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Contact Info
198 West 21th Street, Suite 721
New York, NY 10010
youremail@yourdomain.com
+88 (0) 101 0000 000
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Predictive Analysis

The Epimed Performance ICU Lenght of Stay (LOS) algorithm predicts both the basal risk for prolonged ICU stay and the estimates of ICU LOS related to specific diagnosis groups
1

ICUs

2

Patients

Powered by a database with more than 2.500.000 adult patients, our exclusive predictive analysis algorithm takes into consideration dozens of clinical characteristics for individual estimates on the first ICU day.

The Epimed Performance ICU Lenght of Stay is completely integrated with the Adult ICU Module of the Epimed Monitor System and no additional information is necessary for the predictive analyses estimates

Main Benefits

Patients' Management

  • Optimize the implemention of clinical protocols

  • Enrich discussions during multiprofessional clinical rounds in your ICU

  • Improve patients' transition of care planning

Operational

  • Better patients’ discharge planning
  • Optimize the prioritization of patients to be evaluated in your ICU
  • Get additional information to support discussions regarding care planning with family members, attendings and hospitals managers

Strategic

  • Enhance discussions with payors and health insurance companies
  • Optimize patients flow and ICU bed allocation
  • Improve performance and efficiency in resource use assessment of your ICU

Differentials:

Early actionable data to assist in decision-making and improvements in patients´ care and ICU management

We use clinical information is our estimates, not billing data

Exclusive classification of main admission diagnosis using clinically comparable groups according to patient-centered outcomes

In-depth graphic analysis of diagnosis-related ICU LOS at patient and ICU levels

Detailed benchmarking of LOS prediction and actual LOS according to risk groups

Compatible with the main operating systems and available for Android® and iOS® platforms

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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

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See how the system works!

The demonstrations take approximately 20 minutes. It is fast!