Human error is a common term in pharmaceutical analytical laboratories. Which is due to carelessness or to the lack of proper training.
1. Procedural Errors
These occur when the analyst fails to follow the correct procedures or protocols for conducting a specific test or analysis. This can include skipping steps, using incorrect equipment, or not adhering to safety guidelines.
2. Calculation Errors
These errors occur when the analyst makes mistakes in performing mathematical calculations required for data analysis. This can include errors in unit conversions, decimal point placement, or simple arithmetic mistakes.
3. Sampling Errors
These errors occur during the collection of samples for analysis. They can include improper sample handling, contamination of samples, or inadequate sample size.
4. Instrumentation Errors
These errors occur when there are issues with the laboratory instruments used for analysis. This can include calibration problems, malfunctioning equipment, or incorrect instrument settings.
5. Recording and Transcription Errors
These errors occur when there are mistakes in recording data or transferring data from one source to another. This can include typographical errors, misreading values on instruments, or mislabeling samples.
6. Interpretation Errors
These errors occur when the analyst misinterprets data or results obtained from an analysis. This can be due to lack of experience, bias, or misunderstanding of analytical techniques.
7. Contamination Errors
These occur when external substances contaminate samples during handling or analysis. Contamination can lead to inaccurate results and compromised data integrity.
8. Time-related Errors
These occur when there are delays in performing analyses or reporting results within specified timeframes. Time-related errors can affect the accuracy and reliability of analytical data.
9. Communication Errors
These occur when there is a breakdown in communication between analysts, supervisors, and other laboratory personnel regarding test requirements, protocols, or result reporting.
10. Human Factors and Fatigue-related Errors
These occur due to factors such as fatigue, stress, distraction, lack of concentration, or inadequate training that may affect an analyst's performance and decision-making abilities in the laboratory setting.
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