What is Data drift?
Data drift, the distribution of input data changes over time.
How does it work?
In addition to model performance, data quality, explainability, and regulatory compliance are also part of success.
In terms of data and intelligence
Data drift relates to applications that provide input to teams and managers in decision-making processes by analyzing clinical and operational data.
What is its practical use?
Data drift, beyond being an abstract concept; when working with real patient and operational data, it can translate into tangible gains in time, cost, and quality.
For more in-depth information, you can refer to the AI-Powered Hospital Management page, and for related concepts, check the Digital Dictionary page.
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What is data drift?
The distribution of input data changes over time.
How is data drift used in AI-supported processes?
Data drift 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 data drift evaluated?
Data drift is addressed under the Artificial Intelligence category in the context of health information systems and digital transformation.