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Enara MLS

Machine learning models developed by Sigesa that enable the creation of benchmarks, as well as the performance of predictive analytics on indicators and the simulation of case scenarios.

Enara MLS allows organizations to analyze their results from a new perspective and determine whether their clinical process management is within expected thresholds.

The results provided by Enara MLS complement the DRG (Diagnosis-Related Group) and add significant value to Clinical Management.

It has two functional areas:

Standards Area

Advanced Analytical Benchmarking

A detailed comparison, establishing relationships between observed and expected values ​​per episode for the specific case studies of each Center or Service, allows for much more specific comparisons that are tailored to the clinical reality of each center, enabling the establishment of personalized objectives.

Forecast Area

Predicting the future value of a time series, modeling the series using known information from the past, provided there is a sufficient volume of data.

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