The effects of changes in utilization and technological advancements of cross-sectional imaging on radiologist workload.

RATIONALE AND OBJECTIVES To examine the effect of changes in utilization and advances in cross-sectional imaging on radiologists' workload. MATERIALS AND METHODS All computed tomography (CT) and magnetic resonance imaging (MRI) examinations performed at a single institution between 1999 and 2010 were identified and associated with the total number of images for each examination. Annual trends in institutional numbers of interpreted examinations and images were translated to changes in daily workload for the individual radiologist by normalizing to the number of dedicated daily CT and MRI work assignments, assuming a 255-day/8-hour work day schedule. Temporal changes in institutional and individual workload were assessed by Sen's slope analysis (Q = median slope) and Mann-Kendall test (Z = Z statistic). RESULTS From 1999 to 2010, a total of 1,517,149 cross-sectional imaging studies (CT = 994,471; MRI = 522,678) comprising 539,210,581 images (CT = 339,830,947; MRI = 199,379,634) were evaluated at our institution. Total annual cross-sectional studies steadily increased from 84,409 in 1999 to 147,336 in 2010, representing a twofold increase in workload (Q = 6465/year, Z = 4.2, P < .0001). Concomitantly, the number of annual departmental cross-sectional images interpreted increased from 9,294,140 in 1990 to 94,271,551 in 2010, representing a 10-fold increase (Q = 8707876/year, Z = 4.5, P < .0001). Adjusting for staffing changes, the number of images requiring interpretation per minute of every workday per staff radiologist increased from 2.9 in 1999 to 16.1 in 2010 (Q = 1.7/year, Z = 4.3, P < .0001). CONCLUSIONS Imaging volumes have grown at a disproportionate rate to imaging utilization increases at our institution. The average radiologist interpreting CT or MRI examinations must now interpret one image every 3-4 seconds in an 8-hour workday to meet workload demands.

[1]  Juan Alvarez-Linera,et al.  3T MRI: advances in brain imaging. , 2008, European journal of radiology.

[2]  P. Sen Estimates of the Regression Coefficient Based on Kendall's Tau , 1968 .

[3]  D. Brenner,et al.  Computed tomography--an increasing source of radiation exposure. , 2007, The New England journal of medicine.

[4]  B. Every,et al.  Radiation exposure and the justification of computed tomography scanning in an Australian hospital emergency department , 2009, Internal medicine journal.

[5]  Val M Runge,et al.  Current Technological Advances in Magnetic Resonance With Critical Impact for Clinical Diagnosis and Therapy , 2013, Investigative radiology.

[6]  James H Thrall,et al.  Quality and safety revolution in health care. , 2004, Radiology.

[7]  N. Kuppermann,et al.  Pediatric head trauma: changes in use of computed tomography in emergency departments in the United States over time. , 2007, Annals of Emergency Medicine.

[8]  R. Khorasani,et al.  Use of neuroimaging in US emergency departments. , 2011, Archives of internal medicine.

[9]  R. Kumar,et al.  The utility of computed tomography as a screening tool for the evaluation of pediatric blunt chest trauma. , 2009, The Journal of trauma.

[10]  J. Linakis,et al.  Increasing computed tomography use for patients with appendicitis and discrepancies in pain management between adults and children: an analysis of the NHAMCS. , 2012, Annals of emergency medicine.

[11]  Kevin M. Schartz,et al.  Long radiology workdays reduce detection and accommodation accuracy. , 2010, Journal of the American College of Radiology : JACR.

[12]  Savvas Nicolaou,et al.  The evolving role of the radiologist: the Vancouver workload utilization evaluation study. , 2013, Journal of the American College of Radiology : JACR.

[13]  K. Chu,et al.  Radiological imaging to improve the emergency department diagnosis of acute appendicitis. , 2004, Emergency medicine Australasia : EMA.

[14]  Sallie J. Weaver,et al.  Cognitive and system factors contributing to diagnostic errors in radiology. , 2013, AJR. American journal of roentgenology.

[15]  D. Bates,et al.  Improving safety with information technology. , 2003, The New England journal of medicine.

[16]  Jesse M. Pines,et al.  Trends in the Rates of Radiography Use and Important Diagnoses in Emergency Department Patients With Abdominal Pain , 2009, Medical care.

[17]  Hadley Wickham,et al.  ggplot2 - Elegant Graphics for Data Analysis (2nd Edition) , 2017 .

[18]  A. Mosterd,et al.  Advances in cardiac imaging: the role of magnetic resonance imaging and computed tomography in identifying athletes at risk , 2009, British Journal of Sports Medicine.

[19]  James H Thrall,et al.  Addressing overutilization in medical imaging. , 2010, Radiology.

[20]  John M Boone,et al.  Computed tomography use in a tertiary care university hospital. , 2008, Journal of the American College of Radiology : JACR.

[21]  E. Halpern,et al.  Sixty-four-slice multidetector computed tomography: the future of ED cardiac care. , 2007, The American journal of emergency medicine.

[22]  Bradley James Erickson,et al.  Requirements for an Enterprise Digital Image Archive , 2001, Journal of Digital Imaging.

[23]  P. Babyn,et al.  US or CT for Diagnosis of Appendicitis in Children and Adults? A Meta-Analysis. , 2006, Radiology.

[24]  A. Pitman,et al.  Radiologist workloads in teaching hospital departments: measuring the workload. , 2006, Australasian radiology.

[25]  D. Newman,et al.  Computed tomography use in the adult emergency department of an academic urban hospital from 2001 to 2007. , 2010, Annals of emergency medicine.

[26]  R. Evens,et al.  Advances in the use of computed tomography. , 1999, JAMA.

[27]  Julius Cuong Pham,et al.  Use of advanced radiology during visits to US emergency departments for injury-related conditions, 1998-2007. , 2010, JAMA.

[28]  Jian-cang Zhou,et al.  Trends in Computed Tomography Utilization and Association with Hospital Outcomes in a Chinese Emergency Department , 2012, PloS one.

[29]  T. Villafana Technologic advances in computed tomography. , 1991, Current opinion in radiology.

[30]  R A Robb,et al.  X-ray computed tomography: an engineering synthesis of multiscientific principles. , 1982, Critical reviews in biomedical engineering.

[31]  H. B. Mann Nonparametric Tests Against Trend , 1945 .

[32]  A. Blamire,et al.  The technology of MRI--the next 10 years? , 2008, The British journal of radiology.

[33]  J. Holmes,et al.  Computed tomography versus plain radiography to screen for cervical spine injury: a meta-analysis. , 2005, The Journal of trauma.

[34]  F. Jazayeri,et al.  Evolving standards of practice for cervical spine imaging in trauma: a retrospective review. , 2007, Australasian radiology.

[35]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[36]  H. Krumholz,et al.  National trends in use of computed tomography in the emergency department. , 2011, Annals of emergency medicine.

[37]  A. S. Guimarães,et al.  The radiologist’s conundrum: benefits and costs of increasing CT capacity and utilization , 2008, European Radiology.

[38]  Ortendahl Da,et al.  Directions in magnetic resonance imaging technology. , 1989 .

[39]  David M. Warshauer,et al.  Increasing utilization of computed tomography in the adult emergency department, 2000–2005 , 2006, Emergency Radiology.

[40]  G. Boland,et al.  Maximizing outpatient computed tomography productivity using multiple technologists. , 2008, Journal of the American College of Radiology : JACR.

[41]  J. Fine,et al.  Trends in use and yield of chest computed tomography with angiography for diagnosis of pulmonary embolism in a Connecticut hospital emergency department. , 2010, Connecticut medicine.