PRINCIPLES OF HEALTH INFORMATICS C

HIM5IHC

2019

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.

School: School of Psychology & Public Health

Credit points: 15

Subject Co-ordinator: Dennis Wollersheim

Available to Study Abroad Students: Yes

Subject year level: Year Level 5 - Masters

Exchange Students: Yes

Subject particulars

Subject rules

Prerequisites: HIM4IHA and HIM5IHB

Co-requisites: N/A

Incompatible subjects: N/A

Equivalent subjects: N/A

Special conditions: N/A

Learning resources

Readings

Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsGuide to Health InformaticsPrescribedCoiera, E. 20143RD EDITION. ARNOLD, LONDON

Graduate capabilities & intended learning outcomes

01. Explain evolution of current policy related to electronic health records and supporting technologies

Activities:
Exam

02. Identify, evaluate and apply EHR standards, architectures and structures in health service implementations.

Activities:
Tutorials, Exam. These will cover terminologies (SNOMED), structures (OpenEHR archetypes), communications (HL7), and security (public key infrastructure

03. Analyse and evaluate clinical and administrative health data using structure query language (SQL) and data analysis software

Activities:
SQL assignment, Tutorials, exam

04. Analyse and synthesise large health datasets using contemporary evidence-based frameworks and produce reports

Activities:
Tutorial, assignment

05. Design and implement intermediate and advanced protocol-based and clinical decision support systems.

Activities:
Tutorials, exam

Melbourne, 2019, Semester 1, Day

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Enrolment information:

Subject Instance Co-ordinator: Dennis Wollersheim

Class requirements

LectureWeek: 10 - 22
One 1.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

Computer LaboratoryWeek: 10 - 22
One 2.0 hours computer laboratory per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

Assessments

Assessment elementComments%ILO*
One 1.5-hour written examination (1,500-words equivalent)3001, 02, 03, 04, 05
SQL Database assessment (1,750-words equivalent)3503
Data Analytics assessment (1,750-words equivalent)3501, 02, 04, 05