Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Personāla attiecību analīze× | Datu apvalka analīze (DEA) slimnīcu efektivitātes novērtēšanai× | |
|---|---|---|
| Nozare | Veselības aprūpes vadība | Veselības aprūpes vadība |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1990 | 1978 |
| Autors≠ | Healthcare operations and nursing research | Abraham Charnes, William Cooper, Edward Rhodes |
| Tips≠ | Quantitative workforce planning methodology | Non-parametric frontier estimation technique |
| Pirmavots≠ | Aiken, L. H., Clarke, S. P., Sloane, D. M., Sochalski, J., & Silber, J. H. (2002). Hospital nurse staffing and patient mortality, nurse burnout, and job dissatisfaction. JAMA, 288(16), 1987–1993. DOI ↗ | Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. DOI ↗ |
| Citi nosaukumi | Staffing Model, Nursing Ratio Analysis | Hospital DEA, Healthcare DEA |
| Saistītās | 5 | 5 |
| Kopsavilkums≠ | Staffing Ratio Analysis is a systematic method for determining appropriate healthcare worker levels (nurses, physicians, technicians) based on patient volume, acuity, and task requirements. Research shows that staffing levels directly impact patient safety, quality, and staff burnout; systematic analysis supports evidence-based workforce planning. | Data Envelopment Analysis (DEA) is a linear programming technique for measuring the relative efficiency of multiple hospitals using multiple inputs and outputs. Introduced by Charnes, Cooper, and Rhodes in 1978, DEA has become the standard method for benchmarking hospital performance in healthcare systems worldwide. |
| ScholarGateDatu kopa ↗ |
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