Composite Index Creation Using AHP: Efficiency Optimization for the Health Care Industry

Submitter and Co-author information

Andrea YzeiriFollow
Fazle Baki, University of Windsor

Type of Proposal

Oral Presentation

Faculty

Odette School of Business

Proposal

The growth of the health care industry, both in medicine and administration, increases the awareness of determining the efficiency of the services, utilities, and performance. The objective of this paper is to present a conceptual creation of an index that will quantify the efficiency of centers in the health care industry. The creation of a composite index to measure the health care industry’s efficiency simplifies both internal and external decisions made for specific centers. It will aid in defining the optimal amount of hospitals that will fulfill the health care needs of designated areas. The indices allow for appropriate comparisons between hospitals or clinics, respectively, and their effectiveness on all levels of functionality. AHP (Analytical Hierarchy Process) is the methodology incorporated in the creation of the composite index. It is an eigenvector method of calculating priorities which most researchers have found to be a superior methodology for the weighing of a composite index. The index integrates sub-indices that are aggregated and weighted to determine the overall efficiency. DEA (Data Envelopment Analysis) is also used to compare the efficiency level of the simulated hospitals so as to standardize the efficiency level of all hospitals involved. The simulation hospitals are created using CIHI data.

Start Date

23-3-2018 10:35 AM

End Date

23-3-2018 11:55 AM

Location

Alumni Auditorium A

Grand Challenges

Viable, Healthy and Safe Communities

Special Considerations

I'm currently working on this as my undergraduate thesis. I'm hoping that the closer I get to the conference I can either provide my paper, or something additional with my presentation.

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Mar 23rd, 10:35 AM Mar 23rd, 11:55 AM

Composite Index Creation Using AHP: Efficiency Optimization for the Health Care Industry

Alumni Auditorium A

The growth of the health care industry, both in medicine and administration, increases the awareness of determining the efficiency of the services, utilities, and performance. The objective of this paper is to present a conceptual creation of an index that will quantify the efficiency of centers in the health care industry. The creation of a composite index to measure the health care industry’s efficiency simplifies both internal and external decisions made for specific centers. It will aid in defining the optimal amount of hospitals that will fulfill the health care needs of designated areas. The indices allow for appropriate comparisons between hospitals or clinics, respectively, and their effectiveness on all levels of functionality. AHP (Analytical Hierarchy Process) is the methodology incorporated in the creation of the composite index. It is an eigenvector method of calculating priorities which most researchers have found to be a superior methodology for the weighing of a composite index. The index integrates sub-indices that are aggregated and weighted to determine the overall efficiency. DEA (Data Envelopment Analysis) is also used to compare the efficiency level of the simulated hospitals so as to standardize the efficiency level of all hospitals involved. The simulation hospitals are created using CIHI data.