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A DEA Model to Optimize Insurance Payment Plans based on PACs

Date Issued
December 1, 2013
Author(s)
Rajpal, Gagan  
Advisor(s)
Rupy Sawhney
Additional Advisor(s)
Xueping Li
Joseph Hubert Wilck IV
Ramon Leon
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/23651
Abstract

Healthcare industry has evolved dramatically over the time. From being a “cottage industry” to an “organized industry” has brought lot of changes. The changes have been both good and bad. Among the problems that have surfaced in past couple of decades, rising healthcare cost has been one of the most significant. The rising healthcare cost has been documented to be a symptom of several factors. Since the inception of healthcare as an organized industry several payment models for providers and hospitals have been adopted. Current healthcare reforms have proposed new payments models to curb the rising cost and provide consumer oriented healthcare.


The proposed payment models such as, bundled, capitation, PROMETHEUS, pay-for-performance and traditional model of fee-for-service, all have their merits and demerits. Some are good for chronic and others for acute conditions, some provide bonuses to physicians for high quality and efficient care where as others pay more for number of services used. Our literature review has highlighted the lack of systemic study to analyze the effect of payment models on reimbursement of physicians and hospitals. This study shows that no “single model” can be implemented to serve all the stakeholders. The proposed optimization model is a strategic tool that aligns dynamic patient population with existing reimbursement models and provides information to providers to help them design favorable contracts with insurers. The model also has a potential to help improve planning and operational activities of hospitals.

Subjects

Healthcare

DEA

Reimbursement

Optimization

PACs

Disciplines
Other Operations Research, Systems Engineering and Industrial Engineering
Degree
Doctor of Philosophy
Major
Industrial Engineering
Embargo Date
December 15, 2014
File(s)
Thumbnail Image
Name

Complete_Final.docx

Size

1.51 MB

Format

Microsoft Word XML

Checksum (MD5)

f8c3c188703795b2dbb8b77221632c0d

Thumbnail Image
Name

grajpalfinal.pdf

Size

2.86 MB

Format

Adobe PDF

Checksum (MD5)

6af860ccecaab85f62a986e99ac6eaa3

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