A Whole-System Approach to Identify the Sources of Variation in Patient Flow

Nasim Arbabzadeh, Mohsen A. Jafari, Kian Seyed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The main objective of this paper is to develop a quantitative framework to identify the main sources of variation in patient flow. Since 1983, under Health Care Financing Administration (HCFA)'s system, generally referred to as the Prospective Payment System (PPS), each hospital inpatient is classified into one of around 500 Diagnosis-Related Groups (DRGs), and the hospital is paid the amount that HCFA has assigned to each DRG. In other words, irrespective of what the hospital charges for, it will be paid only a fixed price for each DRG through major reimbursement plans. Therefore, it is logical to expect that by reducing the within DRG discrepancies, hospitals can cut cost and improve patient safety and satisfaction. In order to reach this goal the first step is to identify the main sources of variations. In this paper, we apply classical quality/process control tools and well known data mining methods to determine significant factors affecting the patient sequence among tens or hundreds of potential factors.

Original languageEnglish (US)
Title of host publicationProceedings of the International Conference on Health Care Systems Engineering
PublisherSpringer New York LLC
Pages203-214
Number of pages12
ISBN (Print)9783319018478
DOIs
StatePublished - 2014
EventInternational Conference on Health Care Systems Engineering, HCSE 2013 - Milan, Italy
Duration: May 22 2013May 24 2013

Publication series

NameSpringer Proceedings in Mathematics and Statistics
Volume61
ISSN (Print)2194-1009
ISSN (Electronic)2194-1017

Other

OtherInternational Conference on Health Care Systems Engineering, HCSE 2013
Country/TerritoryItaly
CityMilan
Period5/22/135/24/13

All Science Journal Classification (ASJC) codes

  • General Mathematics

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