Keywords

Hospitals -- Administration -- Simulation methods, Management science -- Mathematical models, Simulation methods

Abstract

Recent legislation by Medicare restricts its reimbursement per patient according to the patient's particular type of disease. The reimbursement is based on a set of Diagnosis Related Groups (DRG's), which categorizes patients into disease classifications. As a result, hospitals must make efficiency gains and managers must look for new ways to provide quality care while containing costs. A simulation technique was developed by which the financial results of particular administrative policies can be predicted. Patient billing data were collected over a three-month period and analyzed for the purpose of simulating length of stay and resource consumption per cost center. Regression analysis were used to approximate departmental costs as a function of length of stay and to estimate total cost as a function of certain departmental costs. Distribution-fitting techniques were used to determine the method of random generation for independent variables. The simulation model was run with two embellishments to illustrate how policies are interjected and results are interpreted.

Notes

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Graduation Date

1984

Semester

Fall

Advisor

Sepulveda, Jose A.

Degree

Master of Science (M.S.)

College

College of Engineering

Degree Program

Engineering

Format

PDF

Pages

124 p.

Language

English

Rights

Public Domain

Length of Campus-only Access

None

Access Status

Masters Thesis (Open Access)

Identifier

DP0015868

Accessibility Status

Searchable text

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Included in

Engineering Commons

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