Glassbeam Clinsights
Description
The system medical device data and then uses AI to predict medical device failure. So it uses wear and tear data to determine if the components are failing to prevent patient harm.
Detailed example
This system takes imperial data from manufactures manual and then exports that data to a web interface where is displays the health of the device and it's components and displays any failures that is captures as well.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
It expects to detect medical device component wear and reports it to HTM to give the tech the knowledge that a part is failing so that it can be replaced before it wears out or breaks.
Controls / human review
ATO: Not reported; PIA: Not published