Course overview
- Study period
- Semester 2, 2025 (28/07/2025 - 22/11/2025)
- Study level
- Postgraduate Coursework
- Location
- External
- Attendance mode
- Online
- Units
- 2
- Administrative campus
- Herston
- Coordinating unit
- Health, Med & Behav Science Fac
The course focuses on planning, designing, and implementing digital health technologies into the healthcare system and clinical practice. This course emphasises the digital transformation of healthcare services and the need for upskilling students in change management. This course uses narrative digital learning practices to guide students through a transformative journey from digital health novices to effectively using and applying digital health technologies in clinical practice. The distinctly different sectors of hospital, community (primary care), and home will be explored, along with the significant digital health technologies relevant to each sector. In addition, students will examine how technology can support and engage the consumer in self-care 'wellness', priorities of governments as they seek to ensure future good population health. Implementation of information and communication technologies (ICT) in Australia and other developed and developing nations will be covered.
Course contact
School enquiries
School enquiries
Medical School Student and Academic Administration
Course staff
Lecturer
Timetable
Additional timetable information
This course is delivered online, so there is no class timetable available on SI-net. The learning activities are outlined in Section 4 of the Course Profile and further details are provided through the course Learn.UQ (Blackboard) site.
Aims and outcomes
Course Aims: This course introduces students to planning, implementing and evaluating digital health interventions in clinical practice. Students will identify the needs of ICT and its increasing role in healthcare. Students will investigate a range of e-health technologies in the areas of clinical practice, health education, health administration and research. Throughout this course, we will address several key questions:
- Why do we need digital health technologies?
- How is technology reshaping healthcare?
- How do we implement digital health initiatives in clinical practice?
- How do we sustain digital health interventions in clinical practice?
By the end of this course, students will be able to develop comprehensive plans for digital health interventions, implement and evaluate digital health technologies in clinical practice, analyse the impact of digital health technologies on healthcare delivery and understand the role of ICTs in healthcare and clinical practice from a critical lens.
Learning outcomes
After successfully completing this course you should be able to:
LO1.
Understand the relevance and importance of digital health within safe and effective patient-centred care.
LO2.
Apply digital health solutions in clinical practice scenarios.
LO3.
Evaluate the impact of digital health interventions on patient care and outcomes.
LO4.
Develop strategies for implementing digital health in diverse healthcare settings.
LO5.
Understand the future of digital health in Australia regarding healthcare priorities and the aging population.
LO6.
Reflect on the suitability of digital tools, applications and information sites to improve population health literacy.
Assessment
Assessment summary
| Category | Assessment task | Weight | Due date |
|---|---|---|---|
| Essay/ Critique, Reflection |
Assessment Task 1: Reflection (Online)
|
15% |
22/08/2025 5:00 pm |
| Essay/ Critique, Reflection |
Assessment Task 2: Reflection (Online)
|
15% |
12/09/2025 5:00 pm |
| Quiz |
Assessment Task 3: Multi-Choice Quiz (Online)
|
30% |
22/09/2025 - 26/09/2025
Available to sit during Teaching Week 9, from 22 Sep 25 at 8:00 to 26 Sep 25 at 17:00 (AEST). |
| Essay/ Critique, Presentation |
Assessment Task 4: Video Presentation
|
40% |
31/10/2025 5:00 pm |
Assessment details
Assessment Task 1: Reflection (Online)
- Online
- Mode
- Written
- Category
- Essay/ Critique, Reflection
- Weight
- 15%
- Due date
22/08/2025 5:00 pm
- Learning outcomes
- L01, L02, L05, L06
Task description
Task Description: You will be asked to reflect on your professional practice by describing a digital health tool or intervention you believe could enhance interdisciplinary collaboration and integrated care in their context. Modalities such as Clinical Decision Support Systems (CDSS), My Health Record (MyHR), integrated Electronic Medical Records (iEMR), video consultations (VC), multidisciplinary team (MDT) meetings, and eConsults, may be listed, although students are not limited to these examples.
Evidence around clinical effectiveness, service delivery and cost of the chosen tool should be summarised. You can use one or more domains of the quintuple aim of healthcare (Improving Patient Experience, Improving Population Health; Reducing Healthcare Costs; Improving Clinician experience; Advancing Health Equity) to frame the evidence.
Submission Guideline:
1. This is an individual assessment.
2. We exclusively use the UQ e-learning platform Learn.UQ (Blackboard) for the submission.
3. You will write an academic-style reflection, argumented with high-quality scientific evidence.
4. The word limit is 300 – 500 words (without references). A 10% on each side of the limit is permitted.
5. You will use the Vancouver referencing style, with a minimum of 3 academic references.
There will be specific marking criteria for this reflection. Full instructions/marking criteria will be uploaded to the Course Assessment page on Blackboard.
Submission guidelines
Via Turnitin link on the Course Assessment page Learn.UQ (Blackboard)
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 7 days. Extensions are given in multiples of 24 hours.
Students must apply via the formal channels.
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.
Assessment Task 2: Reflection (Online)
- Online
- Mode
- Written
- Category
- Essay/ Critique, Reflection
- Weight
- 15%
- Due date
12/09/2025 5:00 pm
- Learning outcomes
- L01, L02, L03, L05, L06
Task description
Task Description: You will be asked to reflect on your professional practice by describing how one of the following planning tools could enhance the implementation of a digital health intervention in their workplace.
· Program Logic Model
· Stakeholder engagement
· Data management
You will be advised to choose the same digital health intervention they chose to describe on assessment task 1.
Submission Guideline:
1. This is an individual assessment.
2. We exclusively use the UQ e-learning platform Learn.UQ (Blackboard) for the submission.
3. You will write an academic-style reflection, argumented with high-quality scientific evidence.
4. The word limit is 300 – 500 words (without references). A 10% on each side of the limit is permitted.
5. You will use the Vancouver referencing style, with a minimum of 3 academic references.
Submission guidelines
On Learn.UQ (Blackboard) via Course Assessment page
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 7 days. Extensions are given in multiples of 24 hours.
Students must apply via the formal channels.
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.
Assessment Task 3: Multi-Choice Quiz (Online)
- Online
- Mode
- Activity/ Performance
- Category
- Quiz
- Weight
- 30%
- Due date
22/09/2025 - 26/09/2025
Available to sit during Teaching Week 9, from 22 Sep 25 at 8:00 to 26 Sep 25 at 17:00 (AEST).
- Learning outcomes
- L01, L02, L03, L04, L05, L06
Task description
This multiple-choice quiz is designed to test your knowledge and understanding of learning associated with Week 1 to Week 8 material. The assessment will contribute up to 30% of your total marks for the course. The multiple-choice quiz comprises of 30 questions, each question is worth 1 mark. This is an online timed quiz that will be made available via the Learn.UQ (Blackboard) Course Assessment page. It is compulsory that you attempt this quiz. You must complete it in one sitting, you cannot save and return to it at a later date.
Submission guidelines
Via Turnitin link on the Course Assessment page Learn.UQ (Blackboard)
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 7 days. Extensions are given in multiples of 24 hours.
Students must apply via the formal channels.
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.
Assessment Task 4: Video Presentation
- Online
- Mode
- Oral, Written
- Category
- Essay/ Critique, Presentation
- Weight
- 40%
- Due date
31/10/2025 5:00 pm
- Learning outcomes
- L01, L02, L03, L04, L05, L06
Task description
Task Description: At the end of Week 13, you will narrate a digital health solution for a short problem/case study embedded into a PowerPoint presentation. You are required to select one case listed in the task sheet, then research, produce and submit the assessment using the provided PowerPoint template. Instructions and template slides will be provided on Learn.UQ (Blackboard) Assessment page. The expected length of presentation is 10 min (+/-2min). Full instructions will be made available during Teaching Week 8.
Submission: via Learn.UQ (Blackboard)
Full instructions and marking criteria will be provided on the Course Assessment page.
Submission guidelines
On Learn.UQ (Blackboard) – Course Assessment page
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.
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.
Students must apply via the formal channels.
Course grading
Full criteria for each grade is available in the Assessment Procedure.
| Grade | Cut off Percent | Description |
|---|---|---|
| 1 (Low Fail) | 0 - 24 |
Absence of evidence of achievement of course learning outcomes. Course grade description: Attains an overall mark less than 25%. |
| 2 (Fail) | 25 - 44 |
Minimal evidence of achievement of course learning outcomes. Course grade description: Attains an overall mark of at least 25% but less than 45%. |
| 3 (Marginal Fail) | 45 - 49 |
Demonstrated evidence of developing achievement of course learning outcomes Course grade description: Attains an overall mark of at least 45% but less than 50%. Please note: Students will be unable to achieve a grade above 3 if they do not complete all assessment items, regardless of overall course performance. |
| 4 (Pass) | 50 - 64 |
Demonstrated evidence of functional achievement of course learning outcomes. Course grade description: Attains an overall mark of at least 50% but less than 65%. Please note: To achieve a grade of 4 or above, students mustﾠcomplete and submit all assessment items. |
| 5 (Credit) | 65 - 74 |
Demonstrated evidence of proficient achievement of course learning outcomes. Course grade description: Attains an overall mark of at least 65% but less than 75%. |
| 6 (Distinction) | 75 - 84 |
Demonstrated evidence of advanced achievement of course learning outcomes. Course grade description: Attains an overall mark of at least 75% but less than 85%. |
| 7 (High Distinction) | 85 - 100 |
Demonstrated evidence of exceptional achievement of course learning outcomes. Course grade description: Attains an overall mark of at least 85%. |
Additional course grading information
Students are required to complete and submit all Assessment items to pass this course.
Calculation of Final Grade
The percentage mark for this course is reached by calculating the weighted average percentage mark achieved across the marked assessment tasks. The total of the weighted assessment tasks for the course will be rounded to two decimal points if required, with the final mathematical rounding to an integer at the end yielding a percentage mark. A mark of x.5% or greater will be rounded up to (x+1)%. A percentage mark of less than x.5% will be rounded down to x%.
Supplementary assessment
Supplementary assessment is available for this course.
Additional assessment information
Please note that all submission dates for assessments are in Brisbane time - Australian Eastern Standard Time (AEST).
To pass this course you need to submit all Assessment items. You do not have to pass each assessment piece individually but need to gain 50% or more to pass overall.
Note - half marks may be given.
Artificial Intelligence
Artificial Intelligence (AI) provides emerging tools that may support students in completing some assessments. Students may appropriately use AI in completing their assessment tasks for this course unless otherwise indicated by the Course Coordinator. Students must clearly describe and reference any use of AI in each instance.
A failure to reference AI use may constitute student misconduct under the Student Code of Conduct.
Please be aware that assessments in this course have been designed to be challenging, authentic and complex. Whilst students may use AI and/or MT technologies, successful completion of assessment in this course will require students to critically engage in specific contexts and tasks for which artificial intelligence will provide only limited support and guidance.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 |
|---|---|---|
Multiple weeks From Week 1 To Week 4 |
Problem-based learning |
Module 1 : Positioning the digital health transformation of healthcare Module 1 runs through Teaching Weeks 1-4. Each week you will be provided with a study guide, pre-recorded lecture(s), reading and learning activity material. Topics covered are: Week 1: Overview of the Healthcare systems. Topic one will provide an overview of health systems, access, equity and clinical practice needs. Week 2: Introduction to Digital Health, pt 1. Topic two will explore essential concepts of digital health and its technologies. Week 3: Introduction to Digital Health, pt 2. Topic three explores the recent expansion of telehealth, its approaches, and its applicability in clinical practice. Week 4: Digital Transformation: Quintuple Aim of Healthcare. Topic four will discuss the need for digital transformation in healthcare and its impact on populations’ health and well-being. Learning outcomes: L01, L02, L03, L04, L05 |
Multiple weeks From Week 5 To Week 8 |
Problem-based learning |
Module 2: Data quality and information enabled care and services Module 2 runs through Teaching Weeks 5-8. Weekly learning resources include study guides, required and recommended reading, pre-recorded lectures & learning activities. Topics covered are: Week 5: Planning Tools pt 1. Introduction to Program Logic Model. Topic five will explore the foundations of planning interventions in digital health. Week 6: Planning Tools pt 2: Stakeholder engagement. Topic six will provide an overview of stakeholder engagement as a key element for planning digital health interventions. Week 7: Planning Tools pt 3: Practical data management. Topic seven will provide an overview of the tools needed for data management and ensure data quality when planning a digital health intervention. Week 8: Data Analysis, Ethics, Governance and Quality: Topic eight integrates concepts of ethics, governance and quality to plan effective and sustainable digital health interventions Learning outcomes: L01, L02, L03, L04, L05, L06 |
Multiple weeks From Week 9 To Week 13 |
Problem-based learning |
Module 3: Leading Change and Digital Health Transformation Module 3 runs through Teaching Weeks 9-13. You are provided with weekly learning resources, i.e. study guides, required and recommended reading, pre-recorded lectures & learning activities. Topics covered are: Week 9: Clinical Decision Making. Topic nine discusses the potential of digital health technologies to support clinical decision-making. Week 10: Introduction to Evaluation Frameworks and design for efficient digital health implementation. Week 11: Integration Strategies: Topic eleven explores sustainability, system interoperability, data privacy, security, compliance, and common reasons for the failure of digital clinical applications. It also overviews the funding system and economic evaluation of Australia's current digital health model. Week 12: Digital Health Implementation Strategies and Enterpreneurship. Partnerships and Communication for Evaluation. Week 13: Digital Health Transformation: Summary (Review) In the final teaching week, we will review the important concepts discussed throughout the course to assist in preparation for the final Assessment. Learning outcomes: L01, L02, L03, L04, L05, L06 |
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 for Students Policy and Procedure
Learn more about UQ policies on my.UQ and the Policy and Procedure Library.