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1.
Am J Emerg Med ; 2018 Mar 20.
Artigo em Inglês | MEDLINE | ID: mdl-29602665

RESUMO

The Publisher regrets that this article is an accidental duplication of an article that has already been published, http://dx.doi.org/10.1016/j.ajem.2018.03.017. The duplicate article has therefore been withdrawn. The full Elsevier Policy on Article Withdrawal can be found at https://www.elsevier.com/about/our-business/policies/article-withdrawal.

2.
Am J Emerg Med ; 36(11): 2035-2037, 2018 11.
Artigo em Inglês | MEDLINE | ID: mdl-29559357

RESUMO

IMPORTANCE: Emergency Physicians often rely on Lactic Acid (LA) values to make important clinical decisions. Accuracy of LA values improve when blood gas analysis is performed in the emergency department (ED) as opposed to a satellite laboratory (SL). OBJECTIVE: To investigate an association between blood gas laboratory location and accuracy of ED lactic acid samples. METHODS: The study team evaluated lactic acid values from venous and arterial blood gas samples drawn between June 1, 2015 and September 30, 2016. The study was exempt from institutional review board approval. Samples were separated into two groups: those which were drawn prior to and after relocation of the blood gas laboratory to the ED. The data, including patient demographic characteristics, acute illness severity indices, and blood gas results were compared within and between each group using t-test for continuous variables and chi-square test for categorical variables. The primary outcome was the mean lactate value measured in the SL group in 2015 compared to the ED group in 2016. Potassium and creatinine values were measured between the two groups as secondary outcomes. RESULTS: Of the 21,595 consecutive samples drawn, 10,363 samples were from the SL group and 11,232 from the ED group. The SL group included 5458 (52.7%) women; mean (SD) age was 61.8 (21.0). The ED group contained 5860 (52.2%) women; mean (SD) age was 61.7 (20.5). Mean Emergency Severity Index (ESI) were the same in each group at 2.31 and rates of Systemic Inflammatory Response Syndrome (SIRS) were also equivalent in each group at 22.2%. Significant differences were found between LA values in the SL group (mean 2.21mmol/L) and in the ED group (mean 1.99mmol/L) with a p value of <0.0001. There was a small statistical significance between the difference in potassium values in the SL group (mean 3.98meq/L) compared to the ED Group (mean 3.96meq/L) with a p value of 0.022. No significant difference was found between the creatinine values. CONCLUSIONS AND RELEVANCE: These results suggest that mean lactate values decreased when measured in an ED blood gas laboratory and may provide more accurate LA results than blood gas samples analyzed at an SL blood gas laboratory within the same institution. Hospitals may consider moving blood gas laboratories to the ED to improve accuracy of one of the most important early blood markers used in the definition of sepsis and in the identification of the critically ill.


Assuntos
Laboratórios Hospitalares , Ácido Láctico/metabolismo , Sepse/sangue , Biomarcadores/metabolismo , Gasometria , Creatinina/metabolismo , Serviço Hospitalar de Emergência , Feminino , Arquitetura Hospitalar , Humanos , Masculino , Pessoa de Meia-Idade , Potássio/metabolismo , Estudos Retrospectivos , Índice de Gravidade de Doença , Manejo de Espécimes
4.
Jt Comm J Qual Patient Saf ; 36(4): 179-85, 2010 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-20402375

RESUMO

BACKGROUND: Fueled by a decade-long increase in emergency department (ED) visits with a concomitant decrease in hospital bed capacity and the number of hospital EDs, ED crowding has reached crisis proportions. Robust information systems and process redesign are two strategies to improve the safety and quality of emergency care. At the ED at the Mount Sinai Medical Center, an urban, tertiary care academic medical center in New York City, elements of departmental work flow were redesigned to streamline patient throughput before implementation of a fully integrated emergency department information system (EDIS) with patient tracking, computerized charting and order entry, and direct access to patient historical data from the hospital data repository. Pre- and postintervention data were analyzed to examine the impact on (ED) efficiency. RESULTS: The length of stay for all patients (arrival to time patient left ED) decreased by 1.94 hours, from 6.69 (n = 508) pre-intervention to 4.75 (n = 691) postintervention (p < .001); doctor-to-disposition time (first doctor-patient contact to disposition decision) decreased by 1.90 hours, from 3.64 (n = 508) to 1.74 (n = 691; p < .001); door-to-doctor time (triage to first doctor-patient contact) decreased by 0.54 hours, from 1.22 (n = 508) to 0.68 (n = 691; p < .001). X-ray turnaround time (TAT) decreased by 0.18 hours from 0.92 (n = 60) to 0.74 (n = 108; p = .179); computerized tomography (CT) scan TAT decreased by 1.56 hours, from 3.89 (n = 40) to 2.33 (n = 29; p < .001), lab TAT decreased by 0.59 hours, from 2.03 (n = 121) to 1.44 (n = 271; p = .006). CONCLUSIONS: Increasing the clinical information available at the bedside and improving departmental work flow through EDIS implementation and process redesign led to decreased patient throughput times and improved ED efficiency.


Assuntos
Serviço Hospitalar de Emergência/organização & administração , Sistemas de Informação , Avaliação de Processos e Resultados em Cuidados de Saúde , Fluxo de Trabalho , Humanos , Tempo de Internação , Cidade de Nova Iorque
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