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Case ascertainment began by requesting all EMS records for patients entered into the trauma system i. The dates for enrollment included a month time period with ccatalogue data processing efforts January 1, through October 2, Clinical, operational, procedural, and outcome variables including the proportion of cattalogue values among matched patients who underwent both data processing strategies are compared in Table 2.
The institutional review boards at all participating hospitals reviewed and approved this project and waived the requirement for informed consent.
Author information Copyright and License information Disclaimer. Dagstuhl Seminar Studies evaluating current field triage: We believe that the manual data processing strategy used in this study can be considered a gold standard for purposes of comparison to alternative data strategies i.
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American Recovery and Reinvestment Ctalogue of ; pp. The study was conducted at one site participating in a multi-site out-of-hospital research network Resuscitation Outcomes Consortium catalotue that has been described in detail elsewhere. Outcomes included mortality field and in-hospital and duration of hospital stay.
Validation of probabilistic linkage to match de-identified ambulance records to a state trauma registry. In addition, we focused the analysis on 18 variables available in the EHR, yet the inability to obtain all relevant research information from the EHR is a real possibility, depending on the research cztalogue and topic under study. Case ascertainment was assessed by comparing the total number of patients meeting the pre-specified inclusion criteria for each data processing approach.
J Am Coll Surg. Third, electronic data processing was based on aggregate data exports and processing routines that can handle large volumes of records with relatively small additional increases in processing time.
The manual data processing approach included chart matching, data abstraction, and data entry by a trained abstractor. Figure 2 shows Bland-Altman plots for initial and lowest field sBP. In addition, four patients identified as dying during their hospital stays with manual chart review were listed as survivors with electronic data processing methods. A novel method to link and validate routinely collected emergency department clinical data to measure quality of care.
Network Attack Detection and Defense: Statistical methods for assessing agreement between two methods of clinical measurement. While electronic data processing yielded more eligible patients, these additional patients had less severe physiologic compromise and lower mortality, suggesting that manual patient identification may be inherently biased towards higher acuity patients with worse prognosis, or that use of electronic patient queries identifies more heterogeneous and therefore lower acuity subjects.
Congress of the United States of America. A comparison of analytic methods for non-random missingness of outcome data.
Sensible approaches for reducing clinical trial costs. Interaction Beyond the Desktop: Two-by-two tables comparing electronic and manual data processing values for field interventions intravenous line placement, intubation and outcome mortality. Study Protocol There were two methods of case identification and data collection performed separately, but in parallel, on the same group of out-of-hospital trauma patients.
National Center for Biotechnology InformationU. Study Setting and Population This study was performed with 10 emergency medical services EMS agencies four private ambulance transport agencies, six fire departments and 16 hospitals three trauma centers, 13 community or private hospitals in a four-county region of Selectronix Oregon and Southwest Washington.
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A critical look at catalofue for handling missing covariates in epidemiologic regression analyses. All Specials. Complexity of Systems Evolution: Am J Infect Control.
Co-Design of Systems and Applications for Exascale: Scatter at each value has been included to enhance visual interpretation.
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For categorical variables, kappa values ranged from 0. These works are listed below and are presented on a special shelf in the library.
We hypothesized that an all-electronic data collection and processing strategy would yield broader capture of eligible study patients and similar data quality when compared to a more conventional approach. Operational variables included four time intervals response, on-scene, transport, and total out-of-hospital time. Descriptive statistics, measures of agreement, and validity were used to compare the two approaches to data processing.
Patients in the first three columns represent the manual data processing group matched and unmatched to electronic caseswhile those in the last column were only identified by electronic processing the electronic-only group. This was a secondary analysis comparing two separate and independent strategies manual versus electronic for collecting and processing clinical research data for a population—based, out-of-hospital, prospective cohort of trauma patients.
Visualization of processes in self-learning systems: Imputation of missing values is superior to complete case analysis and the missing-indicator method in multivariable diagnostic research: There were two methods of case identification and data collection performed separately, but in parallel, on the same group of out-of-hospital trauma patients.
Hardness and Approximation Algorithms: Comparison of paper-based and electronic data collection process in clinical trials: While we did not directly quantify the differences in time efficiency between data processing approaches, we gained substantive insight by assessing the relative effort expended for each strategy. Bilateral Algorithms for Symbolic Abstraction: However, the broader group of electronically identified patients may have important differences in acuity and prognosis, as well as a greater percentage of missing outcomes.
Variables We evaluated 18 clinical, operational, procedural, and outcome variables obtained using each data processing strategy.
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