Rodriguez-Maresca, ManuelSorlozano, AntonioGrau, MagnoliaRodriguez-Castaño, RocioRuiz-Valverde, AndresGutierrez-Fernandez, Jose2016-09-062016-09-062014-08-17Rodriguez-Maresca M, Sorlozano A, Grau M, Rodriguez-Castaño R, Ruiz-Valverde A, Gutierrez-Fernandez J. Implementation of a computerized decision support system to improve the appropriateness of antibiotic therapy using local microbiologic data. Biomed Res Int; 2014:395434http://hdl.handle.net/10668/2390Journal Article; Research Support, Non-U.S. Gov't;A prospective quasi-experimental study was undertaken in 218 patients with suspicion of nosocomial infection hospitalized in a polyvalent ICU where a new electronic device (GERB) has been designed for antibiotic prescriptions. Two GERB-based applications were developed to provide local resistance maps (LRMs) and preliminary microbiological reports with therapeutic recommendation (PMRTRs). Both applications used the data in the Laboratory Information System of the Microbiology Department to report on the optimal empiric therapeutic option, based on the most likely susceptibility profile of the microorganisms potentially responsible for infection in patients and taking into account the local epidemiology of the hospital department/unit. LRMs were used for antibiotic prescription in 20.2% of the patients and PMRTRs in 78.2%, and active antibiotics against the finally identified bacteria were prescribed in 80.0% of the former group and 82.4% of the latter. When neither LMRs nor PMRTRs were considered for empiric treatment prescription, only around 40% of the antibiotics prescribed were active. Hence, the percentage appropriateness of the empiric antibiotic treatments was significantly higher when LRM or PMRTR guidelines were followed rather than other criteria. LRMs and PMRTRs applications are dynamic, highly accessible, and readily interpreted instruments that contribute to the appropriateness of empiric antibiotic treatments.enMedicamentos por prescripciónAntibacterianosBacteriaInfección hospitalariaSistemas de apoyo a decisiones clínicasFarmacorresistencia bacterianaImplantación de planes de saludDirectrices para la planificación en saludHumanosDuración de estancia hospitalariaMedical Subject Headings::Organisms::BacteriaMedical Subject Headings::Diseases::Bacterial Infections and Mycoses::Infection::Cross InfectionMedical Subject Headings::Information Science::Information Science::Medical Informatics::Medical Informatics Applications::Information Systems::Decision Support Systems, ClinicalMedical Subject Headings::Phenomena and Processes::Microbiological Phenomena::Bacterial Physiological Phenomena::Drug Resistance, BacterialMedical Subject Headings::Disciplines and Occupations::Natural Science Disciplines::Physics::Electronics::Electronics, MedicalMedical Subject Headings::Check Tags::FemaleMedical Subject Headings::Health Care::Health Care Economics and Organizations::Health Planning::Health Plan ImplementationMedical Subject Headings::Health Care::Health Care Economics and Organizations::Health Planning::Health Planning GuidelinesMedical Subject Headings::Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::HumansMedical Subject Headings::Health Care::Health Care Facilities, Manpower, and Services::Health Services::Patient Care::Hospitalization::Length of StayMedical Subject Headings::Check Tags::MaleMedical Subject Headings::Chemicals and Drugs::Pharmaceutical Preparations::Prescription DrugsMedical Subject Headings::Chemicals and Drugs::Chemical Actions and Uses::Pharmacologic Actions::Therapeutic Uses::Anti-Infective Agents::Anti-Bacterial Agentsresearch article25197643open access10.1155/2014/3954342314-6141PMC4150543