Outline

Overview

This unit of study aims to provide senior students with a range of experiences on which they can make evidence based decisions about digital health. In particular, this unit will provide students with opportunities to examine how emerging technologies affect interdisciplinary communication and healthcare, strategies for interacting with patients and clients using different technologies, the opportunities technology presents in different Australian health contexts by drawing upon their clinical experiences and research literature, and the challenges surrounding digital health uptake and use in practice. Students will develop skills identified as key for future clinicians. This unit will also enhance students as learners by providing them with reflective learning skills, interdisciplinary health experiences, and opportunities to integrate their clinical and university learning experiences through case based learning.

Unit details and rules

Academic unit	Public Health
Credit points	6
Prerequisites ?	48 credit points of units of study
Corequisites ?	None
Prohibitions ?	HSBH3008 or HSBH2009 or HSBH1010
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Krestina Amon, krestina.amon@sydney.edu.au

Assessment

The census date for this unit availability is 7 November 2025

Details
Criteria

Type	Description	Weight	Due	Length	Use of AI
Written work	Telehealth reflection task Written reflection	20%	Week 03 Due date: 03 Nov 2025 at 23:59	1000 words	AI allowed
Outcomes assessed:
Case studies	Case study assignment Written report and multimedia presentation	45%	Week 05 Due date: 01 Dec 2025 at 23:59	2000 words, 2-minute multimedia	AI allowed
Outcomes assessed:
Written work	eHealth evaluation Written report	35%	Week 07 Due date: 17 Nov 2025 at 23:59	1500 words	AI allowed
Outcomes assessed:
= group assignment ?

Assessment summary

Telehealth reflection task (20%): This task requires students to engage with research on an aspect of telehealth and reflect experiences of an in-class remote-delivered health scenario to answer the following question: Based on your experiences and research, is telehealth a viable alternative to face-to-face practice?

eHealth Report (35%): Students are required to report on how healthcare professionals use social media, using scholarly literature and real-world examples the report should answer the following question: Should social media have a role in contemporary healthcare practice?

Case Study (45%): In groups, students are required to design an eHealth solution that addresses a health problem they have observed either as a consumer or in practice. Teams will submit a written report and a 2-minute multimedia presentation of the eHealth solution.

Detailed information for each assessment will be available on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name	Mark range	Description
High distinction	85 - 100	When your performance in assessment tasks demonstrate the learning outcomes for the unit at an exceptional standard
Distinction	75 - 84	When your performance in assessment tasks demonstrate the learning outcomes for the unit at a very high standard
Credit	65 - 74	When your performance in assessment tasks demonstrate the learning outcomes for the unit at a good standard
Pass	50 - 64	When your performance in assessment tasks demonstrate the learning outcomes for the unit at an acceptable standard
Fail	0 - 49	When you fail to demonstrate the learning outcomes for the unit at an acceptable level

For more information see sydney.edu.au/students/guide-to-grades.

For more information see guide to grades.

Use of generative artificial intelligence (AI)

You can use generative AI tools for open assessments. Restrictions on AI use apply to secure, supervised assessments used to confirm if students have met specific learning outcomes.

Refer to the assessment table above to see if AI is allowed, for assessments in this unit and check Canvas for full instructions on assessment tasks and AI use.

If you use AI, you must always acknowledge it. Misusing AI may lead to a breach of the Academic Integrity Policy.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

Deduction of 5% of the maximum mark for each calendar day after the due date.
After ten calendar days late, a mark of zero will be awarded.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

Unless an application for special consideration or special arrangement has been approved, students must submit all assessments for BIDH3008 by the due date specified in the unit of study outline. If the assessment is submitted within an approved period of extension by way of an approved special consideration application, academic plan adjustment or simple extension, no academic penalty will be applied to that piece of assessment. If an assessment is submitted after the due date (or extended due date as described above), the late submission will result in an academic penalty as follows: * Written work submitted electronically after 11.59 pm on the due date will be considered to have been submitted late. * For every calendar day up to and including ten calendar days after the due date, a penalty of 5% of the maximum awardable marks will be applied to late work. * For work submitted more than ten calendar days after the due date, a mark of zero will be awarded. All assessments must be submitted in order to be eligible to pass the unit otherwise an AF (Absent Fail) grade will be awarded.

Academic integrity

The University expects students to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

Our website provides information on academic integrity and the resources available to all students. This includes advice on how to avoid common breaches of academic integrity. Ensure that you have completed the Academic Honesty Education Module (AHEM) which is mandatory for all commencing coursework students

Penalties for serious breaches can significantly impact your studies and your career after graduation. It is important that you speak with your unit coordinator if you need help with completing assessments.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Support for students

The Support for Students Policy reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

Weekly schedule

WK	Topic	Learning activity
Week 01	Virtual care	Workshop (5 hr)
Week 02	Consumer technologies	Workshop (5 hr)
Week 03	Health provider technologies	Workshop (5 hr)
Week 04	AI in healthcare	Workshop (5 hr)
Week 05	Implementation and evaluation of eHealth	Workshop (5 hr)

Attendance and class requirements

Attendance: Students are required to attend weekly in-person workshops for 5 weeks. The workshop details will be discussed in the first class. As stated in the faculty resolutions, students must attend at least 90% of all timetabled classes. Failure to meet this minimum requirement may result in an Absent Fail (AF) grade for the unit.

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

Outcomes
Graduate qualities

At the completion of this unit, you should be able to:

LO1. critically apply your understanding of eHealth research, literature and learning activities to real-life health scenarios
LO2. engage in informed discussions about the ethical, legal, socio-cultural and political factors of eHealth in Australia and internationally
LO3. reflect on your learning experiences to develop insights into your learning processes and eHealth knowledge and skills
LO4. use technology to communicate professionally in a range of health contexts, to a diverse audience group.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1	Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.
GQ2	Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.
GQ3	Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.
GQ4	Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.
GQ5	Inventiveness Generating novel ideas and solutions.
GQ6	Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.
GQ7	Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.
GQ8	Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.
GQ9	Influence Engaging others in a process, idea or vision.

Outcome map

Learning outcomes	Graduate qualities
Learning outcomes

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

Assessment changes were made following student feedback.

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Use of generative artificial intelligence (AI)

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

BIDH3008: Digital Health in Practice

Intensive October - November, 2025 [Block mode] - Camperdown/Darlington, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Use of generative artificial intelligence (AI)

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links