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Course profile

Digital Health in Clinical Practice (HLTH7002)

Study period
Sem 1 2026
Location
External
Attendance mode
Online

Course overview

Study period
Semester 1, 2026 (23/02/2026 - 20/06/2026)
Study level
Postgraduate Coursework
Location
External
Attendance mode
Online
Units
2
Administrative campus
Herston
Coordinating unit
Public Health School

This course introduces students to the evolving landscape of healthcare and the growing influence of digital technologies. It begins with an overview of health systems, exploring how access, equity, and clinical needs shape care delivery. Students then examine the foundations of digital health, including telehealth, core technologies, and their expanding role in clinical practice.

The course highlights how digital tools, particularly robust interoperable electronic medical record systems, support clinical decision making and effective patient management through improved access to 'right information on the right patient at the right time. It also explores how digital technology supports a patient’s right to equitable healthcare access and places patients central to their own health management through telehealth, remote monitoring, mobile health, electronic personal health records, and home‑based models of care.

Students investigate how multidisciplinary teams use digital solutions to coordinate care for complex patients, and they analyse emerging technologies such as AI and machine learning to facilitate proactive, predictive medicine. Real‑world examples of successful digital health implementation at organisational and national levels provide insight into what drives meaningful change.

Key challenges—including interoperability, privacy, security, compliance, and economic considerations—are examined alongside strategies for planning and evaluating digital health initiatives. The course concludes with a review of major concepts to prepare students for final assessment and real‑world application.

Teaching staff will host two live sessions (via Microssoft Teams) during the semester to help students prepare for assessment tasks 2 and 3. Details will be posted on the course assessment page.

Course contact

Course staff

Lecturer

Dr Sisira Edirippulige

Curriculum designer

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:

  1. Why do we need digital health technologies?
  2. How is technology reshaping healthcare?
  3. How do we implement digital health initiatives in clinical practice?
  4. 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 Assessment Task 1: Online MCQ
  • Online
30%

27/03/2026 5:00 pm

Essay/ Critique Assessment Task 2: Letter to the editor
  • Online
30%

24/04/2026 5:00 pm

Presentation Assessment Task 3: Video Presentation
  • Online
40%

29/05/2026 5:00 pm

Assessment details

Assessment Task 1: Online MCQ

  • Online
Mode
Written
Category
Essay/ Critique
Weight
30%
Due date

27/03/2026 5:00 pm

Learning outcomes
L01, L02, L03, L04, L05, L06

Task description

During Week 5 students will have access to the online multi-choice quiz. Students will have 1 attempt to sit the quiz prior to the due date/time. The quiz will comprise of 30 questions - each question is worth 1 mark. Students will have 40 minutes to complete the quiz. Questions are drawn from Weeks 1 -4 learning resources including required reading, lecture material, study guide (including learning activities outlined in the study guide.) Any learning resource material that is listed as 'Recommended' or 'Further Information' is not assessable.

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 14 days. Extensions are given in multiples of 24 hours.

A maximum extension of 14 days for each assessment item will be approved to ensure course progression and timely feedback. 

Students must apply via the formal channels.

Please see 10. Policies & Guidelines

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.

Please see 10. Policies & Guidelines

Assessment Task 2: Letter to the editor

  • Online
Mode
Written
Category
Essay/ Critique
Weight
30%
Due date

24/04/2026 5:00 pm

Learning outcomes
L01, L02, L03, L04, L05

Task description

Task Goal 

To demonstrate professional leadership and advocacy capabilities by applying critical self-reflection skills and discussing the understanding of key concepts and experiences of learning digital health and its application into the health system. 

You are expected to complete this Assessment offline and submit it via a link on the course assessment page (learn.uq.edu.au)

You are an academic expert in the field of digital health. For this assignment, you will write a letter to the editor to communicate your carefully considered scientific opinion about a recently published article in a journal,e.g. your letter challenges/provides an alternative viewpoint to the original published findings or provides/extends new information. This is a formal post-publication short communication. 

Task Brief:  

  1. Select an article published in a peer-reviewed journal describing a digital health innovation implemented in clinical practice in your particular area of professional or personal interest.  
  2. You can check the appropriateness of your chosen application with the Course Coordinator. 
  3. This is an individual assessment.  
  4. We exclusively use the UQ e-learning platform (learn.uq.edu.au) for the assessment.
  5. You will write an academic-style short article. 
  6. This letter must target an audience with an academic background or readers of peer-reviewed scholarly journals.  
  7. The word limit is 1000 – 1300 words (without references). A 10% on each side of the limit is permitted. 
  8. You will use the Vancouver referencing style, with a minimum of 10 academic references.   

Detailed instructions and marking rubric will be provided on the course assessment page

Submission guidelines

Via Course Assessment page (learn.uq.edu.au)

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.

A maximum extension of 14 days for each assessment item will be approved to ensure course progression and timely feedback. 

Students must apply via the formal channels.

Please see 10. Policies & Guidelines

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.

Please see 10. Policies & Guidelines

Assessment Task 3: Video Presentation

  • Online
Mode
Oral, Written
Category
Presentation
Weight
40%
Due date

29/05/2026 5:00 pm

Learning outcomes
L01, L02, L03, L04, L05, L06

Task description

Full instructions and marking rubric will be provided on the Course Assessment page following mid-semester break.

Task Goal 

To demonstrate professional leadership and advocacy capabilities by applying critical self-reflection skills and discussing the understanding of key concepts and experiences of learning digital health and its application into the health system. 

Students will choose 1 of 5 topics, research and critically appraised the relevant literature, then produce and present a 10-minute video presentation.

Task Description: 

Research, produce and record a 10-minute (+/- 1 minute) video presentation.

A MS Powerpoint template will be provided

 Task Brief: 

  1. This is an individual assessment.  
  2. Clearly outline the chosen topic, critically appraise the relevant literature, synthesise, condense and reference relevant findings
  3. Produce and record in a professional slide-deck format using the template provided.
  4. Cite references in accordance with Vancouver - refer to https://guides.library.uq.edu.au/referencing/vancouver-ama
  5. Reference Limits: minimum of 10 academic references, no maximum.
  6. Video presentation length: 10 minutes +/- 1 minute


Format

  1. Submission file format is strictly MP4 - do not submit as PPTX or MOV files; export your files to MP4 before submitting
  2. Check MP4 before submitting to ensure file is not corrupted
  3. Submit via the provided link on the Course Assessment page (learn.uq.edu.au)


Submission guidelines

Via link on the Course Assessment page (learn.uq.edu.au)

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.

A maximum extension of 7 days for each assessment item will be approved to ensure course progression and timely feedback. 

Students must apply via the formal channels.

Please see 10. Policies & Guidelines

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.

Please see 10. Policies & Guidelines

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.

The final grade awarded will be based on the results of the supplementary assessment only, and a passing grade will be awarded if, and only if, the student receives at least 50% of the marks on the supplementary assessment. 

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.

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Learning period Activity type Topic
Multiple weeks

From Week 1 To Week 4
(23 Feb - 22 Mar)

Problem-based learning

Module 1 : Positioning the digital health transformation of healthcare

Module 1 runs through Teaching Weeks 1-4. Each week students 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; an overview of health systems, access, equity and clinical practice needs. 

Week 2: Introduction to Digital Health, Pt 1; introduces students to the essential concepts of digital health and its technologies.  

Week 3: Introduction to Digital Health, Pt 2; explores the recent expansion of telehealth, its approaches, and its applicability in clinical practice.

Week 4: Digital Transformation - Quintuple Aim of Healthcare; discusses the need for digital transformation in healthcare, identification of important stakeholders, the impact/vision for improving population health and well-being. Workforce satisfaction and healthcare delivery economics are emphasised as equally important aspects.

Learning outcomes: L01, L02, L03, L04, L05

Multiple weeks

From Week 5 To Week 8
(23 Mar - 26 Apr)

Problem-based learning

Module 2: Digital health, the patient and the clinical team

Module 2 runs through Teaching Weeks 4-8.

Weekly learning resources include study guides, required and recommended reading, pre-recorded lectures & learning activities. Topics covered are:

Week 5: Digital health and the clinician. Highlighting the important role of digital health relative to right information on the right patient at the right time - focus on digital health tools, data and record-keeping systems for improved clinical decision making, diagnostic orders, follow up and management to ensure safe and effective continuity of care.

Week 6: Digital health and the patient. Explore the increasing role of the patient - remote monitoring, telehealth, mobile health and utility of electronic health records is explored. Telerehabilitation is used as an example of how patients can rehab effectively in their home post orthopaedic surgery.

Week 7: Digital health and the multi-disciplinary team. Using case-based learning, understand the vision of digital health for complex, chronically ill patients

Week 8:  AI and emerging technology - from reactive to proactive healthcare. Focus is  on the utility of AI/ machine learning applications for diagnostic testing and early intervention for the deteriorating patient. The use of algorithm based applications in healthcare diagnostic test screening and trend analysis of critical care telemetry are used as case examples.

Learning outcomes: L01, L02, L03, L04, L05, L06

Multiple weeks

From Week 9 To Week 13
(27 Apr - 31 May)

Problem-based learning

Module 3: Digital health & what is needed for success

Module 3 runs through Teaching Weeks 9-13. Students are provided with weekly learning resources, i.e. study guides, required and recommended reading, pre-recorded lectures & learning activities. Topics covered are:

Week 9: Digital health at the organisation level - what's working and making a difference? In Week 9 we will look at several examples of effective digital health implementation by organisation/country level. What makes them successful and who are the stakeholders?

Week 10: Interoperability, governance & compliance. Topic eleven explores sustainability, system interoperability, data privacy, security, compliance, and common reasons for the failure of digital clinical applications.

Week 11: Digital Health Implementation Strategies Part 1. Introduction to planning for success.

Week 12: Digital Health Implementation Strategies Part 2. Introduction to evaluation strategies

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:

Learn more about UQ policies on my.UQ and the Policy and Procedure Library.

Course guidelines

School of Public Health (SPH) Guidelines for late submission of progressive assessment - Preamble 

To apply for an extension to the due date for a piece of progressive assessment (eg assignments, oral presentations and computer-based assignments) students should complete the online request at https://my.uq.edu.au/information-and-services/manage-my-program/exams-and-assessment/applying-assessment-extension?p=2#2   

Information regarding deferral of in-semester exams and end-of-semester exams is available from https://my.uq.edu.au/information-and-services/manage-my-program/exams-and-assessment/deferring-exam   

If requesting an extension on medical grounds, a medical certificate must be provided. The extension will be approved for the number of days included in the medical certificate that the student was not fit to study or work, eg if the medical certificate is for 3 days only, an extension will be approved for 3 days maximum regardless of the student's request for further days.  

If requesting an extension using a Student Access Plan (SAP) as evidence, a maximum of 7-day extension will be approved in the first instance. Updated medical documentation, as well as a copy of the SAP, is required if requesting an extension for more than 7 days.  

A student may have a maximum of three extension requests approved for a single assessment task.     

An extension for an assessment item due within the study period in which the course is offered, must not exceed four weeks in total.  

The following SPH guidelines are consistent with the UQ policy. However, the SPH Guidelines  contain specific rules and interpretations for SPH courses, and requests for extension and penalties for late submissions will be judged according to the guidelines outlined in this document. You should read both the information in your my.UQ at the following link: https://my.uq.edu.au/information-and-services/manage-my-program/exams-and-assessment/applying-assessment-extension  and the SPH guidelines (below) before submitting a request for an extension. The SPH Guidelines apply to all courses offered by the School of Public Health unless the Course Profile explicitly states otherwise. 

 

SPH Guidelines for late submission of progressive assessment 

Initial extension for an individual item of assessment – the SPH Student & Academic Administration Team and/or the Course Coordinator decides. 

This could be for medical or compassionate reasons, or if, in the opinion of the Course Coordinator, there are exceptional circumstances. 

Acceptable and unacceptable reasons for an extension are listed at the following link, along with the required evidence to be provided: https://my.uq.edu.au/information-and-services/manage-my-program/exams-and-assessment/applying-assessment-extension?p=1#1  

A request for an extension to an assessment due date must be submitted through my.UQ as soon as it becomes evident that an extension is needed, but no later than one calendar day after the assessment task submission due date and time.   

If applying for an extension after the due date and time of the assessment item, your request may not be approved. An explanation as to why your request was not submitted prior must be included.  

If approved, a new due date will be set. This would generally be no later than 7 days after the original due date, however this can be modified to account for the circumstances of the request and the time that would have been lost from studies. 

If the new due date is past the date for submission of end-of-semester results, the student will receive an INC (incomplete) result. 

Second and all subsequent extensions for an individual item of assessment – the SPH Student & Academic Administration Team and/or the Program Convenor together with the Course Coordinator decides. 

This would only be approved for exceptional circumstance with supporting documentation. 

  • Online requests must be made at least 24 hours prior to the approved due date from the first extension. 
  • The SPH Student & Academic Administration Team and/or the Course Coordinator will consult with the Program Convenor, who will make the final decision. 
  • If approved, the new due date would generally be no later than 7 days after the first extension due date. 
  • The Program Convenor should consider if remedial or other support should be offered to the student. 
  • The Program Convenor should provide a report on these matters as needed at SPH Examiners’ Meetings. 

A student may have a maximum of three extension requests approved for a single assessment task.     

An extension for an assessment item due within the study period in which the course is offered, must not exceed four weeks in total.  

 

Please Note: To support course progression, extensions that total more than 14 calendar days from the original due date of an assessment item will only be approved in very exceptional circumstances. These requests are assessed and approved or denied on a case-by-case basis.  

If you have been ill or unable to attend class for more than 4 weeks in a semester, we advise you to carefully consider whether you are capable of successfully completing your courses this semester. You might need to consider Removal of Course. 

 

Penalty for late submission 

Submission of assignments, practical reports, workbooks, and other types of written assessments after the due date specified in the Course Profile will receive a penalty. 

The penalty will be a deduction of 10% RELATIVE PERCENTAGE per day (24 hour period or part thereof, including weekends and public holidays) or for work graded on a 1-7 scale, a deduction of one grade per day, e.g. If the original mark is 73%, then 10% relative percentage is 10% of this value, ie 7.3%, The final mark for this assessment item after applying the penalty for 1 day late submission would be 73 -7.3 = 65.7% The same outcome is achieved by multiplying the original score by .9; ie 73 x .9 = 65.7% 

The penalty for multiple days late is the relative percentage multiplied by the number of days late.  

A submission that is not made within 10 days of the due date will receive a mark of 0% for that assessment item. 

Where a student has sought more than one extension, the due date for calculating the penalty will be the due date for the most recently approved extension. 

Submission of Medical Certificates 

Students are responsible for ensuring that any medical documentation they submit is authentic and signed by a registered medical practitioner. Such practitioners can be identified via the AHPRA website. Also note that: 

  • Not all online medical services are staffed by registered practitioners 
  • If the registration status of the practitioner cannot be verified, then an alternative practitioner should be sought 
  • Students will be held fully responsible for all documentation they submit, even if done so in ignorance of the practitioner's registration status 

Medical documentation may be subjected to an audit by the University. 

SPH Assessment Guidelines 

The School of Public Health assessment tasks have been designed to be challenging, authentic and complex.  While students may use AI 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.  

A failure to reference AI use may constitute student misconduct under the Student Code of Conduct.  

To pass this assessment, students will be required to demonstrate detailed comprehension of their written submission independent of AI tools.