What is Data Mining?
Data mining is the discovery of meaningful patterns within big data.
In the context of artificial intelligence
Data mining is related to the approach of transforming data into insights and decision support in AI-supported health processes. The goal is not to make decisions on behalf of humans, but to make the right data visible at the right time.
Scope and application
Analytical concepts provide visibility to managers by transforming scattered data into indicators, KPIs, and dashboards.
In summary
In short, data mining 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 more in-depth information, you can refer to the AI-Supported Hospital Management page, and for related concepts, check the Digital Dictionary page.
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What is data mining?
The discovery of meaningful patterns within big data.
How is data mining used in AI-supported processes?
Data mining 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 interested in data mining?
Data mining is of interest to teams working in the field of Artificial Intelligence, primarily data/analytics teams and managers seeking decision support.