
Date & Time
Starts
Oct 21, 2025 9:00am CST
Ends
9:45am CST
Location
Online
Language
English
Estimating the severity of harms
Accurately estimating the severity of harms resulting from use errors is an essential component of use-related risk analysis in medical device development. Yet, the conventional method for estimating potential harm is arguably primitive and unreliable. As a result, two assessment teams can arrive at different harm severity estimates based on the same inputs. For example, one team assessing an insulin pen-injector might rate a needlestick injury as catastrophic, while another might rate it as minor or even negligible.
Approaches to assessing harm severity
In this webinar, presenters will discuss approaches to assessing harm severity based on multiple contributing factors. Consistent with regulatory guidance on use-related risk analysis, they will set the probability of the use error as 100%.
They will also address how to fully consider use error preconditions and ensuing events, including:
- User vulnerability
- Failure interdependency
- Use error and harm detectability
- Medical intervention efficacy
The presenters will explain the advantages of using harm estimation rules to balance severity ratings and avoid both under- and over-estimates. They will also highlight why overestimating harm severity does not necessarily result in a safer medical device and could ultimately block access to devices patients need.
Webinar attendees will learn about:

The limitations and consequences of simplistic harm estimation

The value of taking a focused approach to harm estimation

How to account for use error preconditions and the ensuing events that may influence severity ratings

The benefits of establishing harm estimation rules
Join us and learn about opportunities to systematically evaluate use error harm during the use-related risk analysis of medical devices.
About our presenters
Join us!
Join our HFE experts as they examine opportunities to systematically evaluate use error harm during the use-related risk analysis of medical devices.