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INFO5306: Enterprise Healthcare Information Systems (2020 - Semester 2)

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Unit: INFO5306: Enterprise Healthcare Information Systems (6 CP)
Mode: Normal-Evening
On Offer: Yes
Level: Postgraduate
Faculty/School: School of Computer Science
Unit Coordinator/s: Prof Feng, David
Session options: Semester 2
Versions for this Unit:
Site(s) for this Unit:
Campus: Camperdown/Darlington
Pre-Requisites: None.
Brief Handbook Description: The intimate coupling of healthcare systems with ICT has been at the forefront of many of the medical advances in modern society over 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 in one of the biggest IT challenges in history: 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 assessments will be based on individual research reports (topics related to the current industry IT needs), practical data analysis assignments, and quizzes.
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).
Lecturer/s: Prof Feng, David
Tutor/s: To be selected.
Timetable: INFO5306 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Lecture 2.00 1 13
2 Tutorial 1.00 1 8
3 Laboratory 1.00 1 3
4 Independent Study 6.00 13

Learning outcomes are the key abilities and knowledge that will be assessed in this unit. They are listed according to the course goal supported by each. See Assessment Tab for details how each outcome is assessed.

Unassigned Outcomes
1. Understand the practices and principles of current Health Information Systems (HIS) used in the Healthcare sector.
2. Ability to design and analyse HIS in the hospital and also in research studies.
3. Aware of evolving HIS technologies including Telehealth and Cloud PACS etc.
4. Ability to use library databases (hardcopy and electronic) of Books, Journals, Conference proceedings, research reports, etc., related to Health Information Systems
5. Ability to present ideas and make arguments effectively
6. Obtain knowledge associated with the use of Technology in Healthcare that impacts the Society.
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Mid-semester Quiz No 10.00 Week 6 1, 2, 3, 5, 6,
2 Assignment 1: Research Report and Poster No 15.00 Multiple Weeks 1, 2, 3, 4, 5, 6,
3 Assignment 2: Data Analysis No 10.00 Week 13 1, 2, 3, 5, 6,
4 Final Exam No 60.00 Exam Period 1, 2, 3, 5, 6,
5 Participation No 5.00 Multiple Weeks 5,
Assessment Description: Mid-semester Quiz: This will be based on everything studied between weeks 1 to 5, including lectures and tutorial exercises. Lab materials will not be included. It is an individual and closed book quiz.

Assignment 1: Research Report and Poster: This assignment is divided into two related parts (A and B). In the Assignment 1A students will select a research topic and write a report (due in the middle of semester). In Assignment 1B, the students will present the findings from their report in a poster presentation session during the last few weeks of semester.

Assignment 2: Data Analysis. This practical assignment will be based on the lab exercises done throughout the semester and will be due at the end of semester.

Final Exam: The written examination will draw from all aspects of the unit of study. It will test the ability to discuss issues critically and to apply the knowledge learnt during the course.

Participation: The participation will be based on student activity during lectures, tutorials, and laboratories, as well as peer review of fellow students' research posters (Assignment 1).

Late penalties: Submitting an assignment late will incur a penalty of 20% of the marks per day.

There may be statistically and educationally defensible methods used when combining the marks from each component to ensure consistency of marking between markers, and alignment of final grades with grade descriptors.

The University has authorised and mandated the use of text-based similarity detecting software Turnitin for all text-based written assignments.
Assessment Feedback: The teaching team will provide feedback on the assignments and the quiz. A consultation hour may be used to provide feedback to individual students.
Grade Type Description
Standards Based Assessment 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 . 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.
Minimum Pass Requirement 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.
Policies & Procedures: IMPORTANT: School policy relating to Academic Dishonesty and Plagiarism.

In assessing a piece of submitted work, the School of Computer Science may reproduce it entirely, may provide a copy to another member of faculty, and/or to an external plagiarism checking service or in-house computer program and may also maintain a copy of the assignment for future checking purposes and/or allow an external service to do so.

Other policies

See the policies page of the faculty website at for information regarding university policies and local provisions and procedures within the Faculty of Engineering and Information Technologies.
Recommended Reference/s: Note: References are provided for guidance purposes only. Students are advised to consult these books in the university library. Purchase is not required.
Online Course Content: Additional readings and useful materials will be regularly added to Canvas. These materials may be used by the student during their own study.

Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar

Week Description
Week 1 Lecture: Introduction to Enterprise Health Information Systems & Healthcare Delivery Fundamentals
Course outline and expectations
Week 2 Lecture: Healthcare Information System Fundamentals; Data Standards; Electronic Health Records; Personal Health Records
Tutorial: Personal Health Record Technologies
Week 3 Lecture: Picture Archiving and Communication System (PACS) & Cloud PACS
Tutorial: Cloud PACS
Introduction to Assignment 1A (Research Report) & Assignment 1B (Poster).
Week 4 Lecture: Telehealth Technologies and Mobile Health (mHealth)
Tutorial: Guest Speaker & Demonstration - Telehealth
Week 5 Review for the Mid-semester Quiz
Tutorial: Privacy and Electronic Health Records
Lecture: Ethics / Regulations / Governance / Data Security
Week 6 Lecture: Personalised Healthcare - Wellbeing (including Wearable Tech and Smart Medical Homes)
Assessment Due: Mid-semester Quiz
Week 7 Lecture: Healthcare Data Analysis
Lab: Demonstration & Exercise: Health Data Analysis
Week 8 Lecture: Healthcare Data Statistics
Lab: Demonstration & Exercise: Health Data Analysis
Assessment Due: Assignment 1A: Research Report
Week 9 Tutorial: Interpreting Health Data Visualisations
Introduction to Assignment 2: Data Analysis
Lecture: Healthcare Information and Data Visualisation
Week 10 Lecture: Clinical Decision Support System (DSS)
Lab: Allocated for assignments, questions and queries
Week 11 Tutorial: Evaluating IT Innovations in Healthcare
Assessment Due: Assignment 1B: Posters must be submitted prior to presentation in the following weeks.
Lecture: Healthcare Technology Evaluation
Week 12 Lecture: Healthcare Data Linkage and Integration
Lecture/Tutorial: Assignment 1B: Poster Presentations and Review
Week 13 Lecture: Course Review and Revision
Lecture/Tutorial: Assignment 1B: Poster Presentations and Review
Assessment Due: Assignment 2: Data Analysis
Exam Period Assessment Due: Final Exam

Course Relations

The following is a list of courses which have added this Unit to their structure.

Course Year(s) Offered
Graduate Certificate in Information Technology 2015, 2016, 2017, 2018, 2019, 2020
Graduate Certificate in Information Technology Management 2015, 2016, 2017, 2018, 2019, 2020
Graduate Diploma in Computing 2015, 2016, 2017, 2018, 2019, 2020
Graduate Diploma in Health Technology Innovation 2015, 2016, 2017, 2018, 2019, 2020
Graduate Diploma in Information Technology 2015, 2016, 2017, 2018, 2019, 2020
Graduate Diploma in Information Technology Management 2015, 2016, 2017, 2018, 2019, 2020
Graduate Certificate in Computing 2020
Graduate Certificate in Information Technology Management (till 2014) 2014
Graduate Certificate in Information Technology (till 2014) 2014
Graduate Diploma in Information Technology Management (till 2014) 2014
Graduate Diploma in Information Technology (till 2014) 2014
Master of Health Technology Innovation 2015, 2016, 2017, 2018, 2019, 2020
Master of Information Technology 2015, 2016, 2017, 2018, 2019, 2020
Master of Information Technology Management 2015, 2016, 2017, 2018, 2019, 2020
Master of IT/Master of IT Management 2015, 2016, 2017, 2018, 2019, 2020
Master of Information Technology Management (till 2014) 2014
Master of Information Technology (till 2014) 2014

Course Goals

This unit contributes to the achievement of the following course goals:

Attribute Practiced Assessed
(8) Professional Effectiveness and Ethical Conduct (Level 3) No 0%
(6) Communication and Inquiry/ Research (Level 4) No 0%
(2) Engineering/ IT Specialisation (Level 4) No 0%

These goals are selected from Engineering & IT Graduate Outcomes Table 2018 which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table 2018 for details of the attributes and levels to be developed in the course as a whole. Percentage figures alongside each course goal provide a rough indication of their relative weighting in assessment for this unit. Note that not all goals are necessarily part of assessment. Some may be more about practice activity. See Learning outcomes for details of what is assessed in relation to each goal and Assessment for details of how the outcome is assessed. See Attributes for details of practice provided for each goal.