Outline

Overview

Many issues have been identified that are of potential relevance for planning, implementation and execution of an evaluation study in the health and technology innovations. This unit aims to address issues covering all phases of an evaluation study: Preliminary outline, study design, operationalization of methods, planning, execution and completion of the evaluation study. Students completing this unit will have better insights leading to a higher quality of evaluation studies for health technology solutions. This unit is an important component towards building stronger evidence and thus to progress towards evidence-based health solutions and technology innovations. Graduates of this unit of study will have a strong interdisciplinary knowledge base, covering diverse areas such as health, economics, health technologies, health informatics, social science and information systems. Topics areas covered: 1. Economic Aspects of Health Technology Evaluation; 2. The Development of Health Technologies and Health Informatics Evaluation; 3. The Role of Evaluation in the Use and Diffusion of Health Technology.

Unit details and rules

Academic unit	Computer Science
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Simon Poon, simon.poon@sydney.edu.au
Guest lecturer(s)	Henry Ko, henry.ko@sydney.edu.au
	Neysa Petrina, neysa.petrina@sydney.edu.au
	Sally Wortley, sally.wortley@sydney.edu.au

Type	Description	Weight	Due	Length
Assignment	Case Study (HTA) case study report and recorded presentation	20%	Week 08	1 week
Outcomes assessed:
Assignment	Rapid Health Technology Assessment Review HTA appraisal and research report	30%	Week 09	2 weeks
Outcomes assessed:
Assignment	Case Study (HIE) case study and recorded presentation	20%	Week 12	1 week
Outcomes assessed:
Assignment	Health Informatics Evaluation HIE appraisal and research report	30%	Week 13	2 weeks
Outcomes assessed:

Assessment summary

There are 4 individual assessments in this unit (Total 100%):

For Part 1 (Health Technology Assessment):
Case Study (HTA), 20%, due week 6
Rapid HTA Review, 30%, due week 6

Fort Part 2 (Health Informatics Evaluation):
Case Study (HIE), 20%, due week 8
Health Informatics Evaluation Appraisal, 30%, due week 8

Final grades in this unit are awarded at levels of HD for High Distinction, DI (previously D) for Distinction, CR for Credit, PS (previously P) for Pass and FA (previously F) for Fail as defined by University of Sydney Assessment Policy. Details of the Assessment Policy are available on the Policies website at http://sydney.edu.au/policies . Standards for grades in individual assessment tasks and the summative method for obtaining a final mark in the unit will be set out in a marking guide supplied by the unit coordinator.

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.

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:

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: Late Penalty for any submission is 20% per day. Unless special consideration is granted. Special consideration If you experience short-term circumstances beyond your control, such as illness, injury or misadventure or if you have essential commitments which impact your preparation or performance in an assessment, you may be eligible for special consideration or special arrangements.

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.

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.

Weekly schedule

WK	Topic	Learning activity
Week 03	1. Introduction to HTA; 2. Key components and challenges in HTA; 3. How to conduct systematic review; 4. Critical appraisal of HTA; 5. Case discussions in MSAC/PLAC/TGA	Workshop (6 hr)
Week 04	1. Issues performing scoping, rapid, systematic review; 2. Introduction to Health Informatics Evaluation; 3. Discussion on reviewing remote monitoring medical device. 4. Introduction to empirical methods; 5. Basic concepts of technology acceptance and impact evaluation; 6. Plan for user experience studies;	Workshop (6 hr)
Week 05	1. Qualitative methods for evaluation; 2. Metrics and measurement model development; 3. Understanding the factors that affect the use and usability of technology; 4. Understanding the organisational and social behaviours that affect the diffusion of health technology	Workshop (6 hr)
Week 06	1. Methodological considerations for complex evaluation studies; 2. Introduction to health economics; 3. Introduction to budget impact analysis;	Workshop (6 hr)

Attendance and class requirements

Study commitment: Students are expected to attend two 6 hour workshops in weeks 7 and 11. Workshops will be composed of lectures, small group activities, and class discussions. Lectures set the scene and show how each topic fits into the overall unit of study aims. Small group activities will allow discussion and application of topics. You are strongly advised to actively participate in workshops, and to complete activities that are provided to increase or test your understanding of concepts.

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.

Required readings

Prescribed readings will be provided via Canvas

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. understand economic evaluation methods used to measure the benefits of health technology
LO2. understand the factors in technology evaluation that affect health technology development and use
LO3. understand the social and organisational impacts associated with the use and diffusion of health technology
LO4. use evaluation techniques to build an evidence-based understanding of the quality and efficacy of technology innovations implemented in health care settings
LO5. discuss the social and economic impacts of a health technology
LO6. understand the development of health technologies, and the integration of quality and professional standards
LO7. understand approaches to evaluate health informatics interventions used to measure the impact it has on the delivery of health services.

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.

Based on the feedback from last year's USE, changes have been made: 1. Instead of have two full consecutive dates for each of the 2 parts, we will deliver the unit over four 1/2 days over 1 week. 2. Additional material for hands on work will be provided. Feedback will be given based on hands on practices.

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

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect

Current students

HTIN5003: Health Technology Evaluation

Semester 2b, 2021 [Block mode] - Camperdown/Darlington, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect