Case Mix Planning in Hospitals: a Review and Future Agenda

Overview

Journal Health Care Manag Sci

Specialty Health Services

Date 2015 Sep 21

PMID 26386970

Citations 9

Authors

Sebastian Hof

Andreas Fugener

Jan Schoenfelder

Jens O Brunner

Affiliations

Soon will be listed here.

Abstract

The case mix planning problem deals with choosing the ideal composition and volume of patients in a hospital. With many countries having recently changed to systems where hospitals are reimbursed for patients according to their diagnosis, case mix planning has become an important tool in strategic and tactical hospital planning. Selecting patients in such a payment system can have a significant impact on a hospital's revenue. The contribution of this article is to provide the first literature review focusing on the case mix planning problem. We describe the problem, distinguish it from similar planning problems, and evaluate the existing literature with regard to problem structure and managerial impact. Further, we identify gaps in the literature. We hope to foster research in the field of case mix planning, which only lately has received growing attention despite its fundamental economic impact on hospitals.

Citing Articles

Analytical Techniques for Supporting Hospital Case Mix Planning Encompassing Forced Adjustments, Comparisons, and Scoring.

Burdett R, Corry P, Cook D, Yarlagadda P Healthcare (Basel). 2025; 13(1.

PMID: 39791657 PMC: 11720574. DOI: 10.3390/healthcare13010047.

Leveraging the potential of the German operating room benchmarking initiative for planning: A ready-to-use surgical process data set.

Korzhenevich G, Zander A Health Care Manag Sci. 2024; 27(3):328-351.

PMID: 38696030 PMC: 11461674. DOI: 10.1007/s10729-024-09672-9.

A stochastic programming approach to perform hospital capacity assessments.

Burdett R, Corry P, Spratt B, Cook D, Yarlagadda P PLoS One. 2023; 18(11):e0287980.

PMID: 37943876 PMC: 10635551. DOI: 10.1371/journal.pone.0287980.

Minimizing patients total clinical condition deterioration in operating theatre departments.

Mashkani O, Ernst A, Thiruvady D, Gu H Ann Oper Res. 2022; :1-37.

PMID: 36415820 PMC: 9672660. DOI: 10.1007/s10479-022-05046-y.

An Overview of Hospital Capacity Planning and Optimisation.

Humphreys P, Spratt B, Tariverdi M, Burdett R, Cook D, Yarlagadda P Healthcare (Basel). 2022; 10(5).

PMID: 35627963 PMC: 9140785. DOI: 10.3390/healthcare10050826.

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