Performance

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The Length of Hospitalisation in ICU plug-in, from the Performance module of the Epimed Monitor System, evaluates the long-stay risk for each patient in your ICU, calculating, from on the first day, individual estimates of length of stay and the probability of a long stay in the ICU.

Exclusive predictive analysis algorithms, developed by Epimed Solutions®, take into consideration dozens of clinical characteristics for each patient.

As well as this, from the information of more than 1.5 million patients staying in the more than 800 ICUs that use the Epimed Monitor System, we have developed an exclusive system of diagnostic classification which shows specific patterns of duration of hospitalisations in the ICU and in the hospital for each diagnosis.

The Length of Hospitalisation in ICU plug-in is completely integrated with the Adult ICU Module of the Epimed Monitor System and no additional information is necessary for the generation of predictive analyses

Free Test

Evaluate the long-stay risk of each ICU patient by calculating
the estimated length of stay on the first day of hospital admission.

Main benefits

 

Differentials

  • Model created specifically for ICU patients from a large database of Brazilian patients
  • Early actionable data to assist in decision-making and help to improve patient care and ICU management.
  • Generated from clinical data, not from medical bills
  • An exclusive system for classification of cases
  • Good accuracy for individual and unit evaluation
  • Wide-ranging and qualified benchmarking, including hospitals of excellence, accredited, both public and private
  • Compatible with the main operating systems and available for Android® and iOS® platforms

Main Features

  • Individualised estimates for length of stay in the ICU and of the risk of lengthy hospitalisation
  • Tracking and identification of cases by function of clinical characteristics, patterns of hospitalisation in the ICU and risk of lengthy hospitalisation
  • Panel showing beds, with interpretation of the characteristics of each patient by function of the benchmarking data of the Epimed Monitor System
  • Dashboards and interactive online reports for the evaluation of the performance of the ICU
  • Qualified benchmarking, with the application of filters for the classification of the patients, ICUs and hospitals that are to be compared

Free Test

Evaluate the long-stay risk of each ICU patient by calculating
the estimated length of stay on the first day of hospital admission.