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.

School: Psychology and Public Health (Pre 2022)

Credit points: 15

Subject Co-ordinator: Dennis Wollersheim

Available to Study Abroad/Exchange Students: Yes

Subject year level: Year Level 4 - UG/Hons/1st Yr PG

Exchange Students: No

Available as Elective: No

Learning Activities: N/A

Capstone subject: Yes

Subject particulars

Subject rules

Prerequisites: N/A

Co-requisites: N/A

Incompatible subjects: N/A

Equivalent subjects: N/A

Quota Management Strategy: N/A

Quota-conditions or rules: N/A

Special conditions: N/A

Minimum credit point requirement: N/A

Assumed knowledge: N/A

Career Ready

Career-focused: No

Work-based learning: No

Self sourced or Uni sourced: N/A

Entire subject or partial subject: N/A

Total hours/days required: N/A

Location of WBL activity (region): N/A

WBL addtional requirements: N/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.

Melbourne (Bundoora), 2020, Semester 1, Day

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Enrolment information: N/A

Subject Instance Co-ordinator: Dennis 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