MEDAL: Measuring of Emergency Departments Adaptive Load

This paper proposes an innovative approach for measuring real-time operational load within Emergency Departments. Currently, there is no agreement regarding standard matrices for measuring operational load within ED. As a result, it is difficult to develop methods and approaches for reducing operational load. We propose a flexible framework based on neural networks that calculate user-tuned load value based on a set of well-defined operational and clinical indicators. The operational load value is calculated by learning the weights of the raw operational indicators within a particular emergency department.

By: Edward Vitkin, Boaz Carmeli, Ohad Greenshpan, Dorit Baras, Yariv Marmor

Published in: H-0270 in 2009


This Research Report is available. This report has been submitted for publication outside of IBM and will probably be copyrighted if accepted for publication. It has been issued as a Research Report for early dissemination of its contents. In view of the transfer of copyright to the outside publisher, its distribution outside of IBM prior to publication should be limited to peer communications and specific requests. After outside publication, requests should be filled only by reprints or legally obtained copies of the article (e.g., payment of royalties). I have read and understand this notice and am a member of the scientific community outside or inside of IBM seeking a single copy only.


Questions about this service can be mailed to .