How to implement an effective Human Error Investigation Program

Recorded Session
90 Minutes

Human error is known to be the primary cause of quality and production losses in many industries. Although it is unlikely that human error will ever be eliminated, many human performance problems can be prevented. Human errors start at the design stage. From procedures, training, and workplace environment many variables that affect human behavior CAN be manipulated reducing the likelihood of these occurrences. To work with these challenges, it is essential to understand human behavior and the psychology of error as well as understand exactly where the weaknesses of the system are so that they can be improved and/or fixed. This course offers practical approaches and models to address human performance issues in GMP-related environments by using a particular methodology to correct, prevent, and avoid reoccurrence of these matters.

WHY SHOULD YOU ATTEND?

This training would provide tools that can be implemented and used after this event. These include practical tools. We will discuss human error categories, near root causes, and root causes for these events. We will discuss the latest trends in human error issues in the industry.

AREA COVERED

  • Human Error as the Root Cause
  • What is Human Error
  • How is Human Error controlled?
  • Root Cause Determination
  • The 6-step method for error prevention
  • Human error rates and measurement
  • Trending and tracking
  • Prediction
  • CAPA effectiveness

LEARNING OBJECTIVES

  • Error Reduction System
  • HES Tools
  • Cognitive load tool
  • Definition of Human Factors Categories (HFC)
  • Importance of each HFC
  • Learn the Human Error Risk Multipliers
  • Recommendations for each HFC
  • Implementing the program
  • Metrics and KPIs

WHO WILL BENEFIT?

  • Training managers and coordinators
  • Operations
  • Manufacturing
  • Plant engineering
  • QA/QC staff
  • Process excellence/improvement professionals
  • Industrial/process engineers
  • Compliance officers
  • Regulatory/legislative affairs professionals
  • General/corporate counsel

This training would provide tools that can be implemented and used after this event. These include practical tools. We will discuss human error categories, near root causes, and root causes for these events. We will discuss the latest trends in human error issues in the industry.

  • Human Error as the Root Cause
  • What is Human Error
  • How is Human Error controlled?
  • Root Cause Determination
  • The 6-step method for error prevention
  • Human error rates and measurement
  • Trending and tracking
  • Prediction
  • CAPA effectiveness
  • Error Reduction System
  • HES Tools
  • Cognitive load tool
  • Definition of Human Factors Categories (HFC)
  • Importance of each HFC
  • Learn the Human Error Risk Multipliers
  • Recommendations for each HFC
  • Implementing the program
  • Metrics and KPIs
  • Training managers and coordinators
  • Operations
  • Manufacturing
  • Plant engineering
  • QA/QC staff
  • Process excellence/improvement professionals
  • Industrial/process engineers
  • Compliance officers
  • Regulatory/legislative affairs professionals
  • General/corporate counsel
Currency:
Webinar Option
Transcript (PDF Transcript of the Training)
Downloadable Recorded Session
USB

Speaker Profile

ins_img Ginette M. Collazo

Ginette Collazo, Ph. D. is an Industrial-Organizational Psychologist with 20 years of experience that specializes in Engineering Psychology and Human Reliability, disciplines that study the interaction between human behavior and productivity. She has held positions leading training and human reliability programs in the Pharmaceutical and Medical Device Manufacturing Industry.Nine years ago, Dr. Collazo established Human Error Solutions (HES), a Florida based boutique consulting firm, where she has been able to position herself as one of the few Human Error Reduction Experts in the world. HES, led by Dr. Collazo, developed a unique methodology for human error investigations, cause determination, CA-PA …

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