Subspecialized radiological reporting reduces radiology report turnaround time

Insights into Imaging - Tập 11 - Trang 1-9 - 2020
Andreas Otto Josef Zabel1,2, Sebastian Leschka1,2, Simon Wildermuth1,2, Juerg Hodler2,3, Tobias Johannes Dietrich1,2
1Division of Radiology and Nuclear Medicine, Kantonsspital St. Gallen, St. Gallen, Switzerland
2Faculty of Medicine, University of Zurich, Zürich, Switzerland
3Department of Diagnostic and Interventional Radiology, University Hospital of Zurich, Zürich, Switzerland

Tóm tắt

The objective of this study was to compare the radiology report turnaround time (RTAT) between decentralized/modality-based and centralized/subspecialized radiological reporting at a multi-center radiology enterprise. RTAT values for MRI, CT, and conventional radiography were compared between decentralized/modality-based (04 September 2017–22 December 2017) and centralized/subspecialized radiology (03 September 2018–21 December 2018) reporting grouped into three subspecializations (body radiology, musculoskeletal radiology, and neuroradiology) at eleven sites of a multi-center radiology enterprise. For the objective of this investigation, hospitals were defined as major and minor hospitals. The Mann-Whitney U test served for statistical analyses. Change of reporting system from decentralized/modality-based to centralized/subspecialized radiology resulted overall in a significant decrease of the RTAT: from 82 to 77 min for the first signature (p < 0.001), and 119 to 107 min and 295 to 238 min for the second signature (p < 0.001). Subgroup analyses demonstrate a significant decrease of the RTAT for MRI reports (e.g., second signature RTAT, 1051 to 401 min; p < 0.001) and conventional radiographs (e. g., second signature RTAT, 278 to 171 min; p < 0.001). The RTAT at major hospitals decreased from 288 to 245 min (second signature; p < 0.001) while the corresponding RTAT of minor hospitals decreased more remarkably, from 300 to 198 min (p < 0.001). However, the results were heterogenous; in some analyses, the RTAT even increased. The effect size analyses represent small effects. Change of reporting system from decentralized/modality-based to centralized/subspecialized radiology was associated with a significant decreased RTAT. Specifically, the RTAT for MRI reports and conventional radiographs was significantly reduced. A pronounced RTAT decrease was observed at minor hospitals.

Tài liệu tham khảo

Rosenkrantz AB, Wang W, Hughes DR, Duszak R Jr (2018) Generalist versus subspecialist characteristics of the U.S. radiologist workforce. Radiology 286:929–937

Rehani B, Zhang YC, Rehani MM et al (2017) Radiology education in Europe: analysis of results from 22 European countries. World J Radiol. 9:55–62

Meyl TP, de Bucourt M, Berghöfer A et al (2019) Subspecialization in radiology: effects on the diagnostic spectrum of radiologists and report turnaround time in a Swiss university hospital. Radiol Med. 124:860–869

Fleishon HB, Vijayasarathi A, Pyatt R, Schoppe K, Rosenthal SA, Silva E 3rd. (2019) White paper: corporatization in radiology. J Am Coll Radiol. 16:1364–1374

European Society of Radiology (2010) The future role of radiology in healthcare. Insights Imaging. 1:2–11

Swiss Federal Statistical Office - STAT-TAB, online database – Ständige und nichtständige Wohnbevölkerung nach institutionellen Gliederungen, Geburtsort und Staatsangehörigkeit (in German)

Glaser C, Trumm C, Nissen-Meyer S, Francke M, Küttner B, Reiser M (2005) Speech recognition: impact on workflow and report availability. Radiologe. 45:735–742

Boland GW, Guimaraes AS, Mueller PR (2008) Radiology report turnaround: expectations and solutions. Eur Radiol. 18:1326–1328

Altman DG, Bland JM (1995) Statistics notes: the normal distribution. BMJ. 310:298

Victor A, Elsässer A, Hommel G, Blettner M (2010) Judging a plethora of p-values: how to contend with the problem of multiple testing--part 10 of a series on evaluation of scientific publications. Dtsch Arztebl Int. 107:50–56

Cohen J (1992) A power primer. Psychol Bull. 112:155–159

Oechtering TH, Panagiotopoulos N, Völker M et al (2020) Work and training conditions of German residents in radiology - results from a nationwide survey conducted by the young radiology forum in the German Roentgen Society. Rofo. 192:458–470

Forsberg D, Rosipko B, Sunshine JL (2017) Radiologists’ variation of time to read across different procedure types. J Digit Imaging. 30:86–94

Stern C, Boehm T, Seifert B, Kawel-Boehm N (2018) Subspecialized radiological reporting expedites turnaround time of radiology reports and increases productivity. Rofo. 190:623–629

Dionisio JD, Taira RK, Sinha U et al (2000) Teleradiology as a foundation for an enterprise-wide health care delivery system. Radiographics. 20:1137–1150

Brand J, Bernegger A, Pressinger D, Schindler M, Neubauer T (2019) Multihospital use of imaging techniques in decentralized trauma care. Unfallchirurg. 122:328–332

Bradley WG Jr (2012) Teleradiology. Neuroimaging Clin N Am. 22:511–517

Rao SH, Virarkar M, Yang WT et al (2020) Streamlining the quantitative metrics workflow at a comprehensive cancer center. Acad Radiol S1076-6332(20)30364-30360. doi:https://doi.org/10.1016/j.acra.2020.06.014

Baccei SJ, Henderson SR, Lo HS, Reynolds K (2020) Using quality improvement methodology to reduce costs while improving efficiency and provider satisfaction in a busy, academic musculoskeletal radiology division. J Med Syst. 44:104

Seithe T, de Bucourt M, Busse R et al (2015) Teleradiological report turnaround times: an internal efficiency and quality control analysis. Radiologe 55(5):409-416

Rathnayake S, Nautsch F, Goodman TR, Forman HP, Gunabushanam G (2017) Effect of radiology study flow on report turnaround time. AJR Am J Roentgenol. 209:1308–1311

Prevedello LM, Ledbetter S, Farkas C, Khorasani R (2014) Implementation of speech recognition in a community-based radiology practice: effect on report turnaround times. J Am Coll Radiol. 11:402–406

Andriole KP, Prevedello LM, Dufault A et al (2010) Augmenting the impact of technology adoption with financial incentive to improve radiology report signature times. J Am Coll Radiol. 7:198–204

Kwak SK, Kim JH (2017) Statistical data preparation: management of missing values and outliers. Korean J Anesthesiol. 70:407–411

Brydges CR (2019) Effect size guidelines, sample size calculations, and statistical power in gerontology. Innov Aging. 4;3(4):igz036

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Insights into Imaging

Tập 11

1-9

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