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Large-Scale Assessment of Scan-Time Variability and Multiple-Procedure Efficiency for Cross-Sectional Neuroradiological Exams in Clinical Practice

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Abstract

Scheduling of CT and MR exams requires reasonable estimates for expected scan duration. However, scan-time variability and efficiency gains from combining multiple exams are not quantitatively well characterized. In this work, we developed an informatics approach to quantify typical duration, duration variability, and multiple-procedure efficiency on a large scale, and used the approach to analyze 48,766 CT- and MR-based neuroradiological exams performed over one year. We found MR exam durations demonstrated higher absolute variability, but lower relative variability and lower multiple-procedure efficiency, compared to CT exams (p < 0.001). Our approach enables quantification of real-world operational performance and variability to inform optimal patient scheduling, efficient resource utilization, and sustainable service planning.

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Abbreviations

CPT:

Current Procedural Terminology

CT:

Computed tomography

MR:

Magnetic resonance

CTA:

Computed tomography angiography

MRA:

Magnetic resonance angiography

w:

With contrast

wo:

Without contrast

wo/w:

Without-and-with contrast

IQR:

Interquartile range

CQV:

Coefficient of quartile variation

References

  1. Carroll TJ: Trends in on-call workload in an academic medical center radiology department 1998-20021. Acad Radiol. 10(11):1312–1320, 2003

    Article  Google Scholar 

  2. Kansagra AP, Liu K, Yu JP: Disruption of radiologist workflow. Curr Probl Diagn Radiol. 45(2):101–106, 2016. https://doi.org/10.1067/j.cpradiol.2015.05.006

    Article  PubMed  Google Scholar 

  3. Yu JP, Kansagra AP, Mongan J: The radiologist’s workflow environment: evaluation of disruptors and potential implications. J Am Coll Radiol. 11(6):589–593, 2014. https://doi.org/10.1016/j.jacr.2013.12.026

    Article  PubMed  Google Scholar 

  4. Forman HP: MRI and CT imaging: how fast can reimbursement be cut? AJR Am J Roentgenol. 187(3):601–602, 2006

    Article  Google Scholar 

  5. Moser JW: The deficit reduction act of 2005: policy, politics, and impact on radiologists. J Am Coll Radiol. 3(10):744–750, 2006

    Article  Google Scholar 

  6. Duszak R Jr, Silva E 3rd, Kim AJ, Barr RM, Donovan WD, Kassing P, McGinty G, Allen B Jr. Professional efficiencies for diagnostic imaging services rendered by different physicians: analysis of recent medicare multiple procedure payment reduction policy. J Am Coll Radiol. 2013;10(9):682–688. doi: https://doi.org/10.1016/j.jacr.2013.02.019.

  7. Allen, Jr B, Donovan WD, McGinty G, Barr RM, Silva, 3rd E, Duszak, Jr R, Kim AJ, Kassing P: Professional component payment reductions for diagnostic imaging examinations when more than one service is rendered by the same provider in the same session: an analysis of relevant payment policy. J Am Coll Radiol. 8(9):610–616, 2011. https://doi.org/10.1016/j.jacr.2011.06.012

    Article  PubMed  Google Scholar 

  8. Rehani B, Basu P, Ellenbogen PH, Sherin C, Cooper JJ: The threat to radiologists from the multiple-procedure payment reduction. J Am Coll Radiol. 10(4):237–238, 2013. https://doi.org/10.1016/j.jacr.2012.12.017

    Article  PubMed  Google Scholar 

  9. Elkhuizen SG, van Sambeek JR, Hans EW, Krabbendam KJ, Bakker PJ: Applying the variety reduction principle to management of ancillary services. Health Care Manage Rev. 32(1):37–45, 2007

    Article  Google Scholar 

  10. Boland GW: Enhancing CT productivity: strategies for increasing capacity. AJR Am J Roentgenol. 191(1):3–10, 2008. https://doi.org/10.2214/AJR.07.3208

    Article  PubMed  Google Scholar 

  11. Carpenter AP, Leemis LM, Papir AS, Phillips DJ, Phillips GS: Managing magnetic resonance imaging machines: support tools for scheduling and planning. Health Care Manag Sci. 14(2):158–173, 2011. https://doi.org/10.1007/s10729-011-9153-z

    Article  PubMed  Google Scholar 

  12. Vasanawala SS, Desser TS: Accommodation of requests for emergency US and CT: applications of queueing theory to scheduling of urgent studies. Radiology. 235(1):244–249, 2005

    Article  Google Scholar 

  13. Vermeulen IB, Bohte SM, Elkhuizen SG, Lameris H, Bakker PJ, La Poutré H: Adaptive resource allocation for efficient patient scheduling. Artif Intell Med. 46(1):67–80, 2009. https://doi.org/10.1016/j.artmed.2008.07.019

    Article  PubMed  Google Scholar 

  14. Bonett D: Confidence interval for a coefficient of quartile variation. Comput Stat Data Anal. 50(11):2953–2957, 2006. https://doi.org/10.1016/j.csda.2005.05.007

    Article  Google Scholar 

  15. Salazar G, Quencer K, Aran S, Abujudeh H: Patient satisfaction in radiology: qualitative analysis of written complaints generated over a 10-year period in an academic medical center. J Am Coll Radiol. 10(7):513–517, 2013. https://doi.org/10.1016/j.jacr.2013.03.013

    Article  PubMed  Google Scholar 

  16. Itri JN: Patient-centered radiology. Radiographics. 35(6):1835–1846, 2015. https://doi.org/10.1148/rg.2015150110

    Article  PubMed  Google Scholar 

  17. Reynolds A: Patient-centered care. Radiol Technol. 81(2):133–147, 2009

    PubMed  Google Scholar 

  18. Rosenkrantz AB, Pysarenko K: The service encounter in radiology: acing the “moments of truth” to achieve patient-centered care. Acad Radiol. 22(2):259–264, 2015. https://doi.org/10.1016/j.acra.2014.09.009

    Article  PubMed  Google Scholar 

  19. Boland GW: Diagnostic imaging centers for hospitals: a different business proposition for outpatient radiology. J Am Coll Radiol. 4(9):581–583, 2007

    Article  Google Scholar 

  20. Rubin GD, Patel BN: Financial forecasting and stochastic modeling: predicting the impact of business decisions. Radiology. 283(2):342–358, 2017. https://doi.org/10.1148/radiol.2017161800

    Article  PubMed  Google Scholar 

  21. Medverd JR, Prabhu SJ, Lam DL: Business of radiology: financial fundamentals for radiologists. AJR Am J Roentgenol. 201(5):W683–W690, 2013. https://doi.org/10.2214/AJR.13.10838.

    Article  PubMed  Google Scholar 

  22. Lu L, Li J, Gisler P: Improving financial performance by modeling and analysis of radiology procedure scheduling at a large community hospital. J Med Syst. 35(3):299–307, 2011. https://doi.org/10.1007/s10916-009-9366-6

    Article  PubMed  Google Scholar 

  23. Nisenbaum HL, Birnbaum BA, Myers MM, Grossman RI, Gefter WB, Langlotz CP: The costs of CT procedures in an academic radiology department determined by an activity-based costing (ABC) method. J Comput Assist Tomogr. 24(5):813–823, 2000

    Article  CAS  Google Scholar 

  24. Anzai Y, Heilbrun ME, Haas D, Boi L, Moshre K, Minoshima S, Kaplan R, Lee VS: Dissecting costs of CT study: application of TDABC (time-driven activity-based costing) in a tertiary academic center. Acad Radiol. 24(2):200–208, 2017. https://doi.org/10.1016/j.acra.2016.11.001

    Article  PubMed  Google Scholar 

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Correspondence to Akash P. Kansagra.

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Zhang, R., Narra, V.R. & Kansagra, A.P. Large-Scale Assessment of Scan-Time Variability and Multiple-Procedure Efficiency for Cross-Sectional Neuroradiological Exams in Clinical Practice. J Digit Imaging 33, 143–150 (2020). https://doi.org/10.1007/s10278-019-00252-w

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  • DOI: https://doi.org/10.1007/s10278-019-00252-w

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