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Unit outline_

BIDH3008: Digital health in practice

Intensive November, 2023 [Block mode] - Camperdown/Darlington, Sydney

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 Department of Medical Sciences
Credit points 6
Prerequisites
? 
48 credit points of units of study
Corequisites
? 
None
Prohibitions
? 
HSBH3008 or HSBH2009 or HSBH2010
Assumed knowledge
? 

None

Available to study abroad and exchange students

No

Teaching staff

Coordinator Brad Ridout, brad.ridout@sydney.edu.au
Guest lecturer(s) Melissa Baysari, melissa.baysari@sydney.edu.au
Lecturer(s) Krestina Amon, krestina.amon@sydney.edu.au
Brad Ridout, brad.ridout@sydney.edu.au
Type Description Weight Due Length
Assignment Telehealth reflection task
Reflection
20% Week 03
Due date: 30 Oct 2023 at 23:59
1000 words
Outcomes assessed: LO1 LO2 LO4
Assignment group assignment Case study assignment
Report and multi-media presentation
40% Week 05
Due date: 13 Nov 2023 at 23:59
2000 words, 3-minute pitch
Outcomes assessed: LO1 LO2 LO3
Assignment eHealth evaluation
Report
40% Week 07
Due date: 27 Nov 2023 at 23:59
1500 words
Outcomes assessed: LO1 LO2 LO3
group assignment = group assignment ?

Assessment summary

  • Telehealth reflection task: write a reflection based on your in-class role play and your research into telehealth practice
  • Case study assignment: In groups, design an eHealth solution that addresses a health problem you have observed in practice. Write a report and develop a multi-media pitch of your eHealth solution
  • eHealth evaluation assignment: Choose an eHealth tool or system and develop an evaluation plan – how will you know the tool or system is working?

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 guide to grades.

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.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

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.

WK Topic Learning activity Learning outcomes
Week 01 Virtual care, Reflection task assignment Workshop (5 hr) LO1 LO2 LO3 LO4
Week 02 Consumer technologies, Case study assignment Workshop (5 hr) LO1 LO2 LO3 LO4
Week 03 Health provider technologies Workshop (5 hr) LO1 LO2 LO3
Week 04 Health data Workshop (5 hr) LO1 LO2 LO3
Week 05 Implementation and evaluation of eHealth Workshop (5 hr) LO1 LO2 LO3

Attendance and class requirements

Attendance: Students are required to attend weekly workshops (in person or remotely) 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 a fail 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 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.

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
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

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

No changes have been made since this unit was last offered other than to unit code and name: Old code/name: HSBH3008 Interdisciplinary eHeath New code/name: BIDH3008 Digital Health in Practice

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.