IncidentAnalytix Blog

Visualizing Incident Data through AcciMaps & PreventiMaps

Visualizing Incident Data through AcciMaps & PreventiMaps The Systems Thinking approach to incident analysis  developed by Jens Rasmussen starts with identifying the factors that impacted the incident event. In the Safety I approach these are the factors which contributed to the adverse outcome. In the Safety II approach these are the factors that acted to prevent an adverse outcome.  IncidentAnalytix allows you to track both Contributing Factors and the Mitigating Factors based on a Taxonomy of causation types. You can also identify relationships where one factor impacted another. Rasmussen’s Systems Thinking approach builds these factors and relationships into a visual map of your incident allowing you to better understand the

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Association for Experiential Education 2020 Conference Materials

Risk Assessment & Safety Management: Integrating Safety I & Safety II for Accident Prevention The Risk Assessment & Safety Management System (RASM) used by programs around the world and provides a comprehensive approach for identifying the causes of accidents, assessing changing risk levels, and managing risk combing traditional Safety I methodologies (Avoiding That Things Go Wrong) with newer Safety II methodologies (Ensuring That Things Go Right). Learn how to analyze incident data to build graphical accident causation models (AcciMaps) and accident prevention models (PreventiMaps). Participants will apply these principles through case studies and small group collaboration. Diversity & inclusion, sexual harassment & assault and other safe space issues

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Wilderness Risk Management 2020 Conference Materials

Building a Risk Management Information System (RMIS): A Deep Dive into analyzing Contributing Factors and Mitigating Factors through Incident Database Tracking and Business Analytics Tools A Risk Management Information System (RMIS) is more than simply collecting incident reports. The RMIS is a comprehensive approach to risk management that combines structured incident data collection with causal analysis to identify the contributing factors and mitigating factors in the dynamic risk equation. Starting with data collection, you will learn how to utilize database technologies to gather comprehensive and consistent data for later analysis. Using the Risk Assessment & Safety Management framework, participants will learn how to combine the benefits of traditional

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Higher Education Protection Network 2020 Conference Materials

Incident Reporting & Data Analytics: Implementing a Risk Management Information System for Youth Protection Workshop at the HEPNet 2020 Conference Managing risk in youth programming means understanding the factors that either lead to incident events or to safe programming. Your best defense against risk is data collection and analysis of incidents and close calls to be able to quickly identify and mitigate hazards. In this workshop we’ll start by exploring the traditional Safety I approach to risk management which focuses on what went wrong and takes a ‘control mistakes’ approach to identify weaknesses or failures in the system. Safety I is often used as a framework for post-incident

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When to go back to Programming? Risk Management Decisions for COVID-19

When to go back to Programming? Risk Management Decisions for COVID-19 The focus of this webinar is examining the challenges of making risk management decisions about when to return to programming due to COVID-19. I explore using Safety I and Safety II approaches to risk management assessment and present some decision-making tools to help you determine how and when to start programming again and what level of activity that might mean.  I hope this gives you some new tools for helping to make program operation decisions about COVID-19. Download Files When to go Back to Programming Webinar PowerPoint Visio Cross-Functional Flowchart Sample (PDF) Microsoft Excel Cross-Functional Flowchart Template

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