Module Details

Module Code: BIOL9015
Title: Digital Health for Research
Long Title: Digital Health for Research
NFQ Level: Advanced
Valid From: Semester 1 - 2023/24 ( September 2023 )
Duration: 1 Semester
Credits: 5
Field of Study: 4211 - Biochemistry & Cell Biology
Module Delivered in: 1 programme(s)
Module Description: This module is designed to teach digital health in the health research context including ethical, legal, and social implications.

Digital tools, subsumed by the term health information technology, seem indispensable in the current landscape. “Digital Health” implies a lot more: mobile medical applications (apps), wearable devices, digital therapeutics, telehealth or digital biomarkers have a formative influence on medical and health research. Some innovations, such as the use of artificial intelligence in analysing big data even have the potential to change established ways of diagnostics or therapies to such an extent that they may be referred to as disruptive technologies.

This module focuses on information communication technology (interchangeably referred to as digital health/ehealth/informatics) and its application to health research
 
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Critically explore social, legal, ethical and technical issues as they apply to digital health.
LO2 Explore diverse issues within digital health e.g. genomics
LO3 Identify and critically analyse current and future contributions of ICT/digital health to how health research is delivered.
LO4 Adopt rigorous evaluation methods to identify potential opportunities for incorporating exponential technologies in health research
LO5 Appraise the use of classification systems in relation to digital health.
Dependencies
Module Recommendations

This is prior learning (or a practical skill) that is strongly recommended before enrolment in this module. You may enrol in this module if you have not acquired the recommended learning but you will have considerable difficulty in passing (i.e. achieving the learning outcomes of) the module. While the prior learning is expressed as named MTU module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module. You may not earn additional credit for the same learning and therefore you may not enrol in this module if you have successfully completed any modules in the incompatible list.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed
Requirements

This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed. You may not enrol on this module if you have not acquired the learning specified in this section.
No requirements listed
 
Indicative Content
Types of digital health technologies
Details of different categories in digital health e.g. mobile health (mHealth) apps, electronic health records (EHRs), wearable devices, telehealth
Regulatory considerations
Overview of the current regulatory environment in relation to digital health technologies from a global perspective
Ethical considerations
Overview of ethical consideration in digital health inclusive of the impact of digitalization (use of information and communication technologies- ICTs) on society and the environment. Ethical implications of digital transformation
Accessibility of digital health
Consideration of digital literacy Interaction design, prototyping, user experience evaluation before integration into data collection and analysis in study design
Module Content & Assessment
Assessment Breakdown%
Coursework100.00%

Assessments

Coursework
Assessment Type Reflective Journal % of Total Mark 40
Timing Week 7 Learning Outcomes 1,2,3
Assessment Description
Compendium of reviews into a report ensuring that the student is engaging in case study sessions. E.g. Continuous Glucose Monitoring (CGM)
Assessment Type Project % of Total Mark 40
Timing Week 10 Learning Outcomes 3,4,5
Assessment Description
Development of a digital health roadmap
Assessment Type Presentation % of Total Mark 20
Timing Sem End Learning Outcomes 3,4,5
Assessment Description
Defense of digital health roadmap
No End of Module Formal Examination
Reassessment Requirement
Coursework Only
This module is reassessed solely on the basis of re-submitted coursework. There is no repeat written examination.

The University reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact Delivers the concepts and theories underpinning the learning outcomes Every Week 2.00 2
Lab Contact Application of learning to case studies Every Second Week 1.00 2
Independent Learning Non Contact Student reads recommended books and papers and practices implementation Every Week 4.00 4
Total Hours 8.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 3.00
Workload: Part Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact Delivers the concepts and theories underpinning the learning outcomes Every Week 2.00 2
Lab Contact Application of learning to case studies Every Second Week 1.00 2
Independent Learning Non Contact Student reads recommended books and papers and practices implementation Every Week 4.00 4
Total Hours 8.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 3.00
 
Module Resources
Recommended Book Resources
  • Laurent Morillon (editor). (2020), Health Research Practices in a Digital Context, John Wiley & Sons, ProQuest Ebook Central, [ISBN: 9781119779933].
  • Roberta Bernardi et al (editors). (2021), The Bright Side and the Dark Side of Digital Health, Emerald Publishing Limited, [ISBN: 1-80382-114-0].
This module does not have any article/paper resources
This module does not have any other resources
 
Module Delivered in
Programme Code Programme Semester Delivery
CR_SNUHA_9 Master of Science in Nutrition & Health Analytics 1 Mandatory