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Evaluation of Biomedical Laboratory Performance Optimisation Using the DEA Method

Lamovšek, Nejc

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25. Juni 2020

Evaluation of Biomedical Laboratory Performance Optimisation Using the DEA Method's Cover Image

Slovenian Journal of Public Health

Band 59 (2020): Heft 3 (September 2020)

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Artikel-Kategorie: Original scientific article

Online veröffentlicht: 25. Juni 2020

Seitenbereich: 172 - 179

Eingereicht: 13. Nov. 2019

Akzeptiert: 01. Juni 2020

DOI: https://doi.org/10.2478/sjph-2020-0022

Schlüsselwörter
optimisation, biomedical laboratory, DEA method, efficiency, consolidation

© 2020 Nejc Lamovšek et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Source: own.Work process in the laboratory.

Efficiency results_

	Model 1				Model 2				Model 3
DMU	CRS (%)	VRS (%)	RTS	SE (%)	CRS (%)	VRS (%)	RTS	SE (%)	CRS (%)	VRS (%)	RTS	SE (%)
B1	34.93	100	1	34.93	39.86	100	1	39.86	37.26	100	1	37.26
B2	38.78	68.93	1	56.26	45.25	71.79	1	63.03	40.36	66.74	1	60.47
B3	100	100	-	100	100	100	-	100	100	100	-	100
B4	100	100	-	100	100	100	-	100	100	100	-	100
B5	69.81	88.59	1	78.80	70.54	80.64	1	87.48	64.05	73.40	1	87.26
B6	100	100	-	100	100	100	-	100	100	100	-	100
B7	100	100	-	100	78.08	86.62	1	90.14	55.75	60.32	1	92.42
B8	75.14	86.14	1	87.23	80.15	90.16	1	88.90	71.74	74.01	1	96.93
B9	64.53	77.56	1	83.20	66.66	79.06	1	84.32	63.83	75.18	1	84.90
B10	88.82	97.37	1	91.22	99.94	100	1	99.94	89.61	100	1	89.61
B11	100	100	-	100	81.03	96.73	1	83.77	97.54	100	1	97.54
Z1	100	100	-	100	100	100	-	100	87.36	100	−1	87.36
Z2	76.90	77.56	−1	99.15	86.97	87.34	1	99.58	76.9	77.56	−1	99.15
Z3	66.40	96.40	1	68.88	75.73	100	1	75.73	66.4	100	1	66.40
T1	100	100	-	100	100	100	-	100	100	100	-	100
T2	72.28	100	1	72.28	92.33	100	1	92.33	77.62	100	1	77.62
T3	100	100	-	100	100	100	-	100	100	100	-	100
T4	80.87	87.49	1	92.43	77.59	79.57	1	97.51	46.14	52.87	1	87.27
T5	60.04	72.64	1	82.65	60.04	72.64	1	82.65	58.44	67.17	1	87
T6	100	100	-	100	100	100	-	100	100	100	-	100
x(%)	81.43	92.63		87.35	82.71	92.23		89.26	76.65	87.36		87.56
SD	21.01	10.60		17.79	18.87	10.29		15.42	21.78	16.68		16.38

Statistical analysis_

		Min.	Max.	Average	SD
INPUTS	Number of working hours	7,458	157,746	42,604.85	35,947.78
	Number of biomedical analyzers	6	68	21	16
	Cost of laboratory equipment	49,616	2,437,057	601,112.50	590,995.57
	Labour costs	97,332.54	2,290,144	657,896.07	591,933.26
	Cost of laboratory reagents and material	134,683	4,520,071	942,724.43	945,991.67

OUTPUTS	Number of basic tests	49,985	5,616,624	941,786.90	1,277,335.30
	Number of special tests	2,651	784,245	121,054.15	170,071.16
	Number of reference tests	24	111,940	18,066.60	26,016.38

Efficiency of the virtually merged laboratory_

	DMU	CRS (%)	VRS (%)	RTS	SE (%)
MODEL 1	Pseudo 1	93.33	100	−1	93.33
MODEL 2	Pseudo 2	95.89	100	−1	95.89
MODEL 3	Pseudo 3	89.60	100	−1	89.60
$\bar{x}$ {\rm{\bar x}}		92.94	100		92.94
SD		3.16	0		3.16

Sprache:: Englisch

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Fachgebiete der Zeitschrift:: Medizin, Klinische Medizin, Hygiene- und Umweltmedizin

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