Course coordinator
Associate Professor Sebastiano Barbieri
Course overview
- Study period
- Semester 2, 2024 (22/07/2024 - 18/11/2024)
- Study level
- Postgraduate Coursework
- Location
- External
- Attendance mode
- Online
- Units
- 2
- Administrative campus
- St Lucia
- Coordinating unit
- Elec Engineering & Comp Science School
This course will support people currently working in health care systems or who seek careers in health care systems to engage effectively with digital health in practice for the benefit of patients. Students will gain an understanding and appreciation of clinical governance, ethics and information management as well as the practical aspects of introducing and working with new technology in different working environments.
This course will assist students to develop skills in selecting and implementing digital health technologies to address real-world challenges. Students will explore different aspects of digital health implementation including identifying barriers to adopting new technology; developing problem statements; clinical governance, privacy, and ethics; communication strategies; and using digital health and clinical informatics to advance the provision of evidence-based care. Students will also learn about the procurement process within a healthcare setting and how to prepare a healthcare budget in the context of digital health implementation.
Over the 13-week online program, students will develop a coherent understanding of clinical, business, and technological terminologies and processes required to implement digital health in various healthcare systems. Students will also learn from industry-leading champions on existing digital health projects and how to successfully navigate the diverse healthcare landscape. ﾠIn the conclusion of this course, students will prepare a digital health implementation plan of a technology to address a self-selected challenge in a real-world health context.
Course contact
Lecturer
Associate Professor Sebastiano Barbieri
Timetable
The timetable for this course is available on the UQ Public Timetable.
Additional timetable information
Tutorials are offered online from 5-7pm on Tuesday each week of semester.
Aims and outcomes
The objective of this course aims to empower students to design and create a digital health implementation plan to deliver high-quality, accessible and efficient healthcare solutions in contemporary health settings.
Learning outcomes
After successfully completing this course you should be able to:
LO1.
Use an ethical, evidence-based, and clinically governed approach to select a digital health intervention in various settings.
LO2.
Analyse the stakeholder perspectives, barriers, and facilitators of digital health interventions on local and organisational levels
LO3.
Lead an evidence-based digital health intervention specific to your own context
LO4.
Evaluate the clinical, business, and technological processes of various digital health initiatives and settings
Assessment
Assessment summary
| Category | Assessment task | Weight | Due date |
|---|---|---|---|
| Paper/ Report/ Annotation | Annotated Bibliography & Synthesis | 20% |
19/08/2024 |
| Presentation | Digital health intervention pitch | 30% |
20/09/2024 |
| Paper/ Report/ Annotation, Project | Project Management Plan for Implementation (PMPI) | 40% |
21/10/2024 |
| Notebook/ Logbook | Digital workbooks for each module | 10% |
29/07/2024 - 7/10/2024
Workbooks will be due every Tuesday at 4:00pm from Week 2 - Week 11. |
Assessment details
Annotated Bibliography & Synthesis
- Mode
- Written
- Category
- Paper/ Report/ Annotation
- Weight
- 20%
- Due date
19/08/2024
- Learning outcomes
- L01
Task description
This assessment starts the process of you designing an implementation plan for a digital health intervention in a healthcare setting of your choice. You will demonstrate your understanding of the challenges faced by the existing healthcare setting and how digital health can address these challenges.
Individually, you will create a 10-item annotated bibliography and a 300-word synthesis of the evidence, then conclude with a problem statement. In the synthesis, you will briefly outline the healthcare setting of your choice and create a problem statement. Your problem statement will define a challenge faced by the healthcare setting that can be addressed by a digital health intervention. Discuss why this problem needs to be addressed and how it will advance the Quadruple aim of healthcare.
Submission guidelines
The assignment should be uploaded electronically using Turn-it-in through the course Blackboard site. A submission portal will be made available via Blackboard.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 14 days. Extensions are given in multiples of 24 hours.
Marked submissions with feedback and/or detailed solutions with feedback will be released to students within 21-28 days, where the earlier time frame applies if no extensions.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
Digital health intervention pitch
- Mode
- Product/ Artefact/ Multimedia
- Category
- Presentation
- Weight
- 30%
- Due date
20/09/2024
- Learning outcomes
- L01, L02, L03
Task description
Throughout this course, you have been developing the knowledge and skills to implement a digital health intervention in a healthcare service. This assessment is an opportunity for you to apply your understanding of the course content to a setting specific to you in an oral pitch. In this task, your operational unit would likely comprise the clinicians who form part of the transplant team. For example, if you are introducing an ieMR dashboard for patients undergoing lung transplant, your operational unit would likely be the clinician’s part of the transplant team. Ensure that your presentation is targeted and addresses the specific needs for your audience.
Submission guidelines
The assignment should be uploaded electronically using Turn-it-in through the course Blackboard site. A submission portal will be made available via Blackboard.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 14 days. Extensions are given in multiples of 24 hours.
Marked submissions with feedback and/or detailed solutions with feedback will be released to students within 21-28 days, where the earlier time frame applies if no extensions.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
Project Management Plan for Implementation (PMPI)
- Mode
- Written
- Category
- Paper/ Report/ Annotation, Project
- Weight
- 40%
- Due date
21/10/2024
- Learning outcomes
- L01, L02, L03, L04
Task description
You are to work individually to prepare a Project Management and Plan for Implementation (PMPI). A PMPI is a multiple page document that clearly outlines the implementation strategy. The report includes written sections that outline various strategies and summaries of assessments that have been/will be undertaken. These sections and topics are covered and discussed extensively in detail over this course. You are strongly encouraged to continue with the digital health intervention submitted for assessment from earlier in the course. Changes to the digital health intervention and healthcare setting can be discussed with the course coordinator on an individual basis.
Submission guidelines
The assignment should be uploaded electronically using Turn-it-in through the course Blackboard site. A submission portal will be made available via Blackboard.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
Digital workbooks for each module
- Mode
- Written
- Category
- Notebook/ Logbook
- Weight
- 10%
- Due date
29/07/2024 - 7/10/2024
Workbooks will be due every Tuesday at 4:00pm from Week 2 - Week 11.
- Learning outcomes
- L01, L02, L03, L04
Task description
Each week's digital workbook will contain activities for you to show your understanding of the corresponding learning module and to contribute your personal opinions and experiences in digital health.
Submission guidelines
Workbooks should be uploaded electronically using Turn-it-in through the course Blackboard site. A submission portal will be made available via Blackboard.
Deferral or extension
You cannot defer or apply for an extension for this assessment.
To accommodate unforeseen circumstances such as illness, your workbook score will be based on the best 8 of 10 submissions.
Late submission
You will receive a mark of 0 if this assessment is submitted late.
Course grading
Full criteria for each grade is available in the Assessment Procedure.
| Grade | Cut off Percent | Description |
|---|---|---|
| 1 (Low Fail) | 0 - 34 |
Absence of evidence of achievement of course learning outcomes. Course grade description: A cumulative percentage from all assessments of 0 - 34%. |
| 2 (Fail) | 35 - 44 |
Minimal evidence of achievement of course learning outcomes. Course grade description: A cumulative percentage from all assessments of 35 - 44%. |
| 3 (Marginal Fail) | 45 - 49 |
Demonstrated evidence of developing achievement of course learning outcomes Course grade description: A cumulative percentage from all assessments of 45 - 49%. |
| 4 (Pass) | 50 - 64 |
Demonstrated evidence of functional achievement of course learning outcomes. Course grade description: A cumulative percentage from all assessments of 50 - 64%. |
| 5 (Credit) | 65 - 74 |
Demonstrated evidence of proficient achievement of course learning outcomes. Course grade description: A cumulative percentage from all assessments of 65 - 74% |
| 6 (Distinction) | 75 - 84 |
Demonstrated evidence of advanced achievement of course learning outcomes. Course grade description: A cumulative percentage from all assessments of 75 - 84%. |
| 7 (High Distinction) | 85 - 100 |
Demonstrated evidence of exceptional achievement of course learning outcomes. Course grade description: A cumulative percentage from all assessments of 85 - 100%. |
Additional course grading information
Final marks falling between whole percentages will be rounded to the nearest whole percentage. Tie-breaking will be conducted using the round half up method whereby half-way values are always rounded up, meaning, for example, that 89.5% and above will be rounded to 90% and 89.49% and below will be rounded down to 89%.
ﾠ
Supplementary assessment
Supplementary assessment is available for this course.
Additional assessment information
Use of AI
Artificial Intelligence (AI) and Machine Translation (MT) are emerging tools that may support students in completing this assessment task. Students may appropriately use AI and/or MT in completing this assessment task. Students must clearly reference any use of AI or MT in each instance.
A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.
Due Times for Assessment
All assessment/exam times are scheduled in Australian Eastern Standard time. If you are not in Queensland, please ensure you take any time differences into account.
ﾠ
Learning resources
You'll need the following resources to successfully complete the course. We've indicated below if you need a personal copy of the reading materials or your own item.
Library resources
Library resources are available on the UQ Library website.
Learning activities
The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.
Filter activity type by
Please select
| Learning period | Activity type | Topic |
|---|---|---|
Week 1 |
Workshop |
Introduction Learning outcomes: L01, L02 |
Week 2 |
Workshop |
Intervention Frameworks Learning outcomes: L01, L02 |
Week 3 |
Workshop |
Building a problem statement Learning outcomes: L01, L02 |
Week 4 |
Workshop |
Digital Health Interventions Learning outcomes: L01, L02 |
Week 5 |
Workshop |
Clinical Governance, Leadership & Policy Learning outcomes: L01, L02 |
Week 6 |
Workshop |
Privacy & Ethical Considerations Learning outcomes: L01, L04 |
Week 7 |
Workshop |
Client-Centred Usability/Human Centred Design Learning outcomes: L02, L04 |
Week 8 |
Workshop |
Evaluations & Outcomes Measures Learning outcomes: L03, L04 |
Week 9 |
Workshop |
Planning Procurement Learning outcomes: L01, L04 |
Week 10 |
Workshop |
Procurement & Vendor Engagement & Assessment Prep Learning outcomes: L02, L03, L04 |
Week 11 |
Workshop |
Budgets & Resources Learning outcomes: L02, L03, L04 |
Week 12 |
Workshop |
Clinical Terminologies Learning outcomes: L04 |
Week 13 |
Workshop |
Clinical Coding Systems & Wrap-up Learning outcomes: L04 |
Policies and procedures
University policies and procedures apply to all aspects of student life. As a UQ student, you must comply with University-wide and program-specific requirements, including the:
- Student Code of Conduct Policy
- Student Integrity and Misconduct Policy and Procedure
- Assessment Procedure
- Examinations Procedure
- Reasonable Adjustments - Students Policy and Procedure
Learn more about UQ policies on my.UQ and the Policy and Procedure Library.
School guidelines
Your school has additional guidelines you'll need to follow for this course: