him4hic health informatics c

HEALTH INFORMATICS C

HIM4HIC

2020

Credit points: 15

Subject outline

In this subject you will use the principles of health systems analysis and design learned in previous subjects to explore technical requirements and processes surrounding the introduction of electronic health records (EHRs).Using an enquiry-based learning approach, you 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 4 - UG/Hons/1st Yr PG

Exchange StudentsNo

Available as ElectiveNo

Learning ActivitiesN/A

Capstone subjectYes

Subject particulars

Subject rules

PrerequisitesN/A

Co-requisitesN/A

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

Career Ready

Career-focusedNo

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

DISCIPLINE KNOWLEDGE AND SKILLS

INQUIRY AND ANALYSIS - Creativity and Innovation

INQUIRY AND ANALYSIS - Critical Thinking and Problem Solving

Intended Learning Outcomes

01. Describe the recent evolution of and current policy related to the electronic health record (EHR), along with supporting technologies, both in Australia and other countries

02. Apply EHR standards, architectures and structures in health service implementations, including terminologies (SNOMED), structures (OpenEHR archetypes), communications (HL7), and security (public key infrastructure).

03. Apply structure query language (SQL to select and extract clinical and administrative health data

04. Discover relationships within massive health datasets, and communicate results

05. Design basic protocol-based and clinical decision support systems.

Subject options

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Melbourne (Bundoora), 2020, Semester 1, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment informationN/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.
Can run concurrently with HIM5IHC, lecture before computer laboratory

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.

Assessments

Assessment element	Comments	Category	Contribution	Hurdle	%	ILO*
One two hour written examination (2000-words equivalent)	N/A	N/A	N/A	No	30	SILO1, SILO2, SILO3, SILO4, SILO5
SQL Database assessment (1,400-words equivalent)	N/A	N/A	N/A	No	35	SILO2, SILO3, SILO4
Data Analytics assessment (1,400-words equivalent)	N/A	N/A	N/A	No	35	SILO2, SILO3, SILO4, SILO5

Sydney, 2020, Study period 1, Day