FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2904004819> ?p ?o ?g. }

• W2904004819 abstract "Background: The capacity of telemetry monitoring in hospitalized patients is constrained due to limited equipment and personnel. Electing for telemetry monitoring may pose a bottleneck for patients admitted through the Emergency Department (ED). This can result in increased length of stays in the ED, a parameter that is correlated with decreased quality of care due to crowding and delay in treatment. Queuing theory is the mathematical study of waiting times. We opted to use queuing theory to analyze system performance before and after an expansion of telemetry capacity. Objective: To retrospectively analyze the impact of telemetry capacity on ED wait times using enterprise data warehouse (EDW) data and queuing theory. Methods: Unused telemetry boxes were used as a proxy metric for available cardiac telemetry monitoring. The number of telemetry boxes in use at a large urban academic medical center was determined by daily manual count. The number of telemetry admissions, average length of telemetry use, and length of stay in the ED were obtained from EDW data. Using queuing theory, system parameters including expected wait time and percent of patients who will wait were calculated for scenarios to simulate before and after the expansion of telemetry capacity. These modeled system behaviors were compared to observed data from before and after the intervention to understand the utility of the mathematical model. Results: Over the study period of 365 days, a total of 13,515 inpatient non-critical care hospital encounters had orders for telemetry monitoring. Prior to the increase in telemetry capacity, there were 144 telemetry boxes, which were utilized at 96.7% of capacity. Using these parameters, the model predicts a 5.8-hour average wait time and a 42.1% chance that a patient will have to wait for a telemetry box. Increasing telemetry capacity modestly by 10 boxes (144 to154 boxes) results in a dramatic system improvement, reducing utilization to 88.6%, average wait time for a telemetry bed to 34 minutes, and percent of patients waiting for a telemetry slot to 9.4%. These predicted results compared well to the observed data. After the intervention, there was a decrease in utilization to 86.9%, and a statistically significant reduction in time waiting in the ED for an inpatient bed by 1.24 (p<0.05) hours per telemetry patient, representing a total savings of ED boarding time of 11.2 bed-days per week. Conclusions: Queuing theory allows for modeling of healthcare system behavior to predict needed clinical capacity for achieving system goals. Our simplified model demonstrates that a modest increase in capacity can drive significant system improvements. Utilizing queuing theory and understanding the behavior of the healthcare system can improve the predicted impact of interventions on cost-effectiveness and quality of care." @default.
• W2904004819 created "2018-12-22" @default.
• W2904004819 creator A5016268965 @default.
• W2904004819 creator A5030941135 @default.
• W2904004819 creator A5032496774 @default.
• W2904004819 creator A5034846864 @default.
• W2904004819 creator A5046301273 @default.
• W2904004819 date "2018-04-01" @default.
• W2904004819 modified "2023-09-26" @default.
• W2904004819 title "Abstract 5: Optimizing Emergency Room Throughput for Cardiac Telemetry Patients: A Queuing Theory Approach" @default.
• W2904004819 doi "https://doi.org/10.1161/circoutcomes.11.suppl_1.5" @default.
• W2904004819 hasPublicationYear "2018" @default.
• W2904004819 type Work @default.
• W2904004819 sameAs 2904004819 @default.
• W2904004819 citedByCount "1" @default.
• W2904004819 countsByYear W29040048192020 @default.
• W2904004819 crossrefType "journal-article" @default.
• W2904004819 hasAuthorship W2904004819A5016268965 @default.
• W2904004819 hasAuthorship W2904004819A5030941135 @default.
• W2904004819 hasAuthorship W2904004819A5032496774 @default.
• W2904004819 hasAuthorship W2904004819A5034846864 @default.
• W2904004819 hasAuthorship W2904004819A5046301273 @default.
• W2904004819 hasConcept C118552586 @default.
• W2904004819 hasConcept C127413603 @default.
• W2904004819 hasConcept C149333683 @default.
• W2904004819 hasConcept C149635348 @default.
• W2904004819 hasConcept C15744967 @default.
• W2904004819 hasConcept C169760540 @default.
• W2904004819 hasConcept C183121708 @default.
• W2904004819 hasConcept C22684755 @default.
• W2904004819 hasConcept C2780513914 @default.
• W2904004819 hasConcept C2780724011 @default.
• W2904004819 hasConcept C31258907 @default.
• W2904004819 hasConcept C41008148 @default.
• W2904004819 hasConcept C42475967 @default.
• W2904004819 hasConcept C545542383 @default.
• W2904004819 hasConcept C71924100 @default.
• W2904004819 hasConcept C76155785 @default.
• W2904004819 hasConceptScore W2904004819C118552586 @default.
• W2904004819 hasConceptScore W2904004819C127413603 @default.
• W2904004819 hasConceptScore W2904004819C149333683 @default.
• W2904004819 hasConceptScore W2904004819C149635348 @default.
• W2904004819 hasConceptScore W2904004819C15744967 @default.
• W2904004819 hasConceptScore W2904004819C169760540 @default.
• W2904004819 hasConceptScore W2904004819C183121708 @default.
• W2904004819 hasConceptScore W2904004819C22684755 @default.
• W2904004819 hasConceptScore W2904004819C2780513914 @default.
• W2904004819 hasConceptScore W2904004819C2780724011 @default.
• W2904004819 hasConceptScore W2904004819C31258907 @default.
• W2904004819 hasConceptScore W2904004819C41008148 @default.
• W2904004819 hasConceptScore W2904004819C42475967 @default.
• W2904004819 hasConceptScore W2904004819C545542383 @default.
• W2904004819 hasConceptScore W2904004819C71924100 @default.
• W2904004819 hasConceptScore W2904004819C76155785 @default.
• W2904004819 hasIssue "suppl_1" @default.
• W2904004819 hasLocation W29040048191 @default.
• W2904004819 hasOpenAccess W2904004819 @default.
• W2904004819 hasPrimaryLocation W29040048191 @default.
• W2904004819 hasRelatedWork W1583374146 @default.
• W2904004819 hasRelatedWork W2014204611 @default.
• W2904004819 hasRelatedWork W2072756471 @default.
• W2904004819 hasRelatedWork W2107629864 @default.
• W2904004819 hasRelatedWork W2387753287 @default.
• W2904004819 hasRelatedWork W2389854868 @default.
• W2904004819 hasRelatedWork W3035447311 @default.
• W2904004819 hasRelatedWork W3206655804 @default.
• W2904004819 hasRelatedWork W3209529173 @default.
• W2904004819 hasRelatedWork W4007095 @default.
• W2904004819 hasVolume "11" @default.
• W2904004819 isParatext "false" @default.
• W2904004819 isRetracted "false" @default.
• W2904004819 magId "2904004819" @default.
• W2904004819 workType "article" @default.