Course Title: Monitor the quality of test results and data

Part B: Course Detail

Teaching Period: Term2 2020

Course Code: BUSM8861C

Course Title: Monitor the quality of test results and data

School: 174T School of VE Engineering, Health & Science

Campus: City Campus

Program: C5388 - Diploma of Laboratory Technology

Course Contact: Amber Mitton

Course Contact Phone: +61 3 9925 8053

Course Contact Email: amber.mitton@rmit.edu.au


Name and Contact Details of All Other Relevant Staff

kirsten.balding@rmit.edu.au

Nominal Hours: 40

Regardless of the mode of delivery, represent a guide to the relative teaching time and student effort required to successfully achieve a particular competency/module. This may include not only scheduled classes or workplace visits but also the amount of effort required to undertake, evaluate and complete all assessment requirements, including any non-classroom activities.

Pre-requisites and Co-requisites

MSL924003  Process and interpret data

Course Description

This unit of competency describes the skills and knowledge to analyse a series of test results and data to detect potential or actual non-conformances, assess their significance and recommend preventative or corrective actions. The unit assumes personnel will have access to workplace quality assurance procedures based on Australian and/or international standards. This unit of competency does not cover the adaptation or development of test methods or procedures.


National Codes, Titles, Elements and Performance Criteria

National Element Code & Title:

MSL935007 Monitor the quality of test results and data

Element:

1. Verify accuracy of data and technical records

Performance Criteria:

1.1 Retrieve and collate all relevant data files and technical records for the specified time interval, tests or product range or project 1.2 Inspect data records to check the integrity of data entry, alterations, transfers and calculations 1.3 Confirm that technical records contain sufficient information to provide an audit trail for the tests involved

Element:

2. Assess the quality of data/results

Performance Criteria:

2.1 Use charts and tables to determine whether data/results are within specified limits 2.2 Analyse data trends and results for blanks, duplicates and/or check samples to detect systematic uncertainties 2.3 Use statistical tests and workplace procedures to check data acceptability 2.4 Check that estimations of uncertainties are reasonable and consistent with test method, client or product specification requirements 2.5 Identify results that cannot be reconciled with technical records and/or expected outcomes

Element:

3. Identify potential causes for unacceptable results

Performance Criteria:

3.1 Review user checks and calibration performance records to confirm that equipment or instrument meets test specifications 3.2 Check for obvious sources of interferences that may have occurred during measurements 3.3 Review technical records to identify human or environmental factors that could affect reliability of results 3.4 Review records of sample collection and preparation to confirm chain of custody requirements and adherence to sampling procedures 3.5 Check that any documented deviations from sampling procedures and/or test methods were technically justified and authorised 3.6 Check the condition of sampling equipment and/or stored samples if available/appropriate

Element:

4. Report findings to relevant personnel

Performance Criteria:

4.1 Summarise the quality of test results and data 4.2 Document potential sources or instances of non-conforming work and assess their significance 4.3 Recommend appropriate preventative/corrective actions to improve sampling, testing and/or calibration activities 4.4 Prepare reports in a format and style consistent with their intended use and workplace guidelines


Learning Outcomes



Details of Learning Activities

Online activities

assignments

online theory

quizzes & knowledge tests


Teaching Schedule

Classes will be held in weeks 1-8 in Collaborate Ultra due to Covid19 restrictions.

Week

Topic

Assessment

Week 1

6 July 2020

Introduction to Monitor Quality

Quality Management - Review: Quality models, Quality control systems, Sample/Specimen collection processes & policy, Types of specimens in a pathology lab & working safely with them

(Assessment 1  Knowledge Questions relates to these topics)

Week 2

13 July 2020

Audit Compliance: NATA, Why audit? What's in an audit? What's a technical record? NATA's requirement for control of records (general accreditation); Method validation & verification; Scope of method & validation criteria; ISO15189 - what's in a test report?

Assessment 1  Knowledge 

Week 3

20 July 2020

Test results data - Track it! Analyse it! Interpret it!
Tracking Results - Recording results in tables, using charts to  track controls (Levy-Jennings), Statistical Analysis and estimation of uncertainties, Defining data acceptability. Sources of interference, human and environmental sources of data variation.

Assessment 1  

Assessment 1  Knowledge 

Week 4

27 July 2020

Test results data - Fix it!
Rectification of errors, Reporting audit findings: Continual improvement & Action plans, Preventative, remedial and corrective actions

Assessment 1

Assessment 1: Knowledge

Week 5

3 August 2020

In class: Do it! Audit 1...

AT2: Set 1 Test results Audit  - Audit a set of test results

Assessment 2: Audit Test Results
(Audit of Set 1 due by end of class)

Week 6

10 August 2020

AT2 (continued):

In class: Do it! Audit 2...
Set 2 Test results Audit  - 
Audit a 2nd set of test results

Assessment 2: Audit Test Results

(Audit of set 2 due by end of class) 

Week 7

17 August 2020

Assessment 2: Last chance to complete the 2 audits

Assessment 2 

Week 8

24 August 2020

Alternative assessments (s/c only) 

Assessment 2
Alternative assessments (s/c only) 

 


Learning Resources

Prescribed Texts


References


Other Resources


Overview of Assessment

Assessment may include

reports

data records

observation of skills

knowledge tests


Assessment Tasks

AT1 - Knowledge Evidence Questions

AT2 - Audit Test Results


Assessment Matrix

Other Information

This course is graded in accordance with competency-based assessment

CA Competency Achieved  
NYC Not Yet Competent
DNS Did Not Submit for assessment

To pass the course you need achieve a satisfactory result for all assessments. Students may be given additional opportunities to demonstrate competence. 

Late work that is submitted without an application for an extension (see below) will not be corrected.

APPLICATION FOR EXTENSION OF TIME FOR SUBMISSION OF ASSESSABLE WORK - A student may apply for an extension of up to 7 days from the original due date. They must lodge the application form (http://www1.rmit.edu.au/students/assessment/extension) at least 24 hours before the due date. The application should be emailed to the program Coordinator (amber.mitton @rmit.edu.au). Students requiring longer extensions must apply for SPECIAL CONSIDERATION.

• For missed assessments such as tests- you (& your doctor if you are sick) must fill out a special consideration form. This form must be lodged online with supporting evidence prior to, or within, 5 days of the scheduled time of the assessment http://www1.rmit.edu.au/students/specialconsideration

Plagiarism is the presentation of the work, idea or creation of another person as though it is your own. It is a form of cheating and is a very serious academic offence that may lead to expulsion from the University. Plagiarised material can be drawn from, and presented in, written, graphic and visual form, including electronic data and oral presentation. Plagiarism occurs when the origin of the material used is not appropriately cited. It also occurs through enabling plagiarism, which is the act of assisting or allowing another person to plagiarise or to copy your own work. Please make sure you consider this carefully in completing all your work and assessments in this course and if you are unsure about whether you might have plagiarised, seek help from your teacher.

Course Overview: Access Course Overview