles
- Gather a patient history relevant to the specialty from a patient, patient representative, or member of the multidisciplinary healthcare team.
- Present the clinical history of a biopsy specimen, explaining the reasons for the biopsy and the clinical questions being asked.
Learning outcomes
| # | Learning outcome |
|---|---|
| 1 | Explore the contribution of digital, data and technology in Cellular Pathology to patient care. |
| 2 | Identify the roles and relationships of the multidisciplinary team working with digital, data and technology in Cellular Pathology. |
| 3 | Describe the working practices applied to digital, data and technology in Cellular Pathology. |
| 4 | Examine the impact of innovation in digital, data and technology in Cellular Pathology. |
| 5 | Review the effect of legislation in digital, data and technology in Cellular Pathology. |
| 6 | Compare and contrast the application of digital, data and technology in Cellular Pathology 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 evaluate how digital pathology images are captured and a digital report is generated.
- Evaluate and discuss machine learning and artificial intelligence and their application to digital pathology, including the concepts of coding and analysis of bioinformatic data.
- Discuss the digitisation of analogue services and the impact on cellular pathology and for the patient pathway, including evaluation of the range of data storage methods and the importance of data security.
Indicative content
- Techniques and theory of image capture and image analysis in digital pathology.
- The role of digital pathology reporting.
- Machine learning and artificial intelligence and its overlap with digital pathology.
- Coding and analysis of ‘big data’ in the context of pathology bioinformatic data.
- Impact of digital technologies in cellular pathology and how it will change the service.
- Understanding of data storage, retrieval, interpretation and digital security.
- Digitisation of an analogue service and comparisons, e.g. digitisation in other countries and radiology digitisation.