2022/23 Taught Postgraduate Module Catalogue

YCHI5086M Law, Ethics and Governance for Health Data Science

15 creditsClass Size: 40

Module manager: Dr Chris Smith
Email: c.j.smith@leeds.ac.uk

Taught: 1 Jan to 31 Mar View Timetable

Year running 2022/23

Pre-requisite qualifications

First degree in a relevant subject e.g. Social Sciences, STEMM, Nursing (or equivalent) 2:1 OR previous work experience (minimum 2 years) of handling and/or analysing data

IELTS 7 – minimum of 6.5 in each component

Module replaces

YCHI5015M

This module is not approved as an Elective

Module summary

This module introduces students to the legal, ethical and governance frameworks that are applicable to health data science. Students will also be introduced to technical and organisational safeguards that can be used in health data science projects. Students will develop their ability to analyse health data science projects with respect to their legal, ethical and governance implications and will be encouraged to consider some of the key legal, ethical and governance challenges posed by health data science.

Objectives

The purpose of this module is to:
- Provide students a solid grounding in the legal, ethical and professional guidelines that are relevant to research data use including Data Protection law, confidentiality and privacy, the principles of medical/research ethics and relevant GMC/NMC codes of practice
- Enable students to recognise and deal appropriately with legal and ethical dilemmas in research data use
- Equip students with the ability to evaluate the applicability and usefulness of a range of 'privacy enhancing techniques'

Learning outcomes
By the end of the module, students will be able to:
1. Describe and critically evaluate key legal, ethical and governance frameworks that are applicable to health data science in the United Kingdom
2. Critically analyse health data science projects with respect to their legal, ethical and governance implications
3. Demonstrate a critical understanding of the technical and organisational safeguards that can be applied in health data science projects
4. Demonstrate a sophisticated understanding of key legal, ethical and governance challenges posed by health data science and critically evaluate the application of technical and organisational safeguards

Syllabus

The module covers the following topic areas:
- Potential benefits and harms of health data science
- Legal frameworks applicable to health data science within the United Kingdom, including frameworks relating to privacy, data protection and confidentiality
- Ethical frameworks applicable to health data science, including frameworks relating to medical research and data-driven technologies
- Governance frameworks applicable to health data science, including research governance frameworks
- Technical and organisational safeguards, including security assurances, contracts and impact assessments

Teaching methods

Delivery type	Number	Length hours	Student hours
Group learning	2	2.00	4.00
Lecture	13	2.00	26.00
Private study hours			120.00
Total Contact hours			30.00
Total hours (100hr per 10 credits)			150.00

Private study

120 hours. Students will be expected to undertake further reading round the topic and to prepare for the group presentation.

Opportunities for Formative Feedback

The teaching format will encourage students to discuss and seek clarification from staff during the sessions.
Group presentations will be prepared and delivered by students as part of the module to provide an opportunity for ongoing feedback from teaching staff and peers.
Students will undertake a group learning task on a selected topic which will require the development and delivery of a presentation to peers at the end of the module.
Students will peer-review the presentations of other groups and share comments. Teaching staff will also provide feedback comments to each group.
Students will submit a formative 500 outline plan of the summative work for written feedback.

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
Report	3000 words	100.00
Assignment	Formative 500 word outline for summative	0.00
Presentation	Group presentation	0.00
Total percentage (Assessment Coursework)		100.00

The summative report will require students to analyse a provided case study / scenario with respect to applicable legal and ethical frameworks and to determine appropriate decisions / courses of action with respect to the scenario.

Reading list

There is no reading list for this module

Last updated: 18/10/2022

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