What is Artificial Intelligence Quality System?
Artificial Intelligence Quality System, quality management for the AI lifecycle.
Practical Framework
In addition to model performance, data quality, explainability, and regulatory compliance are also part of success.
In the Context of Artificial Intelligence
The Artificial Intelligence Quality System is related to applications that provide input to teams and managers in decision-making processes by analyzing clinical and operational data.
Why is it Important?
When addressed correctly, the Artificial Intelligence Quality System contributes to teams working with fewer errors and faster; and allows management to make decisions based on more robust data.
For more in-depth information, you can refer to the AI-Supported Hospital Management page, and for related concepts, check the Digital Dictionary page.
Sık Sorulan Sorular
What is the Artificial Intelligence Quality System?
Quality management for the AI lifecycle.
How is the Artificial Intelligence Quality System used in AI-supported processes?
The Artificial Intelligence Quality System plays a role in transforming clinical and operational data into insights; it does not make decisions but supports the decisions of relevant teams.
Under which category is the Artificial Intelligence Quality System evaluated?
The Artificial Intelligence Quality System is addressed under the Artificial Intelligence category in the context of health information systems and digital transformation.