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Unit of study_

INFO5306: Enterprise Healthcare Information Systems

Semester 2, 2023 [Normal evening] - Camperdown/Darlington, Sydney

Healthcare systems intimately coupled to ICT have been at the forefront of many of the medical advances in modern society in the past decade. As is already the case in many other service-driven sectors, it is widely recognised that a key approach to solve some of the healthcare challenges is to harness and further ICT innovations. This unit is designed to help fill a massive technology talent gap where one of the biggest IT challenges in history is in the technology transformation of healthcare. The unit will consist of weekly lectures, a set of group discussions (tutorials) and practical lab sessions. The contents will offer students the opportunity to develop IT knowledge and skills related to all aspects of Enterprise Healthcare Information Systems. Key Topics covered include: Health Information System e. g. , Picture Archiving and Communication Systems (PACS) and Radiology IS; Electronic Health Records / Personal Health Records; Health data management; Healthcare Transactions; Health Statistics and Research; Decision Support Systems including Image-based systems; Cost Assessments and Ethics / Privacy; TeleHealth / eHealth; Cases studies with Australian Hospitals. Guest lecturers from the healthcare industry will be invited. The core of student's assessments will be based on individual research reports (topics related to the current industry IT needs), software / practical assignment and quizzes.

Unit details and rules

Unit code INFO5306
Academic unit Computer Science
Credit points 6
Assumed knowledge

The unit is expected to be taken after introductory courses in related units such as COMP5206 Information Technologies and Systems (or COMP5138/COMP9120 Database Management Systems)

Available to study abroad and exchange students


Teaching staff

Coordinator Jinman Kim,
Lecturer(s) Jinman Kim,
Tian Xia,
Tutor(s) Shijia Zhou,
Type Description Weight Due Length
Supervised exam
hurdle task
Final exam
Type C: Short Q/As Follow School’s default minimum pass requirement
55% Formal exam period 2 hours
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7
Tutorial quiz Quiz
Mid-term quiz
10% Week 07 n/a
Outcomes assessed: LO1 LO7 LO6 LO5 LO4 LO3 LO2
Assignment Assignment 1: research report and presentation
Written Assignment (week 9) and Presentation (week 11-13)
25% Week 11
Due date: 20 Oct 2023 at 23:59
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7
Assignment Assignment 2: Practical Assignment
Practical Assignment
10% Week 13
Due date: 03 Nov 2023 at 23:59
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7
hurdle task = hurdle task ?

Assessment summary

1        Quiz

There will be a mid-semester quiz based on everything studied between weeks 1 to 6. It is an individual and open book quiz.

2     Research Assignment (Assignment 1)

Students will select a research topic and write a report. They will also present their findings in the class during the last few weeks of the semester. Students are also expected to take part in peer review of their colleagues’ presentations.

3 Practical Assignment (Assignment 2)

There will be a practical assignment based on the lab exercises done throughout the semester. 

4 Final Examination

The final examination will draw from all aspects of the unit of study. It will test the candidates’ ability to discuss issues critically and to apply the knowledge learnt during this course.

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


High distinction

85 - 100



75 - 84



65 - 74



50 - 64



0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see


It is a policy of the School of Computer Science that in order to pass this unit, a student must achieve at least 40% in the written examination. For subjects without a final exam, the 40% minimum requirement applies to the corresponding major assessment component specified by the lecturer. A student must also achieve an overall final mark of 50 or more. Any student not meeting these requirements may be given a maximum final mark of no more than 45 regardless of their average.

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:

In the interests of fairness to all students, the School of Computer Science policy states that late work cannot be accepted. In exceptional cases, late work must be submitted directly to the unit of study coordinator accompanied by an application for Special Consideration as outlined on page 16 of the School of Computer Science Postgraduate Enrolment Guide

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.

You may only use artificial intelligence and writing assistance tools in assessment tasks if you are permitted to by your unit coordinator, and if you do use them, you must also acknowledge this in your work, either in a footnote or an acknowledgement section.

Studiosity is permitted for postgraduate units unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission.

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 Introduction to enterprise health information systems, digital health and healthcare fundamentals Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
The rise of Technology in healthcare IS Tutorial (1 hr) LO1 LO5 LO6
Week 02 Healthcare Information System Fundamentals; Data Standards; Electronic Health Records / Personal Health Records; Case study: Future outlook for healthcare IS Lecture (2 hr) LO1 LO3 LO6
Personal Health Record Technologies Tutorial (1 hr) LO1 LO2 LO3 LO5 LO6
Week 03 Picture archiving and communication system (PACS) and cloud PACS; Case Study: PACS Experience Lecture (2 hr) LO1 LO2 LO3 LO6
Understanding Cloud PACS Tutorial (1 hr) LO1 LO2 LO3 LO5 LO6
Week 04 Personalised Healthcare - Wellbeing (including Wearable Tech and Smart Medical Homes) Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Evolution of Wearable technologies Tutorial (1 hr) LO1 LO3 LO5 LO6
Week 05 Telehealth Technologies and Mobile Health (mHealth) Case study: Nepean Telehealth and Technology Centre Lecture (2 hr) LO1 LO3 LO5 LO6
Telehealth adoption during the pandemic Tutorial (1 hr) LO2 LO3 LO5 LO6 LO7
Week 06 Ethics, regulations, governance and data security Lecture (1 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Developing an Ethics application Tutorial (1 hr) LO1 LO4 LO5 LO6 LO7
Quiz Computer laboratory (1 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 07 Managing Healthcare IS (Strategic planning; Tech management; Acquisition) Lecture (2 hr) LO1 LO3 LO6
Accessing and Acquiring value in Healthcare IS Tutorial (1 hr) LO2 LO5 LO6 LO7
Week 08 Healthcare Data Analysis Healthcare Data Statistics Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Introduction to the Lab series; Lab1 - Enterprise health data analysis I Computer laboratory (1 hr) LO1 LO2 LO3 LO6
Week 09 Clinical Decision Support Systems Machine Learning in Healthcare Case study: AI DSS Lecture (2 hr) LO1 LO3 LO6
Lab 2– Enterprise health data analysis II Computer laboratory (1 hr) LO1 LO2 LO3 LO6
Week 10 Healthcare Technology Evaluation Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Lab 3– Enterprise health data analysis III Computer laboratory (1 hr) LO1 LO2 LO3 LO6
Week 11 Healthcare Information and Data Visualisation; Case study: Advanced image visualisation Lecture (2 hr) LO1 LO3 LO5 LO6
Assignment 1B Presentations Tutorial (1 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 12 Healthcare Data Linkage and Integration; Case study: Data linkage Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Assignment 1B Presentations Tutorial (1 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 13 UoS Review Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Assignment 1B Presentations Tutorial (1 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7

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

All readings for this unit can be accessed through the Library eReserve, available on Canvas.

  • Feng, David Dagan. Biomedical Information Technology. San Diego:
    Elsevier Science & Technology, 2019. Print. (Recommended Textbook)

  • Karen A. Wager, Frances Wickham Lee and John P. Glaser, “Health Care Information Systems – A Practical Approach for Health Care Management”, 4th Edition, Wiley, 2017.  (Recommended reading material)

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. understand the practices and principles of current health information systems (HIS) used in the healthcare sector
  • LO2. design and analyse HIS in the hospital and also in research studies
  • LO3. demonstrate awareness of evolving HIS technologies including Telehealth and Cloud PACS
  • LO4. ability to use library databases (hardcopy and electronic) of books, journals, conference proceedings, research reports, etc., related to health information systems
  • LO5. present ideas and make arguments effectively
  • LO6. obtain knowledge associated with the use of technology in healthcare that impacts the society.
  • LO7. Understand how to use evidence based medicine to evaluate clinical evidences from literature

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

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

More labs have been added to ensure the highest quality for on-line teaching


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.