Imaging Information Overload: Quantifying the Burden of Interpretive and Non-Interpretive Tasks for Computed Tomography Angiography for Aortic Pathologies in Emergency Radiology.

RATIONALE: Over the past decade, technological advances have provided new tools for radiologists. However, the effect of these technological advances on radiologist workload and detecting pathologies needs to be assessed. OBJECTIVE: The purpose of this study is to assess the workload, including non-interpretative tasks, associated with Computed Tomography Angiogram (CTA) of Aorta exams performed in the Emergency Department (ED) over a 10-year period and their relationship to detection of aortic pathology. MATERIALS AND METHODS: This is a retrospective analysis of CTAs of Aorta performed on adults with suspected acute aortic pathology within the ED at an academic level I quaternary care hospital from January 1, 2005, through December 31, 2015. Data assessed included (1) Interpretive tasks: total number of images, number of reformat series, number of radiology reports with positive aortic pathologies; and (2) Non-interpretative tasks: recommendations and documentation of verbal communication with requesting providers. Statistical analyses were performed to assess temporal trends of variables. P values less than 0.05 are considered significant. RESULTS: A total of 4368 examinations (mean age: 69.8, M/F: 56.8%/43.2%) were performed. Studies per year increased significantly from 2005 (n = 278) to 2007 (n = 445), but not significantly after. The number of images and reformat series per scan increased from 487 to 2819 and 6.4 to 13.7, respectively (both P-value < 0.01). The proportion of exams with aortic findings did not significantly change (28.1% in 2005 and 24.9% in 2015). However, The proportions of exams with verbal communication increased from 9.3% to 24.6% and with recommendations from 1.8% to 28.9% (both P-value < 0.01). CONCLUSION: During a 10-year period, CTAs performed in the ED for suspected aortic pathology were associated with a significant increase in images created, reformat series generated, recommendations, and verbal communications with ordering providers without a concomitant increase in the rate of aortic pathologies. To completely capture the complexities of CTA workloads, non-interpretive tasks such as radiologist recommendations and verbal communications should also be included.

Analysis of socioeconomic and demographic factors and imaging exam characteristics associated with missed appointments in pediatric radiology.

BACKGROUND: Missed appointments can have an adverse impact on health outcomes by delaying appropriate imaging, which can be critical in influencing treatment decisions. OBJECTIVE: To assess for socioeconomic and imaging exam factors associated with missed appointments among children scheduled for diagnostic imaging. MATERIALS AND METHODS: We retrospectively analyzed children (<18 years) scheduled for outpatient diagnostic imaging during a 12-month period. In doing so, we obtained socioeconomic and radiology exam characteristics (modality, intravenous contrast administration, radiation and use of sedation) data from the electronic medical record. We employed multivariate logistic regression to assess the association of socioeconomic, demographic and imaging exam characteristics with imaging missed appointments. RESULTS: In total, 7,275 children met inclusion criteria. The mean age was 8.8 years (standard deviation [SD] = 6.2 years) and the study population consisted of 52% female gender, 69% White race, 38% adolescent age group and 32% with a median household income by ZIP-code category of <$50,000. Logistic regression showed increased likelihood of missed appointments among children of Black/African-American race (odds ratio [OR] = 1.9; 95% confidence interval [CI] = 1.4-2.5); with insurance categories including Medicaid (OR=2.0; 95% CI=1.6-2.4), self-pay (OR=2.1; 95% CI=1.3-3.6) and other (OR=2.7; 95% CI=1.3-5.4); with <$50,000 median household income by ZIP-code category (OR=1.7; 95% CI=1.4-2.0); and with examination wait time of 7-21 days (OR=2.7; 95% CI=2.1-3.5) and >21 days (OR=3.7; 95% CI=2.9-4.8). The use of radiation, intravenous contrast agent or sedation was not associated with increased likelihood of missed appointments. CONCLUSION: Expanding our knowledge of how different socioeconomic and imaging-related factors influence missed appointments among children can serve as a foundational step to better understand existing and emerging disparities and inform strategies to advance health equity efforts in radiology.

Analysis of the Effects of a Patient-Centered Rideshare Program on Missed Appointments and Timeliness for MRI Appointments at an Academic Medical Center.

PURPOSE: The aim of this study was to assess the differences in timeliness to MRI appointments and missed MRI appointment rates before and after the implementation of a rideshare program. METHODS: Retrospective analysis of a rideshare program was performed 9 months after implementation to compare the effects before and after implementation. Variables obtained included demographics, MRI appointment variables, and data related to rideshare use. Descriptive statistics and linear and logistic regression analyses were used to compare demographic characteristics among patients using the rideshare program with (1) those who did not use the rideshare program after implementation and (2) patients before rideshare implementation. Rates of missed appointments derived from patient-related, same-day appointment cancellations were analyzed using logistic regression analyses. Timeliness was analyzed using linear regression analyses. All analyses were adjusted for potential confounders. RESULTS: Of 7,707 patients scheduled for MRI appointments during the postintervention period, 151 patients used the rideshare service (1.95%). There were no statistically significant differences in missed appointment rates after rideshare implementation (adjusted odds ratio, 1.09; 95% confidence interval, 0.93-1.27; P = .275). Patients using the rideshare service were more likely to be on time (adjusted coefficient = 13.0; 95% confidence interval, 5.4-20.5; P = .001). Older patients (P = .001), unemployed patients (P < .001), and patients without commercial insurance (P < .001) were more likely to use the rideshare service. CONCLUSIONS: Implementation of a rideshare program did not significantly decrease missed appointment rates, but it significantly improved timeliness to MRI appointments while assisting at-risk patient populations reporting transportation barriers.

Imaging Assessment of Thoracic Outlet Syndrome.

Imaging studies play a significant role in assessment of thoracic outlet syndrome. In this article, we discuss the etiology and definition of thoracic outlet syndrome and review the spectrum of imaging findings seen in patients with thoracic outlet syndrome. We then discuss an optimized technique for computed tomography and MRI of patients with thoracic outlet syndrome, based on the experience at our institution and present some representative examples. Based on our experience, a combination of computed tomography angiography and MRI (with postural maneuvers) effectively demonstrate thoracic outlet syndrome abnormalities.

Analysis of Out-of-Pocket Cost of Lung Cancer Screening for Uninsured Patients Among ACR-Accredited Imaging Centers.

PURPOSE: To determine the variability in out-of-pocket costs of lung cancer screening (LCS) for uninsured patients and assess accessibility of this information by telephone or Internet. METHODS: LCS centers from the ACR's LCS database were randomly selected. Centers were called between July and August 2019 to determine out-of-pocket cost. Telephone call variables, accessibility of cost information on screening centers' websites, screening centers' chargemasters, and publicly available facility and state insurance coverage variables were obtained. Cost information was summarized using descriptive analyses. Multiple variable linear regression analyses were conducted to evaluate effects of facility and state-level characteristics on out-of-pocket costs. RESULTS: Fifty-five ACR-accredited LCS centers were included with 78% (43 of 55) willing to provide out-of-pocket cost. Average out-of-pocket cost was $583 ± $607 (mean ± standard deviation), range $49 to $2,409. Average telephone call length 6 ± 3.8 min. Two of fifty-five screening centers' websites provided out-of-pocket cost information, and one matched cost given over the telephone. A chargemaster was found for 30 of 55 screening centers. No statistically significant differences in out-of-pocket costs were found by geographic region, state percentages of uninsured residents, state percentages of residents with public insurance, or facility safety net hospital affiliation. DISCUSSION: Out-of-pocket LCS costs for uninsured patients and availability of this information is highly variable. Radiology practices should be aware of this variability that may influence participation rates among uninsured patients.

A Radiology-focused Analysis of Transparency and Usability of Top U.S. Hospitals' Chargemasters.

RATIONALE AND OBJECTIVES: In 2019, Centers for Medicare and Medicaid Services enforced regulation from the Affordable Care Act, requiring all U.S. hospitals to publish standard hospital charges annually. This study assesses top U.S academic hospitals' chargemasters for selected advanced diagnostic imaging services and the usability of publicly available information to allow consumers to determine out-of-pocket costs. MATERIALS AND METHODS: Publicly available chargemasters and associated websites for the top 20 ranked hospitals in U.S. News and World Report were assessed for several features including: file format, inclusion of CPT codes, disclaimers on charges versus costs and professional fees, and tools allowing determination of actual out-of-pocket costs for selected advanced diagnostic imaging examinations. RESULTS: All hospitals had publicly available chargemasters, 90% of which were in Microsoft Excel format. Ten percent of chargemasters included CPT codes. All chargemaster websites had disclaimers regarding differences between charges versus patient costs; 20% had disclaimers regarding professional fees. 20% of hospitals provided out-of-pocket costs for uninsured patients or tools allowing out-of-pocket cost determination. Median (range) MR exam charges were: brain with and without contrast: $5375 ($834-$13,857), noncontrast knee: $3402 (4530-$6924); noncontrast lumbar spine: $ 3449 ($473-$7367). Median (range) CT exam charges were: noncontrast head: $1923 ($165-$4974), noncontrast chest: $1947 ($282-$2991); contrast abdomen/pelvis: $4307 ($486-$11,726). CONCLUSION: While all top-ranked hospitals had publicly available chargemasters, they rarely provided transparent information to allow patients to determine out-of-pocket costs for advanced diagnostic imaging services.

Predictors of MRI Leakage Among Patients Attributed to an Academic Medical Center Commercial Risk-Shared Insurance Contract.

PURPOSE: For health care organizations engaged in risk-shared insurance contracts, leakage of advanced diagnostic imaging to imaging sites not affiliated with the risk-sharing organization may undermine performance on financial and quality metrics. The goal of this study was to identify factors that are predictive of leakage of MRI examinations among patients attributed to an academic health care organization's risk-shared commercial insurance contract. METHODS: Administrative claims data from 2015 through 2016 for patients attributed to a single risk-shared commercial insurance contract at a large academic medical center (AMC) were analyzed. Primary outcome was MRI leakage: an outpatient MRI study performed at a site not affiliated with the AMC's integrated health care system. Ordering provider alignment with the AMC's risk-shared insurance contract was categorized as strong, weak, or none. Multivariate regression analyses were conducted to evaluate the relationship between provider alignment and MRI leakage, while adjusting for selected covariates. RESULTS: Among 8,215 patients meeting inclusion criteria, there were 13,272 MRI encounters. The overall proportion of leaked MRI studies was 12.7%. MRI studies ordered by providers with weak AMC alignment (odds ratio, 3.16; 95% confidence interval, 2.49-4.02) or no AMC alignment (odds ratio, 3.68; 95% confidence interval, 3.12-4.33) were more likely to leak than MRI studies ordered by providers with strong AMC alignment. CONCLUSIONS: An ordering provider with no alignment with an AMC's commercial risk-shared insurance contract was the strongest predictor of MRI leakage. Population health management initiatives aimed at reducing leakage should consider the impact of provider networks and clinical referral patterns that drive imaging utilization.

Turning around cancer: Oncology imaging and implications for emergency department radiology workflow.

PURPOSE: Oncologic imaging in the emergency department (ED) is frequently encountered, including non-acute scans known as "metastatic workups" or "staging" (referred to as "cancer staging computed tomography (CT) exams"). This study examines the impact of oncologic staging CT exams on ED imaging turnaround time (TAT), defined as the time from the end of the CT exam to a final signed radiologist report, as well as order to scan completion time. METHODS: A retrospective review was conducted of all adult patients presenting to an urban, quaternary academic medical center ED from February 2016 to September 2017, who had CT imaging ordered, performed, and interpreted in the ED imaging department. CT exams containing institution-specific cancer descriptors were included. After excluding all acute exams, cancer staging CT exams were compared to a matched cohort of non-oncologic ED CT exams to evaluate median TAT and order to scan completion time using a log transformed multivariable linear regression. RESULTS: Adjusting for age and CT body part, cancer staging CT exams were associated with an independently statistically significant increased median log TAT compared to non-oncologic ED CT exams (114.5 min [IQR 112] versus 69 min [IQR 67], respectively, p < .0001) and an independently statistically significant increased median log initial order to scan completion time (166 min [IQR: 89] vs 119 min [IQR: 93], p < .0001). CONCLUSION: Oncology patients receiving non-acute metastatic workup scans in the ED have a significantly longer TAT compared to non-oncologic ED CT exams as well as longer order to scan completion times.

Characteristics of Paid Malpractice Claims Among Resident Physicians From 2001 to 2015 in the United States.

PURPOSE: Limited information exists about medical malpractice claims against physicians-in-training. Data on residents' involvement in malpractice actions may inform perceptions about medicolegal liability and influence clinical decision-making at a formative stage. This study aimed to characterize rates and payment amounts of paid malpractice claims on behalf of resident physicians in the United States. METHOD: Using data from the National Practitioner Data Bank, 1,248 paid malpractice claims against resident physicians (interns, residents, and fellows) from 2001 to 2015, representing 1,632,471 residents-years, were analyzed. Temporal trends in overall and specialty-specific paid claim rates, payment amounts, catastrophic (> $1 million) and small (< $100,000) payments, and other claim characteristics were assessed. Payment amounts were compared with attending physicians during the same time period. RESULTS: The overall paid malpractice claim rate was 0.76 per 1,000 resident-years from 2001 to 2015. Among 1,194 unique residents with paid claims, 95.7% had exactly 1 claim, while 4.3% had 2-4 claims during training. Specialty-specific paid claim rates ranged from 0.12 per 1,000 resident-years (pathology) to 2.96 (obstetrics and gynecology). Overall paid claim rates decreased by 52% from 2001-2005 to 2011-2015 (95% confidence interval [CI]: 0.45, 0.59). Median inflation-adjusted payment amount was $199,024 (2015 dollars), not significantly different from payments made on behalf of attending physicians during the same period. Proportions of catastrophic (11.2%) and small (33.1%) claims did not significantly change over the study period. CONCLUSIONS: From 2001 to 2015, paid malpractice claim rates on behalf of resident physicians decreased by 52%, while median payment amounts were stable. Resident paid claim rates were lower than attending physicians, while payment amounts were similar.

Assessing Eligibility for Lung Cancer Screening Among Women Undergoing Screening Mammography: Cross-Sectional Survey Results From the National Health Interview Survey.

PURPOSE: Millions of women undergo mammography screening each year, presenting an opportunity for radiologists to identify women eligible for lung cancer screening (LCS) with low-dose chest CT and smoking cessation counseling. The purpose of our study was to estimate the proportion of women eligible for LCS and tobacco cessation counseling among women reporting mammography screening within the previous 2 years using nationally representative cross-sectional survey data. METHODS: Women between the ages of 55 and 74 years in the 2015 National Health Interview Survey without history of lung or breast cancer who reported mammography use in the previous 2 years were included. The primary outcome was the weighted proportion of women eligible for LCS. Secondary outcomes included self-reported receipt of LCS and current smoking. Bivariate and multiple variable logistic regression analyses were performed to evaluate the association between primary and secondary outcomes and sociodemographics, accounting for complex survey design elements. RESULTS: Among 3,806 women meeting inclusion criteria, 7.1% were eligible for LCS and 9.8% were current smokers. Multivariable analyses demonstrated that LCS-eligible women were more likely to be white, younger, and non-college-educated and have lower household incomes (all P < .001). Among all LCS-eligible women, 58% reported undergoing mammography screening within the previous 2 years. Among LCS-eligible women who underwent screening mammography, 7.9% reported undergoing LCS. CONCLUSIONS: The majority of LCS-eligible women received mammography screening but did not receive LCS. Mammography encounters may represent prime opportunities to increase LCS participation among patients already receiving imaging-based screening services.

Temporal Trends in Imaging Utilization for Suspected Substance Use Disorder in an Academic Emergency Radiology Department.

PURPOSE: To assess temporal trends and utilization patterns of diagnostic imaging performed for substance use disorder (SUD)-related indications in an academic radiology emergency department (ED). METHODS: Retrospective analyses of ED imaging examinations acquired from 2005 to 2015 were performed. Imaging examinations performed for suspected SUD-related indications, based on the order history, were compared with those without a SUD-related indication. Unadjusted analyses comparing demographic and imaging characteristics between SUD-related versus non-SUD-related indications used Wilcoxon and Pearson's χ2 tests. Multivariable logistic regression models, within each imaging modality subgroup and combined, were employed to examine the odds of imaging examinations having an SUD-related indication as a function of demographic and imaging characteristics. RESULTS: Among 938,245 examinations, 0.17% had an SUD-related indication. Patients with SUD-related indications were younger (mean 37.2 ± 11.1 versus 53.5 ± 22.4, P < .001) and more commonly male (65% versus 52%, P < .001). The proportions of MR (17%), spine (17%), and extremities (33%) studies performed for SUD-related indications were larger among SUD than non-SUD indications (6%, 8%, 26%, respectively, all P < .001). Regression analysis demonstrated the odds of acquiring an ED imaging examination with an SUD-related indication significantly increased over time (P < .001, adjusted odds ratio [aOR] = 1.06), which was most pronounced among MR (P < .001, aOR = 1.23). For all regression models, younger age, male gender, and body part being imaged were identified as independent predictors of an SUD-related indication for ED imaging. CONCLUSION: Imaging performed for an SUD-related indication represented a small but increasing subset of overall ED imaging. Utilization of MR for SUD-related indications significantly outpaced growth of MR without SUD-related indications.

Implementation of an Intimate Partner Violence Screening Assessment and Referral System in an Academic Women's Imaging Department.

PURPOSE: One in five US women report that they have been victims of intimate partner violence (IPV) during their lifetime. With millions of women presenting for mammography every year, breast imaging centers may represent ideal venues to identify women at risk for IPV and refer them to appropriate support services. Our purpose was to evaluate implementation of a novel IPV screening and referral system for women presenting for mammography. METHODS: A question was added to intake questionnaire ("Do you feel safe in your home?") for adult women presenting for screening or diagnostic mammography from 2016 to 2017 at our hospital outpatient breast imaging sites. The proportion of women presenting for screening or diagnostic mammogram who felt unsafe was calculated. Bivariate logistic regression analyses were performed to compare baseline characteristics of women who stated that they felt unsafe at home versus women who did not state that they felt unsafe at home. RESULTS: In all, 99,029 examinations were performed (68,158 unique patients). Of these patients, 71 stated that they felt unsafe at home (71 of 68,158, 0.1%). Women presenting for their first mammogram were more likely to report feeling unsafe at home (odds ratio 3.03, 95% confidence interval 1.31-7.06, P = .01). No differences were found in age (P = .148), ethnicity (P = .271), gravida (P = .676), parity (P = .752), age at menarche (P = .775), and history of breast cancer (P = .726). CONCLUSIONS: Our results demonstrate the feasibility of a screening and referral system for IPV in radiology departments.

Impact of Primary Care Physician Interaction on Longitudinal Adherence to Screening Mammography Across Different Racial/Ethnic Groups.

PURPOSE: Regular contact with a primary care physician (PCP) is associated with increased participation in screening mammography. Older studies suggested that PCP interaction may have a smaller effect on screening mammography uptake among racial and ethnic minorities compared with whites, but there is limited contemporary evidence about the effect of PCP interaction on screening mammography uptake across different racial and ethnic groups. The purpose of this study was to evaluate the association between PCP contact and longitudinal adherence with screening mammography guidelines over a 10-year period across different racial/ethnic groups. METHODS: This HIPAA-compliant and institutional review board-approved retrospective single-institution study included women between the ages of 50 and 64 years who underwent screening mammography in the calendar year of 2005. The primary outcome of interest was adherence to recommended screening mammography guidelines (yes or no) at each 2-year interval from their index screening mammographic examination in 2005 until 2015. Patients were defined as having a high level of PCP interaction if their PCPs were listed in the electronic medical record within the top three providers with whom the patients had the most visits during the study period. Generalized estimating equation models were used to estimate the effect of high PCP interaction on screening mammography adherence while adjusting for correlated observations and patient characteristics. RESULTS: Patients in the high PCP interaction group had increased longitudinal adherence to recommended screening mammography (adjusted odds ratio [OR], 1.51; 95% confidence interval [CI], 1.42-1.73; P < .001). This was observed in stratified analyses for all self-reported racial groups, including white (adjusted OR, 1.51; 95% CI, 1.36-1.68; P < .001), black (adjusted OR, 1.93; 95% CI, 1.31-2.86; P = .001), Hispanic (adjusted OR, 1.92; 95% CI, 1.27-2.87; P = .002), Asian (adjusted OR, 1.55; 95% CI, 1.01-2.39; P = .045), and other (adjusted OR, 2.18; 95% CI, 1.32-3.56; P = .002), with no evidence of effect modification by race/ethnicity (P = .342). Medicaid (adjusted OR, 0.41; 95% CI, 0.31-0.53) and self-pay or other (adjusted OR, 0.39; 95% CI, 0.27-0.56) insurance categories were associated with decreased longitudinal adherence to recommended screening mammography (P < .001 for both). CONCLUSIONS: High levels of PCP interaction result in similar improvements in longitudinal screening mammography adherence for all racial/ethnic minority groups. Future efforts will require targeted outreach to assist Medicaid and uninsured patient populations overcome barriers to screening mammography adherence.

Chronic Medical Illness as a Risk Factor for Poor Mammography Screening Adherence.

Objective: The aim of this study was to determine the association between the presence of chronic medical disease and mammography screening adherence. Materials and Methods: We performed a retrospective study on women between the ages of 50 and 64 who received screening mammography in 2005 and had at least 8 years of follow-up. Demographic and clinical information was obtained from our centralized patient data registry. Women diagnosed with one or more of the following diseases for at least 3 months before their index mammogram were considered to have a chronic disease, including atrial fibrillation, congestive heart failure, Chronic Obstructive Pulmonary Disease (COPD), diabetes mellitus type II, heart disease, and/or peripheral vascular disease. Generalized estimating equations were used to evaluate for correlated observations. Multivariable regression analyses were used to evaluate the effects of selected chronic medical diseases on longitudinal engagement with routine mammography. Results: Of 9575 women identified, 1669 (17.7%) had one or more of the selected chronic medical diseases. The presence of one or more of these diseases was associated with reduced mammography screening (-0.29; confidence interval [CI] = -0.36 to -0.14; p < 0.01) compared with women without these diseases over the study period. Within this group, the presence of congestive heart failure (-0.88; CI = -0.84 to -0.45; p ≤ 0.01), COPD (-0.39; CI = -0.57 to -0.21; p ≤ 0.01), or diabetes mellitus type II (-0.37; CI = -0.57 to -0.17; p ≤ 0.01) was individually associated with reduced screening compared with women without the respective disease. Compared with women without chronic medical disease, women with multiple chronic medical diseases (-0.62; CI = -0.93 to -0.30; p ≤ 0.01) were significantly (p ≤ 0.05) less likely to receive routine screening, while no significant difference was seen in women with only one chronic medical disease (-0.18; CI = -0.39 to -0.02; p ≤ 0.08). Conclusion: Despite experiencing longer life expectancies, women with specific chronic diseases may experience additional barriers to uptake of mammography screening, which is likely compounded by the comorbidity burden of being simultaneously treated for multiple chronic conditions. Increased health care interactions seen in this group may represent missed opportunities to improve screening adherence.