Skip to main content

During 2021 we will continue to support students who need to study remotely due to the ongoing impacts of COVID-19 and travel restrictions. Make sure you check the location code when selecting a unit outline or choosing your units of study in Sydney Student. Find out more about what these codes mean. Both remote and on-campus locations have the same learning activities and assessments, however teaching staff may vary. More information about face-to-face teaching and assessment arrangements for each unit will be provided on Canvas.

Unit of study_

INFO5306: Enterprise Healthcare Information Systems

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.

Details

Academic unit Computer Science
Unit code INFO5306
Unit name Enterprise Healthcare Information Systems
Session, year
? 
Semester 2, 2021
Attendance mode Normal evening
Location Remote
Credit points 6

Enrolment rules

Prohibitions
? 
None
Prerequisites
? 
None
Corequisites
? 
None
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

No

Teaching staff and contact details

Coordinator Dagan Feng, dagan.feng@sydney.edu.au
Lecturer(s) Jinman Kim , jinman.kim@sydney.edu.au
Dagan Feng, dagan.feng@sydney.edu.au
Lei Bi, lei.bi@sydney.edu.au
Tutor(s) Shijia Zhou , shijia.zhou@sydney.edu.au
Type Description Weight Due Length
Final exam (Open book) Type C final exam hurdle task Final exam
Type C: Short Q/As Follow School’s default minimum pass requirement
35% Formal exam period 2 hours
Outcomes assessed: LO1 LO7 LO6 LO5 LO4 LO3 LO2
Assignment Assignment 1: research report and presentation
30% Multiple weeks n/a
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7
Tutorial quiz Quiz
15% Week 07 n/a
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7
Assignment Assignment 2: Practical Assignment
20% Week 12 n/a
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7
hurdle task = hurdle task ?
Type C final exam = Type C final exam ?

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

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 sydney.edu.au/students/guide-to-grades.

 

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.

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

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 honesty, academic dishonesty, 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 dishonesty or plagiarism seriously.

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

WK Topic Learning activity Learning outcomes
Week 01 Introduction to enterprise health information systems and healthcare fundamentals (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Introduction to Python for Data Analysis (1 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 02 Healthcare Information System Fundamentals; Data Standards; Electronic Health Records / Personal Health Records (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Electronic Health Records (EHR) Data Analysis: Regression and Clustering (1 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 03 Picture archiving and communication system (PACS) and cloud PACS; and PACS Experience (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Medical Image Classification; Assignment 1A (Research Report) Introduction; Assignment 1B (PowerPoint and Peer-Review) Introduction (1 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 04 Personalised Healthcare - Wellbeing (including Wearable Tech and Smart Medical Homes) (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Introduction to Neural Network (1 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 05 Telehealth Technologies and Mobile Health (mHealth) (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Convolution Neural Network (1 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 06 Ethics, regulations, governance and data security (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Interpretable AI (1 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 07 Bioinformatics, Cloud, Healthcare, and Security (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Bioinformatics (1 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 08 Healthcare Data Analysis Healthcare Data Statistics (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Quiz (2 Hours) (1 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 09 Clinical Decision Support Systems Machine Learning in Healthcare (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Social Health Analytics; Assignment 1A Submission (1 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 10 Healthcare Technology Evaluation (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Evidence based medicine (1 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 11 Healthcare Information and Data Visualisation (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Assignment 1B Submission Assignment 1B Presentations, Peer Review & Discussion I (1 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 12 Healthcare Data Linkage and Integration (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Assignment 1B Presentations, Peer Review & Discussion II (1 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 13 UoS Review (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Assignment 1B Presentations, Peer Review & Discussion III Assignment 2 Submission (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
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9
More labs have been added to ensure the highest quality for on-line teaching

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.