What is Demand Forecasting?
Demand forecasting is the estimation of service/product demand.
In the context of artificial intelligence
Demand forecasting 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.
How does it work?
In addition to model performance, data quality, explainability, and regulatory compliance are also part of success.
In summary
In summary, demand forecasting 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 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 demand forecasting?
Estimation of service/product demand.
How is demand forecasting used in AI-supported processes?
Demand forecasting 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 concerned with demand forecasting?
Demand forecasting is of interest to teams working in the field of Artificial Intelligence, primarily data/analytics teams and managers seeking decision support.