disuccion hnof

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Introduction:

In the field of public health, it is essential to analyze errors that may occur during clinical processes to reduce their likelihood of recurrence. Root Cause Analysis is an effective method to identify the reasons behind errors and develop strategies to prevent them.

Types of errors that are classified in a Root Cause Analysis:

There are four types of errors that are identified in a Root Cause Analysis:

1. Active errors: These errors occur at the individual level and are caused by immediate human actions. Examples of active errors include incorrect data entry, misinterpretation of information, or mechanical errors.

2. Latent errors: These errors are caused by systemic problems such as faulty equipment or communication gaps. They are often hidden and could remain dormant for a long time.

3. Human errors: These are the errors that occur due to human factors such as fatigue, stress, or lack of knowledge. Human errors may be active or latent.

4. Organizational errors: These errors happen due to inadequate policies, procedures, or inadequate resources.

Accident models presented in Chapter 6 of the text:

The text presents two accident models: The Swiss Cheese Model and the Systems Approach Model. The Swiss Cheese Model suggests that accidents occur due to multiple failures in various systems. In contrast, the Systems Approach Model suggests that accidents are the result of defective systems that fall short of meeting the desired standards.

How these tools can be used to analyze the errors:

Both models could be applied to analyze the errors identified in the Root Cause Analysis. For example, the Swiss Cheese Model could be used to identify the multiple system failures leading up to the error, while the Systems Approach Model could identify the root causes, such as inadequate policies or resources, which led to the error. The use of these models helps to identify areas of improvement to prevent similar errors from occurring in the future.