What is Patient segmentation?
Patient segmentation, grouping patients based on common characteristics.
Scope and application
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
Patient segmentation is related to the approach of transforming data into insights and decision support in AI-supported healthcare processes. The goal is not to make decisions on behalf of humans, but to make the right data visible at the right time.
Considerations
The most common mistake regarding patient segmentation is viewing it as a standalone software feature. Lasting benefits come from addressing process design, data quality, and team habits together.
To see this concept in context, you can refer to the AI-Supported Hospital Management guide, and return to the Digital Dictionary page for other terms.
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What is patient segmentation?
Grouping patients based on common characteristics.
How is patient segmentation used in AI-supported processes?
Patient segmentation plays a role in transforming clinical and operational data into insights; it does not make decisions but supports the decisions of relevant teams.
Who is concerned with patient segmentation?
Patient segmentation is of interest to teams working in the field of Artificial Intelligence, primarily data/analytics teams and managers seeking decision support.