Credit points: 15

Subject outline

In this subject, you will use the principles taught in Principles of Health Informatics A and B to explore technical requirements, skills and processes surrounding the implementation and management of electronic health records (EHRs). Using an enquiry-based learning approach, students will develop an in-depth understanding of design, structural and operational issues related to EHRs such as: EHR structures and architectures, interoperability, privacy and security, person and provider identification, clinical terminologies, clinical decision-support systems, and large data set query and analysis using SQL and business intelligence tools.

SchoolPsychology and Public Health

Credit points15

Subject Co-ordinatorDennis Wollersheim

Available to Study Abroad/Exchange StudentsYes

Subject year levelYear Level 5 - Masters

Available as ElectiveNo

Learning ActivitiesN/A

Capstone subjectNo

Subject particulars

Subject rules

PrerequisitesHIM5IHB AND HIM4IHA


Incompatible subjectsN/A

Equivalent subjectsN/A

Quota Management StrategyN/A

Quota-conditions or rulesN/A

Special conditionsN/A

Minimum credit point requirementN/A

Assumed knowledgeN/A

Learning resources

Guide to Health Informatics

Resource TypeBook

Resource RequirementPrescribed

AuthorCoiera, E.


Edition/Volume3RD EDITION



Chapter/article titleN/A



Other descriptionN/A

Source locationN/A

Career Ready


Work-based learningNo

Self sourced or Uni sourcedN/A

Entire subject or partial subjectN/A

Total hours/days requiredN/A

Location of WBL activity (region)N/A

WBL addtional requirementsN/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

Intended Learning Outcomes

01. Explain evolution of current policy related to electronic health records and supporting technologies
02. Identify, evaluate and apply EHR standards, architectures and structures in health service implementations.
03. Analyse and evaluate clinical and administrative health data using structure query language (SQL and data analysis software
04. Analyse and synthesise large health datasets using contemporary evidence-based frameworks and produce reports
05. Design and implement intermediate and advanced protocol-based and clinical decision support systems.

Subject options

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Start date between: and    Key dates

Melbourne (Bundoora), 2021, Semester 1, Day


Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorDennis Wollersheim

Class requirements

Computer LaboratoryWeek: 10 - 22
One 2.00 hours computer laboratory per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

LectureWeek: 10 - 22
One 1.00 hour lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.


Assessment elementCommentsCategoryContributionHurdle% ILO*
One 1.5-hour written examination (1,500-words equivalent)N/AN/AN/ANo30 SILO1, SILO2, SILO3, SILO4, SILO5
SQL Database assessment (1,750-words equivalent)N/AN/AN/ANo35 SILO3
Data Analytics assessment (1,750-words equivalent)N/AN/AN/ANo35 SILO1, SILO2, SILO4, SILO5