Outline

Overview

Digital technologies are changing the health landscape from consumers having access to Dr Google to clinicians using virtual reality as part of treatment. This unit of study explores the impact of digital technologies on our health and wellbeing and includes consideration of how these devices and software interact with the healthcare system, affect attitudes towards health and healthcare providers, and change the discussions about health ethics, and health equity. Students will engage in practical, hands-on learning experience and complete authentic assessments such as designing innovations, creating an ePortfolio, and applying for a job.

Unit details and rules

Academic unit	Health Sciences
Credit points	6
Prerequisites ?	48 credit points
Corequisites ?	None
Prohibitions ?	HSBH1010 or HSBH3008 or BIDH3008
Assumed knowledge ?	HSBH1012, HSBH1013
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Gianina Raymundo, gianina.raymundo@sydney.edu.au

Assessment

The census date for this unit availability is 1 September 2025

Details
Criteria

Type	Description	Weight	Due	Length	Use of AI
Out-of-class quiz	Health Technology Quiz (Early Feedback Task) 12-question open-book multiple choice quiz. Questions will be based on content from Weeks 1 & 2.	0%	Week 03 Due date: 24 Aug 2025 at 23:59 Closing date: 24 Aug 2025	1 hour	AI allowed
Outcomes assessed:
Written work	Telehealth Reflection Task Telehealth Reflection Task	20%	Week 05 Due date: 07 Sep 2025 at 23:59 Closing date: 07 Sep 2025	1000 words	AI allowed
Outcomes assessed:
Presentation	Design Project Design Project	40%	Week 09 Due date: 12 Oct 2025 at 23:59 Closing date: 12 Oct 2025	2500 words & 2 minute presentation	AI allowed
Outcomes assessed:
Written work	Job application Job application	40%	Week 13 Due date: 09 Nov 2025 at 23:59 Closing date: 09 Nov 2025	1500 words	AI allowed
Outcomes assessed:
= group assignment ? = early feedback task ?

Early feedback task

This unit includes an early feedback task, designed to give you feedback prior to the census date for this unit. Details are provided in the Canvas site and your result will be recorded in your Marks page. It is important that you actively engage with this task so that the University can support you to be successful in this unit.

Assessment summary

Early Feedback Task - Health Technology Quiz (0%): Students are required to complete a 12-question, open-book online quiz on Canvas. This quiz will be based on content covered in Weeks 1 and 2.

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?

Design Project (40%): In small groups, students are required to make recommendations about the effectiveness of two potential solutions (one using technology and one without technology) to a specific health problem of their choosing. Students will work together to gather evidence and feedback on the solutions and make a recommendation based on their review and assessment.

Job Application (40%): Students are required to respond to a job advertisement (options provided on Canvas) by writing a cover letter and addressing the selection criteria based on activities they participated in throughout Semester. Students may submit an appendix of a maximum of five pages, or a one minute multimedia portfolio to supplement the response to the selection criteria.

Detailed information for each assessment can be found 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
Distinction	75 - 84
Credit	65 - 74
Pass	50 - 64
Fail	0 - 49	When you don’t meet the learning outcomes of the unit to a satisfactory standard.

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 assessment for a unit of study on the due date specified in the unit of study outline. If the assessment is completed or submitted within an approved period of extension by way of an approved special consideration application, academic plan adjustment or informal simple extension (approved in writing), 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 of assessment 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.

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	Technology and society	Online class (2 hr)
Week 02	Remote healthcare	Online class (2 hr)
Week 02	Overview of Telehealth	Tutorial (1 hr)
Week 03	Online health information	Online class (2 hr)
Week 03	Remote healthcare: Conducting a telehealth session	Tutorial (1 hr)
Week 04	Online communication	Online class (2 hr)
Week 04	Online Health Information: Creating health infographics	Tutorial (1 hr)
Week 05	Innovation, design and creating multimedia	Online class (2 hr)
Week 05	CreateSpace visit: Innovations, design and creating multimedia.	Tutorial (1 hr)
Week 06	How is technology used to improve health: Electronic health data as a case study	Online class (2 hr)
Week 06	How is technology used to improve health: FMH Media Lab introduction and simulations	Tutorial (1 hr)
Week 07	How is technology used to improve health: Social media as a case study	Online class (2 hr)
Week 07	How is technology used to improve health: Social media as a case study	Tutorial (1 hr)
Week 08	How is technology used to improve health: Games for health	Online class (2 hr)
Week 08	How is technology used to improve health: Creating AI characters	Tutorial (1 hr)
Week 09	How is technology used to improve health: Virtual reality as a case study	Online class (2 hr)
Week 09	How is technology used to improve health: Game development	Tutorial (1 hr)
Week 10	Careers Centre Workshop: Job applications - Writing Cover Letters and Addressing Selection Criteria	Workshop (2 hr)
Week 11	How is technology used to improve health: mHealth as a case study	Online class (2 hr)
Week 11	How is technology used to improve health: mHealth as a case study	Tutorial (1 hr)
Week 12	The dark side of technology: Cybersecurity and cybercrime	Online class (2 hr)
Week 12	Assignment preparation: Writing a Cover Letter	Tutorial (1 hr)
Week 13	Artificial Intelligence and Unit overview	Online class (2 hr)
Week 13	Unit overview	Tutorial (1 hr)

Attendance and class requirements

Attendance and class requirements: This unit will be delivered as a blended unit with online lectures and face-to-face tutorials. All lectures will be available on Canvas. Tutorials will be face-to-face. There is one online workshop delivered over Zoom (Week 10).

As stated in the Faculty Resolutions, students must attend at least 90% of all timetabled classes. To avoid penalties, please notify the unit coordinator immediately if you are unable to attend a scheduled face-to-face tutorial.

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 their 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 their learning experiences to develop insights into their learning processes and eHealth knowledge and skills
LO4. use technology to communicate professionally in a range of health contexts, to a diverse audience group
LO5. exercise team work skills to collaborate with peers to formulate and develop solutions that would address various real world health problems
LO6. create evidence-based health resources using multimedia.

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.

Changes to assessments were made based on student feedback. This includes the removal of the Skills Assessment, and increasing the weighting of the Design Project. The hands-on tutorials were modified to better highlight the relevance of these technologies in health care.

Additional information

Student Administration Manual on the Faculty of Health Sciences

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

Early feedback task

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

Additional information

Additional information

Disclaimer

On this page

Useful links

HSBH2009: Innovations in eHealth

Semester 2, 2025 [Normal day] - Camperdown/Darlington, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Early feedback task

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

Additional information

Additional information

Disclaimer

On this page

Useful links