Clinical impact of extending after-hours radiology coverage for emergency department computed tomography imaging

Patient recalls associated with resident-to-attending radiology report discrepancies: predictive factors for risky discrepancies

BACKGROUND

This study aimed to identify predictive factors for risky discrepancies in the emergency department (ED) by analyzing patient recalls associated with resident-to-attending radiology report discrepancies (RRDs).

RESULTS

This retrospective study analyzed 759 RRDs in computed tomography (CT) and magnetic resonance imaging and their outcomes from 2013 to 2021. After excluding 73 patients lost to follow-up, we included 686 records in the final analysis. Risky discrepancies were defined as RRDs resulting in (1) inpatient management (hospitalization) and (2) adverse outcomes (delayed operations, 30-day in-hospital mortality, or intensive care unit admission). Predictors of risky discrepancies were assessed using multivariable logistic regression analysis. The overall RRD rate was 0.4% (759 of 171,419). Of 686 eligible patients, 21.4% (147 of 686) received inpatient management, and 6.0% (41 of 686) experienced adverse outcomes. RRDs with neurological diseases were associated with the highest ED revisit rate (79.4%, 81 of 102) but not with risky RRDs. Predictive factors of inpatient management were critical finding (odds ratio [OR], 5.60; p < 0.001), CT examination (OR, 3.93; p = 0.01), digestive diseases (OR, 2.54; p < 0.001), and late finalized report (OR, 1.65; p = 0.02). Digestive diseases (OR, 6.14; p = 0.006) were identified as the only significant predictor of adverse outcomes.

CONCLUSIONS

Risky RRDs were associated with several factors, including CT examination, digestive diseases, and late finalized reports, as well as critical image findings. This knowledge could aid in determining the priority of discrepancies for the appropriate management of RRDs.

Availability of a final abdominopelvic CT report before emergency department disposition: risk-adjusted outcomes in patients with abdominal pain

OBJECTIVE

To determine whether availability of a final radiologist report versus an experienced senior resident preliminary report prior to disposition affects major care outcomes in emergency department (ED) patient presenting with abdominal pain undergoing abdominopelvic CT.

MATERIALS AND METHODS

This single-institution, IRB-approved, HIPAA-compliant retrospective cohort study included 5019 ED patients with abdominal pain undergoing abdominopelvic CT from October 2015 to April 2019. Patients were categorized as being dispositioned after either an experienced senior resident preliminary report (i.e., overnight model) or the final attending radiologist interpretation (i.e., daytime model) of the CT was available. Multivariable regression models were built accounting for demographic data, clinical factors (vital signs, ED triage score, laboratory data), and disposition timing to analyze the impact on four important patient outcomes: inpatient admission (primary outcome), readmission (within 30 days), second operation within 30 days, and death.

RESULTS

In the setting of an available experienced senior resident preliminary report, timing of the final radiologist report (before vs. after disposition) was not a significant multivariable predictor of inpatient admission (p = 0.63), readmission within 30 days (p = 0.66), second operation within 30 days (p = 0.09), or death (p = 0.63). Unadjusted event rates for overnight vs daytime reports, respectively, were 37.2% vs. 38.0% (inpatient admission), 15.9% vs. 16.5% (30-day readmission), 0.65% vs. 0.3% (second operation within 30 days), and 0.85% vs. 1.3% (death).

CONCLUSION

Given the presence of an experienced senior resident preliminary report, availability of a final radiology report prior to ED disposition did not affect four major clinical care outcomes of patients with abdominal pain undergoing abdominopelvic CT.

Impact of 24/7/365 Attending Radiologist Coverage on the Turnaround Time of Trauma-Related Imaging Studies Being Finalized Within 48 Hours in an Emergency Radiology Department, Offering a Perspective from a Tertiary Care Hospital

OBJECTIVE

To offer an evidence-based account of the effect of 24/7/365 attending radiologist coverage on the turnaround time (TAT) of trauma-related radiographs finalized within 48 hours of exam completion, drawing data from an emergency radiology department of a tertiary care hospital in Vancouver, British Columbia.

MATERIALS AND METHODS

This was a retrospective chart review, where TATs of imaging studies for a sample of trauma patients, who had visited the emergency department of the Vancouver General Hospital between two time periods, January 1 to September 30, 2013, and January 1 to September 30, 2017, were noted.

RESULTS

In models adjusted for patient's age, sex, and seasonality, the 24/7/365 attending radiologist coverage was associated with an average of 19.1 (95% confidence interval [CI]: 18.7-19.4) hours of reduction in time from exam completion to report finalization by an attending radiologist. Approximately 11.3 (95% CI: 18.7-19.4) hours was due to reduction in time from exam completion to preliminary diagnosis of reports. When the impact of the increased number of radiology staff in 2017 was removed in the analysis, the overall TAT was reduced by 13.3 (95% CI: 13.0-13.6) hours and the time from exam completion to preliminary report was reduced by 7.8 (95% CI: 7.6-8.1) hours.

LIMITATION

Since we have used a simple random sample (SRS) for this research, this study does not describe the burden of reports that are finalized in the emergency and trauma radiology department during the given time periods.

CONCLUSION

Our pilot study demonstrates that the implementation of 24/7/365 attending radiology coverage significantly reduces TAT for finalized radiology reports of all modalities of trauma imaging studies in an emergency and trauma radiology department.

POLICY IMPLICATION

This research serves the contemporary health-care administration, policymaking information needs by providing the evidence for significantly reduced TAT of finalized radiology reports from a Canadian perspective.

Impact of 24/7/365 Attending Radiologist Coverage on the Turnaround Time in an Emergency and Trauma Radiology Department

OBJECTIVE

To study the impact of 24/7/365 attending radiologist coverage on the turnaround time (TAT) of trauma and nontrauma cases in an emergency and trauma radiology department.

PATIENTS AND METHODS

This was a retrospective chart review in which TAT of patients coming to the emergency department between 2 periods: (1) December 1, 2012, to September 30, 2013, and (2) January 1, 2017, to January 30, 2018, and whose reports were read by an attending emergency and trauma radiologist was noted.

RESULTS

The 24/7/365 radiology coverage was associated with a significant reduction in TAT of computed tomography reports, and the time reduction was comparable between trauma and nontrauma cases. In adjusted models, the extension of radiology coverage was associated with an average of 7.83 hours reduction in overall TAT (95% confidence interval [CI]: 7.44-8.22) for reports related to trauma, in which 2.73 hours were due to reduction in completion to transcription time (TC; 95% CI: 2.53-2.93), and 5.10 hours were due to reduction in transcription to finalization time (TF; 95% CI: 4.75-5.44). For reports related to nontrauma cases, 24/7/365 coverage was associated with an average of 6.07 hours reduction in overall TAT (95% CI: 3.54-8.59), 2.91 hours reduction in TC (95% CI: 1.55-4.26), and 3.16 hours reduction in TF (95% CI: 0.90-5.42).

CONCLUSION

Our pilot study demonstrates that the implementation of on-site 24/7/365 attending emergency radiology coverage at a tertiary care center was associated with a reduced TAT for trauma and nontrauma patients imaging studies. Although the magnitude and precision of estimates were slightly higher for trauma cases as compared to nontrauma cases. Trauma examinations stand to benefit the most from 24/7/365 attending level radiology coverage.

Exploratory data analysis for pre and post 24/7/365 attending radiologist coverage support in an emergency department: fundamentals of data science

OBJECTIVE

To present a detailed exploratory data analysis for critically investigating the patterns in medical doctor (MD) to disposition time, pre and post 24/7/365 attending radiologist coverage, for patients presenting to an emergency department (ED).

MATERIALS AND METHODS

The process involved presenting several modeling techniques. To share an understanding of concepts and techniques, we used proportions, medians, and means, Mann-Whitney U test, Kaplan-Meier's (KM) survival analysis, linear and log-linear regression, log-ranked test, Cox proportional hazards model, Weibull parametric survival models and tertile analysis. Retrospective chart review was conducted to obtain a data set which was used to determine the trends in MD to disposition time. Data comprised of patients who had visited the emergency department (ED) during two distinct time periods and whose imaging studies were read by an attending emergency and trauma radiologist.

RESULTS

Median provided more insight into the data as compared with the mean. The Mann-Whitney U test was appropriate to evaluate MD to disposition time, but provided limited information. The Kaplan-Meier (KM) was able to offer more insight into the data since it did not assume an underlying model and that is the reason why it was appropriate. However, KM had limited ability to handle measured confounders and was unable to describe the magnitude of difference between curves. The Cox proportional hazards semi-parametric model or some other parametric model such as the Weibull could handle multiple measured confounders and described the magnitude of difference between two (survival) groups in the data set. However, both methods assumed underlying models that may not apply to the data set such as the one used in this study. Linear regression was unlikely to be appropriate due to the shape of survival time distributions, but log transforming the outcome could address the distribution issue. Nearly all the results of the KM subgroup analyses were consistent with the results of the log-transformed linear regression subgroup analyses and the interpretation of the results was the same for both.

CONCLUSION

Different statistical procedures may be applied to conduct exploratory subgroup analysis for a data set from a pre and post 24/7/365 attending coverage model. This could guide potential areas of further research to compare trends in MD to disposition time in ED. Pattern analysis provides evidence for various stakeholders to rethink the discourse about trends in MD to disposition time, pre and post 24/7/365 attending coverage. Graphical Illustration: The role of Emergency and Trauma Radiology in an Emergency Department.