Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Datu apvalka analīze (DEA) slimnīcu efektivitātes novērtēšanai× | Personāla attiecību analīze× | |
|---|---|---|
| Nozare | Veselības aprūpes vadība | Veselības aprūpes vadība |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1978 | 1990 |
| Autors≠ | Abraham Charnes, William Cooper, Edward Rhodes | Healthcare operations and nursing research |
| Tips≠ | Non-parametric frontier estimation technique | Quantitative workforce planning methodology |
| Pirmavots≠ | 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 ↗ | 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 ↗ |
| Citi nosaukumi | Hospital DEA, Healthcare DEA | Staffing Model, Nursing Ratio Analysis |
| Saistītās | 5 | 5 |
| Kopsavilkums≠ | 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. | 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. |
| ScholarGateDatu kopa ↗ |
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