Products > Case-Mix Area > Enara MLS

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.

Request a Demo

To request more information about our products, to schedule a demo, or for any other inquiries, please contact us and we will get back to you as soon as possible.

    I have read and accept theprivacy policy*

    Iconsent to the processing of my personal data*.

    More products

    2026-06-11T15:05:05+00:00
    TeamCoder

    TeamCoder

    A versatile, adaptable and highly customisable expert coding solution. It is designed by and for coders, and includes a range of tools to streamline and optimise the coding process.

    2026-06-11T15:00:44+00:00
    SmartView Manager

    SmartView Manager

    A solution designed for senior management at the hospital, available on mobile devices. It provides summarised information that allows users to quickly and easily gain an overview of the hospital’s current situation.

    2026-06-11T14:42:18+00:00
    Alcor POB

    Alcor POB

    Population health analysis, calculation and analysis of population risk adjustment indicators, and analysis and management of chronic patients based on Solventum CRG