Traub, Stephen J.

Introduction: Emergency departments (ED) are rapidly replacing conventional troponin assays with high-sensitivity troponin tests. We sought to evaluate emergency physician utilization of troponin tests before and after high-sensitivity troponin introduction in our ED. Methods: We retrospectively examined 9,477 ED encounters, identifying the percentage in which physicians ordered a serum troponin both before and after our institution adopted a high-sensitivity troponin test. Results: After introduction of high-sensitivity troponin testing, the percentage of ED encountersin which physicians ordered troponin studies decreased (28.3% before vs 22% after; P <.001),with the drop most pronounced in admitted patients (decrease of 10.9% [95% confidenceinterval [CI]: 7.3%- 14.5%] in admitted patients vs decrease of 3.6% [95% CI: 1.7%- 5.4%]in discharged patients; P<.001) Conclusion: Introduction of high-sensitivity troponin testing was associated with a decrease in troponin ordering. While the reasons for this are unclear, it is possible that physicians became more selective in their ordering behavior because of the lower specificity of high-sensitivity troponin.

Abstract Objectives We characterize physician workflow in two distinctive emergency departments (ED). Physician practices mediated by electronic health records (EHR) are explored within the context of organizational complexity for the delivery of care. Methods Two urban clinical sites, including an academic teaching ED, were selected. Fourteen physicians were recruited. Overall, 62 hours of direct clinical observations were conducted characterizing clinical activities (EHR use, team communication, and patient care). Data were analyzed using qualitative open-coding techniques and descriptive statistics. Timeline belts were used to represent temporal events. Results At site 1, physicians, engaged in more team communication, followed by direct patient care. Although physicians spent 61% of their clinical time at workstations, only 25% was spent on the EHR, primarily for clinical documentation and review. Site 2 physicians engaged primarily in direct patient care spending 52% of their time at a workstation, and 31% dedicated to EHRs, focused on chart review. At site 1, physicians showed nonlinear complex workflow patterns with a greater frequency of multitasking and interruptions, resulting in workflow fragmentation. In comparison, at site 2, a less complex environment with a unique patient assignment system, resulting in a more linear workflow pattern. Conclusion The nature of the clinical practice and EHR-mediated workflow reflects the ED work practices. Physicians in more complex organizations may be less efficient because of the fragmented workflow. However, these effects can be mitigated by effort distribution through team communication, which affords inherent safety checks.

Objectives: Patients admitted to a medical-surgical unit infrequently require early transfer to higher level care, although how their inpatient length of stay compares to untransferred patients, or those directly admitted to intermediate care, is unknown. We sought to compare the inpatient length of stay of these groups. Design: Single-site retrospective analysis. Setting: An academic hospital specializing in complex care. Patients: We evaluated 23,694 patients admitted to the Hospital Internal Medicine service over a 4-year period (January 1, 2013, to December 31, 2016). Interventions: None. Measurements and Main Results: Using 6- and 24-hour definitions of early transfer, we categorized patients as admitted to medical-surgical unit without early transfer (medical-surgical unit), transferred (TX) early to higher level care, or initially admitted to an intermediate care unit. We report patient characteristics and inpatient length of stay adjusted for patient demographics (age and sex) and initial acuity (measured by Emergency Severity Index). There were significant increases in both unadjusted inpatient length of stay (6 hr: medical-surgical unit = 73.4 hr, TX = 137.9 hr, intermediate care unit = 101.1 hr; 24 hr: medical-surgical unit = 72.4 hr, TX = 141.9 hr, intermediate care unit = 98.2 hr; p < 0.01 for all groups) and adjusted inpatient length of stay (6-hr definition: medical-surgical unit = 50.9 hr [95% CI, 50.3–51.6 hr], TX = 100.4 hr [90.4–112.0 hr], intermediate care unit = 72.3 hr [70.6–74.0 hr]; 24-hr definition: medical-surgical unit = 50.3 hr [49.7–50.9 hr], TX = 108.3 hr [101.5–116.0 hr], intermediate care unit = 70.7 hr [69.0–72.3 hr]; p < 0.0001 for comparison of TX to medical-surgical unit and intermediate care unit in both groups). The increases in inpatient length of stay for the TX groups were not explained by differences in demographics or acuity. Conclusions: In a single facility study, patients admitted to a medical/surgical unit who require early transfer to intermediate care unit have a significant and unexplained increase in inpatient length of stay. This unexplained increased inpatient length of stay suggests that triage to the appropriate inpatient unit significantly affects inpatient length of stay.

Abstract Background Collecting a predefined set of blood tubes (the “rainbow draw”) is a common but controversial practice in many emergency departments (EDs), with limited data to support it. We determined the actual utilization of rainbow draw tubes at a single facility and evaluated the perceptions of ED staff regarding the utility of rainbow draws. Methods We analyzed 2 weeks of ED visits (1326 visits by 1240 unique patients) to determine blood tube utilization for initial and add-on testing, as well as the incidence of additional venipunctures. We also surveyed ED staff regarding aspects of ED phlebotomy and test ordering. Utilization data analysis was structured to satisfy specific concerns addressed in the ED staff survey. Results Observed tube utilization data showed that fluoride/oxalate, citrate, and serum separator tubes were frequently discarded unused, and that the actual utility of the rainbow draw for add-on testing and avoiding additional venipunctures was low. ED staff perceived that the rainbow draw was highly valuable, both to expedite add-on testing and to avoid additional venipunctures. Contrasting the objective (utilization data) and subjective (survey results) to drive changes in the standard ED blood collection reduced the estimated waste blood by 175 L/year. Conclusions Comparison of perceptions and objective utilization data drove process changes that were mutually agreeable to ED and laboratory staff. Although specifics of ED and laboratory work flows vary between institutions, the principles and strategy of this study are widely applicable.

Objective Over the last decade, electronic health records (EHRs) have shaped clinical practice. In this article, we investigated the perceived effects of EHR use on clinical workflow and meaningful use (MU) performance metrics. Materials and Methods Semistructured interviews were conducted with 20 (n = 20) physicians at two urban emergency departments. Interview questions focused on time spent on EHR use, changes in clinical practices with EHR use, and the effect of MU performance metrics on clinical workflow. Qualitative coding using grounded theory and descriptive analyses were performed to provide descriptive insights. Results Physicians reported that EHRs improved their clinical workflow, especially on MU-related activities including door-to-doctor time and admit decision time. EHR use also affected physicians work efficiency, quality of care provided, and overall patient safety. Conclusion Physicians' perception of EHRs is likely to influence their practices. With negative perceptions of EHR usability problems, positive aspects of EHR use, including the influence on MU performance metrics, may be overridden.

Background: Telemedical physician triage (TPT) is a potential application of telemedicine in the emergency department (ED). We report the technical success, patient satisfaction, and effect on ED throughput metrics (length of stay [LOS] and time to physician evaluation [TPE]) of TPT performed on a mobile platform. Materials and Methods: Patients underwent standard nursing triage with or without TPT. Technical success is reported as raw data. Patient satisfaction is reported as raw data±standard deviation on a 5-point (low-to-high) scale. LOS and TPE are reported as mean±SD [95% CI] values. Statistical analyses of LOS and TPE are via two-sample t test. Results: One hundred six patients were registered during intervention periods, and TPT was completed in 36 (34%). One hundred ninety-six patients were registered during control periods. The technical success rate was 95%. Average patient satisfaction was 4.7 on a 5-point scale. The primary analysis (106 patients) showed no change in LOS (266±101 [244–288] min versus 258±172 [234–282] min) but a trend toward improved TPE with TPT (35±28 [29–41] min versus 42±31 [38–46] min) ( p =0.052). A secondary analysis (36 patients) showed no change in LOS (273±125 [231–316] min versus 258±172 [234–282] min) but improved TPE with TPT (16±15 [11–21] min versus 42±31 [38–46] min) ( p <0.0001). Conclusions: TPT in the ED on a mobile platform was technically successful, well accepted by patients, and associated with a decrease in TPE but not LOS.