Draft:Incident Cause Analysis Method (ICAM)
systematic safety investigative process
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The Incident Cause Analysis Method (ICAM) is a holistic safety investigation process used to identify the underlying systemic causes of accidents. Based on the "Swiss Cheese Model" of system safety developed by Professor James Reason, ICAM is designed to move beyond the identification of individual human error to uncover organisational failures that contribute to incidents.[1].
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It is widely considered a gold standard in high-risk industries—including mining, aviation, rail, and energy—because it fosters a "Just Culture" by focusing on system health rather than individual culpability[2].
History and Development
ICAM was developed in the late 1990s, spearheaded by the safety team at BHP (formerly BHP Billiton) to create a consistent global framework for investigating workplace fatalities and significant events. The method was designed to standardise data collection and analysis across diverse operations. By shifting the focus from "who did it" to "why it happened," ICAM aligned industrial safety practices with modern human factors research pioneered by James Reason and Sidney Dekker[3].
Theoretical Framework
The methodology is grounded in the Swiss Cheese Model of accident causation. In this model, an organisation’s defences against failure are likened to slices of Swiss cheese: while each slice (defence) has holes (weaknesses), an accident occurs only when the holes in every slice align, allowing a hazard trajectory to reach a victim [1].
The Five ICAM Categories
During an analysis, investigators categorize findings into five specific layers:
- Absent or Failed Defenses: The immediate safeguards, such as physical barriers, PPE, or automatic shut-offs, that failed to prevent the outcome.
- Individual or Team Actions: The specific errors or violations committed by personnel (e.g., a pilot skipping a checklist item) [2].
- Task or Environmental Conditions: Situational factors that influenced performance, such as fatigue, poor weather, or inadequate lighting.
- Organisational Factors: Strategic decisions or processes, such as resource allocation, training systems, or contractor management.
- Root Causes: The fundamental systemic drivers that, if addressed, have the greatest potential to prevent recurrence [3].
The Investigation Process
The ICAM process follows a structured six-step workflow to ensure objectivity:
- Immediate Action: Responding to the incident, providing medical aid, and securing the scene to prevent evidence tampering.
- Investigation Planning: Setting the scope (Terms of Reference) and assembling a multidisciplinary team.
- Data Collection: Utilizing the "Five P's" framework: People (witnesses), Parts (failed equipment), Paper (manuals/permits), Position (site mapping), and Processes (standard operating procedures) [2].
- Data Analysis: Using a timeline or "PEEPO" (People, Equipment, Environment, Procedures, Organization) chart to map the incident before applying the ICAM analysis tool.
- Recommendations: Creating corrective actions that follow the Hierarchy of Controls, prioritizing elimination and engineering over administrative fixes.
- Reporting and Learning: Sharing the findings across the organization to prevent "siloed" knowledge[4].
Industry Application
While initially created for the resources sector, ICAM has been adapted globally:
- Aviation: Used by regulatory bodies and airlines to analyze maintenance and flight deck errors[5]
- Healthcare: Applied to "sentinel events" to identify how hospital administrative systems contribute to clinical errors.
- Transport: Utilized by rail and shipping companies to investigate collisions and derailments.
Comparison with Other Methods
ICAM differs from simpler methods like the "5 Whys" by providing a multi-linear view of an accident. Unlike some Root Cause Analysis (RCA) variations that stop at the "broken part" or "operator error," ICAM forces the investigation to examine the "Organisational Factors"—the highest level of the system—ensuring that the solution is as deep as the cause [3].
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