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Enara MLS

Enara MLS is an advanced analytics solution that uses artificial intelligence with algorithms based on machine learning techniques to generate expected results at the episode level for multiple indicators and compare them with observed data, achieving highly predictive values ​​for some indicators. Furthermore, using techniques such as Forecast, it is possible to calculate predictions for certain indicators of interest.

Description

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. Analyze the case studies of patients treated.

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.

Relevant indicators for hospitalization

Standards:

Expected stay

Probability of mortality

Probability of admission

Expected surgical stay

Forecast:

Highs

Total stay

ICU admissions

Average pre-surgical stay

Mortality

Readmission (NHS criteria)

Total complexity

IEMA

Avoidable stays

Potentially outpatient procedures

Chronic patients

. . .

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