Safety Assurance
Safety Assurance describes the on-going monitoring and assessment of a domain’s operational safety performance to identify emerging safety needs before they escalate into a reportable occurrence.
Related ICAO Terms - Self-disclosure Reporting Systems (automatic data capture systems) Annex 6, Part I, Chapter 3
Safety Assurrance Matrix
Routine Ops |
Expert Analysis |
Deep Learning |
Industry Driving |
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Data Collection | |||
Data is collected from internal databases that capture factual operational information (where, when), such as:
- Delays
- Traffic counts
- Production numbers (manufacturers)
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To gather direct performance variability causes, data is collected from systems and databases that capture outcome-based information, such as:
- FOQA
- TARP (radar track)
|
To gather contributing factors to performance variability, data is collected from systems and databases that capture operations monitoring information, such as:
- LOSA
- NOSS (Normal Op. Safety Survey)
- Line operations quality assurance (manufacturers)
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Data is collected from multiple sources, such as:
- Internal / external preventative safety programs
|
Data Analysis | |||
An organization processes rate data to identify performance variability trends by:
- Event type
- Outcome
A domain calculates the probability of an individual hazard leading to an outcome. |
An organization processes data to:
- Identify the frequency and rate of direct performance variability causes
- Link direct performance variability causes to the outcome
- Identify the role of a domain in an event
- Begin the identification of risk by aggregating safety assurance data to identify trends
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An organization processes data to:
- Identify the frequency and rate of contributing factors
- Link contributing factors to direct performance variability causes and to the event outcome
- Identify quantitative data relationships to develop a detailed risk picture
- Identify qualitative data relationships to improve the understanding of quantitative relationships
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An organization processes data to:
- Proactively identify risk pathways through statistical tests
- Identify safety benefits
- Develop corrective actions to address globally trending issues
- Develop and compare safety benchmarks
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Data Collaboration | |||
An organization collaborates exclusively within an affected department. |
Within an organization the affected department collaborates with another internal department, such as the safety department. |
All departments within an organization collaborate among one another. |
Organizations within a domain collaborate with another organization in a similar or different domain to address global safety needs (e.g. CAST safety enhancement). |
Safety Assurance Examples & Resources
Provided below is a series safety assurance resources. Click any item for additional information and links to relevant resources.
This Accident Prevention Program document contains a section on data analysis. Information in Portuguese.