Fishbone Tool of Investigation in Pharmaceuticals

🐟 Fishbone Tool of Investigation in Pharmaceuticals
📌 What is It?
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A cause-and-effect diagram shaped like a fish skeleton.
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“Head” = problem statement (e.g., OOS result, contamination, deviation).
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“Bones” = major categories of potential causes.
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Helps investigation teams visualize, categorize, and analyze possible root causes systematically.
🧾 Common Categories in Pharmaceutical Investigations
Typically adapted into 6M model (can vary):
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Man (Personnel)
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Inadequate training or knowledge.
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Human error (improper gowning, sampling mistakes).
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Non-compliance with SOPs.
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Machine (Equipment)
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Equipment malfunction, improper calibration.
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Poor preventive maintenance.
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Design not suitable for cleaning.
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Method (Procedures/SOPs)
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Inadequate or unclear SOPs.
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Not followed as written.
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Lack of proper validation.
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Material (Raw & Packaging)
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Poor quality of raw materials or excipients.
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Incorrect labeling or dispensing.
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Supplier-related variability.
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Measurement (Testing & Data Integrity)
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Analytical method errors.
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Incorrect instrument settings.
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Data integrity lapses.
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Mother Nature (Environment)
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Environmental contamination (microbial, dust).
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Temperature/humidity excursions.
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Poor cleanroom classification or monitoring.
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🔍 Steps in Using Fishbone for Investigation
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Define the problem clearly (e.g., “High bioburden in water sample” or “Tablet hardness out of spec”).
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Brainstorm possible causes under each category.
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Populate the fishbone diagram with identified causes.
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Analyze which causes are most likely using data, trend analysis, and evidence.
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Identify the root cause(s) and link them to CAPA actions.
✅ Benefits in Pharma Investigations
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Encourages team-based brainstorming.
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Provides a structured and visual approach to RCA.
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Ensures no potential cause is overlooked.
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Strengthens compliance with FDA/ICH Q10 expectations for scientific investigation.
📌 Example Use Cases in Pharma
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OOS result in HPLC assay.
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Repeated microbial contamination in cleanroom.
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Packaging mix-up investigation.
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Equipment breakdowns affecting batch yield.
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