Course Title: Advanced Medical Informatics and Laboratory Management

Part A: Course Overview

Course Title: Advanced Medical Informatics and Laboratory Management

Credit Points: 12.00


Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

ONPS2449

Bundoora Campus

Postgraduate

160H Medical Sciences

Internet

Sem 1 2012,
Sem 1 2013,
Sem 1 2014,
Sem 1 2015,
Sem 1 2016

ONPS2449

Bundoora Campus

Postgraduate

173H School of Health and Biomed

Internet

Sem 1 2017

Course Coordinator: Dr Daniel Sze

Course Coordinator Phone: +61 3 9925 6524

Course Coordinator Email: daniel.sze@rmit.edu.au

Course Coordinator Location: 201.9.03

Course Coordinator Availability: By appointment or email


Pre-requisite Courses and Assumed Knowledge and Capabilities

Enforced Pre-requisites:  Nil

Students should have a prior knowledge and experience of either diagnostic and/or medical research laboratories that allow them to contextualize their learning to the practice of laboratory medicine


Course Description

In the context of the latest developments in the use of information technology in the practice of laboratory medicine in both the local Australian and global contexts, this course aims to firstly introduce and secondly provide more advanced aspects to the student a number of the management aspects of laboratory medicine and medical research including aspects of change management, laboratory information systems, intellectual property, creative thinking, economics of the healthcare system and pathology services, automation, point of care testing, quality systems, accreditation of laboratory services and legal issues affecting the practice of medical scientists in laboratory medicine.

The Advanced medical informatics component of the course includes the recent development of the practice of digitising and manipulating information, in particular for the purposes of image analysis and interpretation. This Advanced course also examines the role of the Internet in healthcare management, the use of information systems in the laboratory and how knowledge/expert systems can assist in decision making processes.


Objectives/Learning Outcomes/Capability Development

This course contributes to the following Program Learning Outcomes for MC158 Master of Laboratory Medicine

 

PLO1: Knowledge capability (of discipline of medical informatics and laboratory management including Laboratory Information System, Expert systems, Automation, POCT, Accreditation, Leadership & Management, Business Case, Quality stystems, Telemedicine and E-health

 

PLO 2: Technical capability (in practice of digitising and manipulating information, in particular for the purposes of image analysis and interpretation; and how knowledge/expert systems can assist in decision making processes)

 

PLO 3: Communication skills (in presenting material for Tests, Essays and Final Examination).

 

PLO 6: Research capability (critical analysis, problem solving, in participating in problem-based exercises and case studies about medical informatics and laboratory management at the online group tutorials)


On completion of this course you should be able to:

CLO1: Be knowledgeable in the discipline of medical informatics and laboratory management including LIS, Expert systems, Automation, POCT, Accreditation, Leadership & Management, Business Case, Quality stystems, Telemedicine and E-health)

CLO2: Critically Evaluate the changing nature of the healthcare system and the function of diagnostic services in providing information that assists in the investigation, diagnosis, treatment and monitoring of disease.

CLO3: Apply knowledge in regard to role and function of medical scientists in the national and international contexts in which laboratory medicine is practised.

CLO4: Creatively solve problems related to the changing nature of the laboratory and wider healthcare environment, especially as it impacts on your future career.

 


Overview of Learning Activities

This course is designed to provide students with comprehensive coverage of the various topic areas. The lecture program will provide the core around which the topics will be covered. A student-centred approach to the course is adopted with students working and accessing independent learning materials on the Internet. This course involves weekly on-line lectures, on-line tutorials via Blackboard collaborate mediated by experienced industry on-line tutors.

72 hours in the course.

Students are required to attend the weekly 1.5 hours online Blackboard Collaborate session. 18 hours online-tutorials. Students are also expected to study and prepare their tests, essays and final examination using about 4.5 hours per week.


Overview of Learning Resources

Learning resources in this course include recommended text books, lecture notes (Powerpoint presentations), handouts or references on selected topics. The Learning Hub provides opportunities for students to independently access much of this material and use an asynchronous conference.


Overview of Assessment

☒This course has no hurdle requirements.

 

Assessment tasks

 

Early Assessment Task: Online Test 1

Weighting 10%

This assessment task supports CLOs 1, 2 & 3

Early Assessment Task 2:  Essay 1

Weighting 15%

This assessment task supports CLOs 1, 2, 3 & 4.

 

Assessment Task 3: Online Test 2

Weighting 10%

This assessment task supports CLO 1, 2 & 3

Assessment Task 4: Essay 2 Business Case writing

Weighting 15% 

This assessment supports CLOs 1, 2, 3 & 4.

 

Assessment Task 5: Tutorial Group Discussion participation

Weighting 5% 

This assessment supports CLOs 1, 2, 3 & 4.

Assessment Task 6: Final Examination

Weighting 45% 

This assessment supports CLOs 1, 2, 3 & 4.

 

Rubrics are provided for Essay1 and Essay 2 Business case. Feedback is given for Online Tests 1 &2.