| Title |
Case mix planning in hospitals: a review and future agenda
|
|---|---|
| Published in |
Health Care Management Science, September 2015
|
| DOI | 10.1007/s10729-015-9342-2 |
| Pubmed ID | |
| Authors |
Sebastian Hof, Andreas Fügener, Jan Schoenfelder, Jens O. Brunner |
| 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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 97 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 22% |
| Student > Master | 13 | 13% |
| Researcher | 8 | 8% |
| Student > Doctoral Student | 5 | 5% |
| Professor > Associate Professor | 4 | 4% |
| Other | 15 | 15% |
| Unknown | 31 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 18 | 19% |
| Engineering | 16 | 16% |
| Medicine and Dentistry | 7 | 7% |
| Computer Science | 5 | 5% |
| Decision Sciences | 4 | 4% |
| Other | 16 | 16% |
| Unknown | 31 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 September 2015.
All research outputs
#18,426,826
of 22,829,083 outputs
Outputs from Health Care Management Science
#206
of 285 outputs
Outputs of similar age
#196,556
of 273,246 outputs
Outputs of similar age from Health Care Management Science
#4
of 11 outputs
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