Evaluation of Biomedical Laboratory Performance Optimisation Using the DEA Method Cover

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Evaluation of Biomedical Laboratory Performance Optimisation Using the DEA Method

Slovenian Journal of Public Health

Volume 59 (2020): Issue 3 (September 2020)

By: Nejc Lamovšek and Maja Klun

Open Access

|Jun 2020

Figures & Tables

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
x¯{\rm{\bar x}}		92.94	100		92.94
SD		3.16	0		3.16

DOI: https://doi.org/10.2478/sjph-2020-0022 | Journal eISSN: 1854-2476 | Journal ISSN: 0351-0026

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Language: English

Page range: 172 - 179

Submitted on: Nov 13, 2019

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Accepted on: Jun 1, 2020

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Published on: Jun 25, 2020

Published by: National Institute of Public Health, Slovenia

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

biomedical laboratory,

Related subjects:

Clinical medicine,

Hygiene and environmental medicine

© 2020 Nejc Lamovšek, Maja Klun, published by National Institute of Public Health, Slovenia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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