Dr Pramod Kumar Pandey BSc (Hons), MSc, PhD, founder of PharmaGuru.co, is a highly experienced Analytical Research Expert with over 31 years in the pharmaceutical industry. He has played a key role in advancing innovation across leading Indian and global pharmaceutical companies. He can be reached at admin@pharmaguru.co
Human error in pharmaceutical analysis refers to personnel mistakes that can compromise product quality, patient safety, and regulatory compliance. These errors usually arise from systemic factors—such as unclear procedures, poor communication, insufficient training, or equipment issues—rather than individual fault alone. Human Error Case Study: Real-Life Incident from a Pharmaceutical Laboratory Background Early in my career, […]
Human Errors In Pharmaceutical analysis: How to identify and minimize
Humna Errors in QC (Source: Bing)
Human error in pharmaceutical analysis refers to personnel mistakes that can compromise product quality, patient safety, and regulatory compliance. These errors usually arise from systemic factors—such as unclear procedures, poor communication, insufficient training, or equipment issues—rather than individual fault alone.
Human Error Case Study: Real-Life Incident from a Pharmaceutical Laboratory
Background
Early in my career, I was employed at a reputed pharmaceutical company in Delhi. One day, a routine chemical analysis required the use of ammonia solution. The laboratory attendant was instructed to retrieve the solution from storage.
Incident Description
The ammonia solution had been stored in an uncontrolled temperature area, where it was exposed to high ambient temperatures for an extended period. When the attendant opened the bottle, the pressurised ammonia vapour rapidly expanded, causing the solution to splash forcefully onto his face and body.
The attendant immediately lost consciousness due to inhalation and chemical burns. He was rushed to the hospital and remained under medical care for several weeks.
Root Cause Analysis
Immediate cause: Opening a container with pressurised ammonia stored under improper conditions.
Contributing factors:
Lack of temperature-controlled storage for volatile chemicals
Inadequate hazard awareness and training
Absence of clear SOPs for handling temperature-sensitive materials
No use of appropriate personal protective equipment (PPE)
Impact
Severe injury to the employee
Work disruption and safety incident reporting
Reputational risk to the company
Regulatory non-compliance due to unsafe storage practices
Lessons Learned
Human error was not the true root cause; it was the result of systemic failures such as a lack of training, improper storage conditions, and the absence of risk controls.
All volatile chemicals must be stored in temperature-controlled areas as per their Material Safety Data Sheet (MSDS).
Proper SOPs and safety training must be provided to all laboratory personnel.
Use of PPE (goggles, gloves, lab coat, face shield) is mandatory when handling hazardous substances.
Risk assessments and periodic safety audits should be standard practice.
Implement temperature-controlled chemical storage.
Revise and train staff on SOPs for chemical handling.
Provide mandatory hazard communication and emergency response training.
Ensure availability and use of proper PPE.
Conduct regular safety drills and audits.
Key Takeaway: Labelling the incident simply as “human error” would not have solved the problem. Addressing the underlying system weaknesses — storage conditions, training, and controls — is what truly prevents recurrence and protects personnel.
Human error in pharmaceutical analysis refers to mistakes or deviations from standard procedures caused by human actions (either intentional or unintentional) during the testing, measurement, or documentation of pharmaceutical products.
These errors can affect the accuracy, precision, reliability, and compliance of analytical results, which are critical in ensuring product quality and patient safety.
2. What are the different types of Human Errors in Pharmaceutical Analysis?
Human errors in pharmaceutical analysis can be categorised in several ways:
A. Based on the Nature of Error
Slips and Lapses (Unintentional Errors)
It occurs when the person knows the correct procedure but fails to execute it properly.
Examples: Misreading a label, skipping a step, pressing the wrong button on an instrument.
Mistakes (Knowledge or Rule-based Errors)
It occurs when the person lacks adequate knowledge or applies the wrong procedure.
Examples: Using the wrong calculation formula, preparing the wrong concentration, misinterpreting an SOP.
Deliberate Violations
Intentional deviation from standard procedures, often due to time pressure or overconfidence.
Examples: Not calibrating equipment before use, skipping replicate tests.
B. Based on Analytical Process Stage
Sampling Errors
Incorrect collection, handling, or labelling of samples.
Example: Collecting an insufficient sample volume.
Sample Preparation Errors
Inaccurate weighing, dilution mistakes, and contamination.
Example: Using the wrong solvent or incorrect pipetting.
Instrumental or Operational Errors
Failure to calibrate, incorrect parameter settings, or poor maintenance.
Example: Not equilibrating the HPLC column properly.
Calculation & Data Handling Errors
Arithmetic mistakes, transcription errors, or using outdated versions of calculation sheets.
Example: Wrong unit conversion or decimal misplacement.
Documentation Errors
Incomplete, incorrect, or inconsistent recording of results.
Example: Missing signatures, wrong batch number.
3. How to Identify Human Errors?
Detecting human errors early is crucial to avoid release of inaccurate analytical results. Methods include:
Review of Analytical Records — checking raw data, calculations, logbooks, and chromatograms.
Cross-verification — independent verification of critical steps and results by a second analyst.
Implementation of Corrective and Preventive Actions (CAPA) based on error trend analysis.
5. Summary Table: Human Error
Stage
Possible Human Error
Identification
Minimization
Sampling
Wrong sample, mislabeling
Record review, reconciliation
Training, labeling SOP
Preparation
Incorrect weighing, contamination
Cross-checking, deviation reports
Double-checking, clean environment
Instrumentation
Wrong parameter setting
System logs, peer review
SOP adherence, training
Calculation
Math or transcription error
Review, trend analysis
Electronic tools, peer verification
Documentation
Incomplete records
Audit trails, QA review
Clear SOPs, error reporting
Expert Tips: Human errors in pharmaceutical analysis can’t be fully eliminated, but they can be minimised through training, robust SOPs, automated systems, and a strong quality culture. Identifying and addressing these errors promptly ensures the reliability of analytical results and compliance with regulatory requirements.
FAQs on Human Error: Human Errors in Pharmaceutical Analysis
1. What is a human error in pharmaceutical analysis?
Human error refers to an unintentional or intentional deviation from standard procedures during analytical testing, calculations, documentation, or reporting that can affect the accuracy and reliability of results.
2. How can training help reduce human errors?
Proper and continuous training improves analysts’ knowledge, skills, and awareness of critical steps, leading to fewer mistakes and better adherence to procedures.
3. How do human errors impact pharmaceutical product quality?
They can lead to inaccurate test results, batch rejection, regulatory non-compliance, product recalls, patient safety risks, and damage to the company’s reputation.
4. What are the common causes of human errors in the laboratory?
Lack of proper training or knowledge Fatigue, stress, or distractions Ambiguous or outdated SOPs Poor work environment Time pressure and inadequate supervision
5. What types of human errors commonly occur in pharmaceutical analysis?
Sampling errors
Sample preparation errors
Instrument operation errors
Calculation and transcription errors
Documentation errors
6. How can human errors be identified in pharmaceutical analysis?
Reviewing analytical records and raw data
Cross-checking results by a second analyst
Trend analysis of deviations and OOS results
Audits and self-inspections
Root cause investigations (e.g., 5 Whys, Fishbone)
7. What tools are used to investigate human errors?
5 Whys technique
Ishikawa (Fishbone) diagram
Failure Mode and Effects Analysis (FMEA)
Human error trend analysis
Deviation investigation forms
8. What is the difference between a human error and a system error?
Human error: Mistake made by a person due to inattention, lack of skill, or poor judgment.
System error: Fault in the process, equipment, or environment that sets up conditions for error. Most human errors are linked to weak systems rather than individuals.
9. What preventive measures can minimize human errors?
Well-written, clear SOPs
Regular training and competency checks
Peer review and double-checking
Automation of critical steps
Creating a no-blame reporting culture
10. What role does documentation play in preventing human errors?
Accurate and complete documentation ensures traceability, helps detect errors early, supports regulatory compliance, and provides data for investigations and CAPA.
11. How are human errors addressed during regulatory inspections?
Inspectors check for error trends, investigations, CAPA implementation, training records, and the robustness of quality systems. Poor error handling can lead to regulatory observations or warnings.
12. Is human error a valid root cause?
No — “human error” alone is not a valid root cause.
It’s only a symptom. A proper root cause analysis must identify why the error occurred (e.g., unclear SOP, inadequate training, poor system design, or lack of controls). Simply stating “human error” doesn’t prevent recurrence.