This course strives to bring caring people together to re-write the book on how to manage laboratory quality. It is the public preview of what members are working on in the Mini Risk Evaluation Course.
This project will:
- research best practice to manage patient risk in medical laboratories;
- measure existing patient risk against regulated, evidence-based or clinical allowable error limits for calcium, glucose and sodium
- compare key features of existing and proposed statistical quality control processes;
- evaluate the ability of existing statistical quality control (SQC) processes and "Mathematically-OptimiZed™" SQC processes to
- meet best practice recommendations
- detect simulated method failure
- quantify potential reduction in:
- financial risk exposure from medical laboratory errors
- in-lab costs to perform quality control
This 'course' contains references, resources, discussion forums and spin-offs to project groups. Fast-track to what you really need to know to meet requirements for IQCP (Risk Management) requirements and implement verified QC Processes.
Members can self enroll. No password required.
- Teacher: Zoe Brooks
This one hour panel webinar highlights the Checklist of Best Practice for Risk Management with Statistical QC. Log in and click 'self enrol' to watch and comment.
Watch a brief video and enrol here first: http://rmw.awesomenumbers.org/spring2018
Who is this project intended for?
a. Laboratory professionals from large, small, specialized and general laboratories who attended the AACC BrownBag session “Evaluate acceptability of patient risk at monthly/regular QC review.”
b. Researchers, consultants, colleagues, and “QC keeners” invited by Zoe Brooks, M.O.R.E. Quality™ Consultants.
c. People who contact us through social media posts and would like to either participate or review the data for publication. <span style="color: #0000ff; text-decoration: underline;">email@example.com</span>
What can you do?
- quantify patient risk from medical laboratory ‘errors’ by submitting in your analytical & quality control processes
- validate your QC process against the ‘Prime Directive’ of Risk Management: “At the least, the ability of the QC procedures to detect medically allowable error should be evaluated."
- examine risk metrics of up to 300 analytical processes
- mainly for glucose, calcium and sodium
- evaluate the value of a NEW approach to quality management in terms of:
- the number of patients you can potentially save from risk and
- the associated clinical/legal savings
- based on your risk drivers
- participate in discussions and surveys on reports
- co-author, post and discuss results
Participate in the first Mini Risk Evaluation Program to examine:
- existing patient risk: as driven by analytical process quality relative to medical goals
- potential risk if the analytical process failed: as driven by statistical quality control process effectiveness relative to acceptable risk criteria
- potential benefits of Mathematically-OptimiZed Risk Evaluation™ as reduction of the acceptable/verified number and cost of errors
- Teacher: Zoe Brooks