Name
Title | ||
|---|---|---|
Development of a cost-optimization model to reduce bottlenecks: A health service case study. |
Abstract | ||
|---|---|---|
With the increasing use of emergency departments, many public hospitals experience bottlenecks that hinder patient flow within the health system. Mitigating bottlenecks can enhance workflow efficiency and reduce patient wait-time. Yet given the complexity of health services, current techniques have a limited capacity to address this issue. This article introduces an innovative generic cost-optimization model based on genetic algorithm to alleviate bottlenecks without the need for complex mathematical analysis. A case study is presented to validate its feasibility, demonstrating an evidence-based, pragmatic way to alleviate bottlenecks that practitioners can readily implement. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1111/exsy.12294 | EXPERT SYSTEMS |
Keywords | Field | DocType |
cost-optimization,genetic algorithm,health service management | Computer science,Operations research,Artificial intelligence,Health services,Genetic algorithm,Machine learning | Journal |
Volume | Issue | ISSN |
35.0 | 6.0 | 0266-4720 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Henry C. W. Lau | 1 | 301 | 33.27 |
| Ann Dadich | 2 | 8 | 1.94 |
| Dilupa Nakandala | 3 | 37 | 8.04 |
| Huntley Evans | 4 | 0 | 0.34 |
| Li Zhao | 5 | 6 | 1.51 |