Implementation of a Computerized Decision Support System to Improve the Appropriateness of Antibiotic Therapy Using Local Microbiologic Data

Table 1

Distribution by sample type of the 262 microorganisms isolated in the 137 patients.

Microorganism	Respiratory samples	Urine	Blood cultures	Total
Acinetobacter baumannii	2	1	3	6
Bacteroides fragilis			3	3
Candida albicans	4	5		9
Candida parapsilosis		1	1	2
Candida tropicalis			2	2
Citrobacter koseri	5		1	6
Enterobacter aerogenes	4		1	5
Enterobacter cloacae	10			10
Enterobacter sakazakii	1			1
Enterococcus faecalis	2		7	9
Enterococcus faecium	1		1	2
Escherichia coli	22	7	2	31
Haemophilus influenza	8			8
Klebsiella oxytoca	4			4
Klebsiella pneumoniae	18	3		21
Morganella morganii	1			1
Proteus mirabilis	7	3	1	11
Pseudomonas aeruginosa	29	5	5	39
Pseudomonas stutzeri	1			1
Serratia liquefaciens		1		1
Serratia marcescens	7		2	9
Serratia plymuthica	1			1
Staphylococcus aureus	32		6	38
Staphylococcus epidermidis			10	10
Staphylococcus hominis			4	4
Stenotrophomonas maltophilia	12			12
Streptococcus grupo viridans			2	2
Streptococcus pneumoniae	14			14