e-Competency “Leading the way to M.O.R.E. Quality”

Leading the way to M.O.R.E. Quality

PACE-4-Credits An online certificate course based on the original 3-week webinar series.

Originally presented: Thursdays June 23rd, June 30th & July 7th, 2016. Videos are posted with the course – separated by speaker and content.

This intermediate level program is intended for anyone who cares about laboratory quality, or the processes of quality management and leadership in general: quality consultants, financial administrators, laboratory directors, quality managers, clinical chemists, managers/ supervisors, medical lab scientists.

Hear an international perspective on laboratory error rates, clinical costs and a core issue of QC misunderstanding at the front line. Discover the the new paradigm of M.O.R.E. Quality and see why we believe this can significantly reduce laboratory errors.

Mathematically-OptimiZed Risk Evaluation™ is a software-driven series of algorithms that convert specific factual risk drivers from stable QC samples to risk metrics that assess the quality of laboratory methods relative to locally-approved medical goals and acceptable patient risk levels – and to design, verify, and ultimately automate, the mathematically-optimum QC strategy for each analytical process to continuously maintain acceptable risk.

Risk evaluation – the process of comparing the estimated risk against given risk criteria to determine the acceptability of the risk.

Mathematical optimization – the selection of a best element (with regard to some criteria) from some set of available alternatives.

Learning Objectives
You will learn to:

  1. Evaluate acceptability of patient risk.
  2. Ensure test result quality is appropriate for clinical use.
  3. Validate the ability of the QC procedures to detect medically allowable error.

This program will help you satisfy CMS’ IQCP and CLSI’s Guideline EP23A quality control and risk management requirements.


The e-Competency Program includes, in addition to the webinars:

  • online course enrollment
  • discussion forums with presenters
  • references and videos
  • self-tests and feedback polls
  • competency examination
  • certificate of competency and PACE credits (with a 90%+ grade on a tough exam.)
    • we do not offer certificates or credits without proof of competency (for webinars only.)


Who is this for?

This introductory live program is intended for anyone who cares about laboratory quality, or the processes of quality management and leadership in general: quality consultants, financial administrators, laboratory directors, quality managers, clinical chemists, managers/ supervisors, medical lab scientists.

Quality means meeting the needs of your customers: Meet “CARL, PARL & The PIPS”

Carl-Parl-&-The-PIPSRisk Management presents an opportunity to look at QC differently – and to change the mathematics that drive the QC process. M.O.R.E. Quality algorithms specify acceptable risk as the number of failures or MURs (Medically-Unreliable Results.)

It may break scientific tradition, but this catchy phrase and silly image of “CARL, PARL & The PIPS’ puts risk management in perspective and will help you remember.

CARL is the Current Acceptable Risk Level.
– locally-approved Current Acceptable Risk Level – defined as the acceptable number of medically-unreliable results (MURs) per year for each analyte/analytical process and QC sample. (CARL can be set at 1 MUR/Yr, replacing the statistical QC assumptions such as 5%, or 2 sigma (2.75% error ) or 3 sigma (0.135%) acceptable MUR/Year.)

PARL is the Potential Acceptable Risk Level.
the locally-approved Potential Acceptable Risk Level – defined as the acceptable number of medically-unreliable results (MURs) per day following a failure event before risk is unacceptable and staff must act to protect patients from risk – for each analyte/analytical process and QC sample. (PARL is typically set at 1 MUR/Day, replacing the statistical QC assumption of 5% allowable error allow.)

‘The PIPS are the Patients, Institutions, Physicians and members of Society who are the judges of acceptability of patient risk. Everybody is included in The PIPS. Risk is acceptable when THEY say it is!

The premise of Mathematically-OptimiZed Risk Evaluation is that “If the laboratory director develops medical goals and acceptable risk levels – approved by The PIPS – then software can automate the QC process to meet those standards.”


eBook_1_MOREZoe: Are you thinking: “Are they crazy? So now ‘The PIPS’, without education in laboratory science, quality concepts or statistics, are expected to decide if risk is acceptable. Are you wondering how this possibly passes The DIMS Test?

This is what I think:

Yes, this makes sense. With meaningful risk metrics and logic-driven recommendations, anybody can become certified competent to evaluate the acceptability of risk in the time it takes to complete this course.

Traditional QC concepts have been taught in complex statistical terms and formal language that, quite frankly, fails the DIMS Test for 99% of the population. Laboratories are capable of much more effective quality control than is currently practiced. Improving QC will reduce the number of errors reported and improve healthcare.

We want to communicate clearly with everyone.

Instead of trying to explain statistics, we choose to express the number and cost of patient risk in simple familiar language and images that convey exactly the same information to everybody. We hope people will understand if we speak a familiar language, make it easy to remember and throw in some humour! So relax and speak your mind.

Webinar Program


Module 1: The Problem
Originally presented June 23, 2016

  1. “We concluded that the calculated risk level is generally not accepted in healthcare.”
  2. Live Polls:
    Do these charts show a problem?
    Are these sigma values OK?
    What is risk?
    How much risk is acceptable?
  3. Beyond 6 Sigma
    From Six Sigma to M.O.R.E. Quality
    Introduction to Mathematically-OptimiZed Risk Evaluation(TM)
    Acceptable risk criteria change everything.
    M.O.R.E. metrics, more evaluations and more consistent advice – from existing QC data
  4. Leading the way
    Anna: One person can make a difference: The SMLTA Program
    Kim: Experiences as an author and educator
    Zoe: My perilous path to M.O.R.E. Quality
    You: Send data; Take Surveys; Review the Risk Assessor course, Lead
  5. Creating Leaders at Every Level
  6. Panel Wrap up and Q&A

Module 2: The Solution
Originally presented June 23, 2016

  1. The prevalence and cost of laboratory error.
  2. ISO Inspections – The common theme of misunderstanding
  3. Think differently; Teach differently; Provide front line direction
  4. The impact of Mathematically-OptimiZed Risk Evaluation
  5. How to do M.O.R.E.
    Step 1: Set medical goals & acceptable risk levels
    Step 2: Enter or import factual risk drivers
    Step 3: Go ahead! Evaluate risk. Live Polls:
    Interpret Risk Graphics, Risk Metrics, Evaluations and Action Flags
  6. Panel Wrap up and Q&A

Module 3: Leading the way from here to M.O.R.E.
Thursday July 7 Last minute FREE invitations. This is just too interesting to NOT share.

  1. Survey Results: Analytical Process Quality – Glucose, Sodium, INR/Prothrombin Time
    Current risk – the number & cost of medically-unreliable results (MURs)/year
    Panel comments and audience polls: Acceptability of Risk
  2. Survey Results: QC Process Effectiveness & Staff Competency
    If methods fail, will QC alert staff?
    Will staff think and do the right thing, or even the same thing, if risk is unacceptable?
    Panel comments and audience polls: Acceptability of Risk
  3. Participant comments received
  4. Reviewer comments – Risk Assessor Course
  5. Leading from here to M.O.R.E.
    1. Medical Goals
    2. Acceptable Risk
    3. Risk Drivers
  6. Panel Wrap up and Q&A


Flow - Risk Management Process



Earn your certificate for successfully completing the e-competency program “Managing Acceptable Risk with M.O.R.E. Quality. Level 1 – Risk Assessor.


Speaker Panel - Alphabetically

Zoe Brooks, ART (CSMLS)


Zoe Brooks is a visionary, teacher, author and entrepreneur who has dedicated her career to medical laboratory quality improvement.

Zoe created the process of Mathematically-OptimiZed Risk Evaluation™ and introduced the ‘Risk-Based Quality Grade(c)’ and ‘DIMS test’ to the laboratory community. She is author of the “Performance-Driven Quality Control” text book published by AACC press in 2001 plus numerous publications. Zoe served as an advisor on the CLSI committee to create EP 23-A.

Zoe is also the inventor of the Nurtural Bitless Bridle for horses. Her unique blend of statistical prowess and good old fashioned horse sense create a personal and pleasurable learning experience.

Akpowene Jude Kakpovbia


Akpowene Jude Kakpovbia is a published author / writer and a senior consultant in leadership strategies, team building, team growth, team success and personal development. He has over three decades of proven actions and activities that have added value to organizations and clients to succeed beyond expectations. His leadership and team building strategies have been outstanding. As a problem solver, with valuable experience and knowledge to understand others and their needs with empathy and attention to details, he has helped enhance the growth of several businesses and their goals. He is currently a Senior Consultant and an Expert in Leadership Strategies, Team Building, Team Growth, Team Success and Personal Development.

See more on LinkedIn.


Anna Murphy, MLS (ASCP)CM


Anna Murphy is a medical laboratory scientist with over 30 years’ experience. For the majority of her career, Anna Murphy held management or leadership positions within a clinical hospital setting.

Anna Murphy is one of the co-developers of SLMTA (Strengthening Laboratory Management Toward Accreditation) curriculum. In 2012, she created an activity-based curriculum on statistical quality control for the medical laboratorian. Since that time, Anna Murphy has facilitated SLMTA and QC training courses in numerous countries throughout Africa.

This September in South Africa, she will pilot SLMTA 2, which targets the measurement, analysis, and improvement components of a QMS.

Kim A. Przekop MBA MLS(ASCP)CM

Kim Pyramids small

Kim A. Przekop MBA MLS(ASCP)CM

  • MLS for over 30 years
  • Owner, Crosswayz Consulting LLC
  • Quality Consultant, Awesome Numbers Inc.
  • Six years as an instructor in higher education, including 2+ years at Rutgers, the State University of New Jersey
  • Almost 20 years management experience
  • Published author, including two textbook chapters, a statistics book, and numerous articles.
  • Paid public speaker for ASCP (booked for November 2016 in Minneapolis with Zoe).
  • Two posters accepted at ASCLS national meeting 2016 in Philadelphia
  • ASCLS active member; appointed to Government Affairs Committee
  • Writer, editor, quality champion, student of life
Dr. Sumeet Singhal


Dr. Sumeet Singhal, Ph.D has 20 years of experience in the area of quality management systems, laboratory workflow management, clinical excellence, audits, quality assurance, quality control & R&D. He has worked with various multinational organizations on leadership positions with majority of career dedicated to quality improvement in diagnostic industries and pathology labs

He is a qualified auditor and trainer for ISO 15189, ISO 9001 & ISO 13485, has conducted over 180 third party assessments/audits and numerous training courses at reputed institutes.

Purchase e-Competency program. You have one year access.


Join the discussions and exercises in the e-competency group; earn your certificate and 4 PACE credits from ASCLS, (with 90%+.)

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E-competency participants are enrolled in this online course for discussions and competency examination.