Data Driven Load Balancing at Emergency Departments using ‘Crowdinforming’ | Zendy

Marcia Friesen | Zendy; Trevor Strome | Zendy; Shamir Mukhi | Zendy; Robert D McLeod | Zendy

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Data Driven Load Balancing at Emergency Departments using ‘Crowdinforming’

Author(s) -

Marcia Friesen,

Trevor Strome,

Shamir Mukhi,

Robert D McLeod

Publication year - 2011

Publication title -

online journal of public health informatics

Language(s) - English

Resource type - Journals

ISSN - 1947-2579

DOI - 10.5210/ojphi.v3i2.3520

Subject(s) - emergency department , overcrowding , medical emergency , computer science , medicine , control (management) , process (computing) , scrutiny , patient safety , operations management , operations research , health care , artificial intelligence , engineering , nursing , political science , law , economics , economic growth , operating system

Emergency Department (ED) overcrowding is an important healthcare issue facing increasing public and regulatory scrutiny in Canada and around the world. Many approaches to alleviate excessive waiting times and lengths of stay have been studied. In theory, optimal ED patient flow may be assisted via balancing patient loads between EDs (in essence spreading patients more evenly throughout this system). This investigation utilizes simulation to explore "Crowdinforming" as a basis for a process control strategy aimed to balance patient loads between six EDs within a mid-sized Canadian city.

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