Book contents
- Patient Safety and Quality Improvement in Anesthesiology and Perioperative Medicine
- Patient Safety and Quality Improvement in Anesthesiology and Perioperative Medicine
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Acknowledgments
- Chapter 1 Introduction
- Section 1 Design and Simulation
- Section 2 Quality Improvement Tools
- Chapter 4 Preoccupation with Failure: Daily Management System
- Chapter 5 Lean versus Model for Improvement
- Chapter 6 Cause Analysis
- Section 3 Reporting and Databases
- Section 4 Putting Tools into Practice
- Section 5 People, Behavior, and Communication
- Index
- References
Chapter 6 - Cause Analysis
from Section 2 - Quality Improvement Tools
Published online by Cambridge University Press: 27 July 2023
Book contents
- Patient Safety and Quality Improvement in Anesthesiology and Perioperative Medicine
- Patient Safety and Quality Improvement in Anesthesiology and Perioperative Medicine
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Acknowledgments
- Chapter 1 Introduction
- Section 1 Design and Simulation
- Section 2 Quality Improvement Tools
- Chapter 4 Preoccupation with Failure: Daily Management System
- Chapter 5 Lean versus Model for Improvement
- Chapter 6 Cause Analysis
- Section 3 Reporting and Databases
- Section 4 Putting Tools into Practice
- Section 5 People, Behavior, and Communication
- Index
- References
Summary
We all make errors every day. In healthcare, the errors we make can harm our patients. When such an event happens, the institution owes it not only to the patient but also to the staff involved in an event, as well as to future patients who may be similarly harmed, to learn from the event and to prevent similar events from happening again. There are various types of Cause Analysis, or tools used to analyze the causes of certain events. Usually such tools are used to study an undesired outcome, and in healthcare, these are often used to study adverse events. This chapter will describe the process of performing a Root Cause Analysis for serious events, as well as touch upon the concepts of Apparent Cause Analysis for less serious events and Common Cause Analysis to look for themes across events. Failure Mode Effects Analysis (FMEA), related to Cause Analysis, is described separately in Chapter 10.
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- Publisher: Cambridge University PressPrint publication year: 2023
References
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