What is Model Monitoring?
Model Monitoring, continuous monitoring of the model in production.
Practical Framework
AI-based concepts provide prediction and decision support by revealing patterns in data, but do not replace decision-making.
In the Context of Artificial Intelligence
Model monitoring is related to applications that analyze clinical and operational data to provide input to teams and managers in decision-making processes.
In Brief
In summary, model monitoring is one of the building blocks that constitute the digital maturity of a healthcare institution; it is an approach that generates value when properly structured, rather than just a singular tool.
For relevant consulting areas, you can check our solutions and review the AI-Supported Hospital Management guide to see the whole subject.
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What is model monitoring?
Continuous monitoring of the model in production.
How is model monitoring used in AI-supported processes?
Model monitoring plays a role in transforming clinical and operational data into insights; it does not make the decision but supports the decision of the relevant teams.
Who is interested in model monitoring?
Model monitoring is of interest to teams working in the field of Artificial Intelligence, primarily data/analytics teams and managers seeking decision support.