Skip to main content
Top
Published in: Journal of Digital Imaging 5/2017

01-10-2017

Use of a Web-Based Calculator and a Structured Report Generator to Improve Efficiency, Accuracy, and Consistency of Radiology Reporting

Authors: Alexander J. Towbin, C. Matthew Hawkins

Published in: Journal of Imaging Informatics in Medicine | Issue 5/2017

Login to get access

Abstract

While medical calculators are common, they are infrequently used in the day-to-day radiology practice. We hypothesized that a calculator coupled with a structured report generator would decrease the time required to interpret and dictate a study in addition to decreasing the number of errors in interpretation. A web-based application was created to help radiologists calculate leg-length discrepancies. A time motion study was performed to evaluate if the calculator helped to decrease the time for interpretation and dictation of leg-length radiographs. Two radiologists each evaluated two sets of ten radiographs, one set using the traditional pen and paper method and the other set using the calculator. The time to interpret each study and the time to dictate each study were recorded. In addition, each calculation was checked for errors. When comparing the two methods of calculating the leg lengths, the manual method was significantly slower than the calculator for all time points measured: the mean time to calculate the leg-length discrepancy (131.8 vs. 59.7 s; p < 0.001), the mean time to dictate the report (31.8 vs. 11 s; p < 0.001), and the mean total time (163.7 vs. 70.7 s; p < 0.001). Reports created by the calculator were more accurate than reports created via the manual method (100 vs. 90%), although this result was not significant (p = 0.16). A calculator with a structured report generator significantly improved the time required to calculate and dictate leg-length discrepancy studies.
Literature
1.
go back to reference Ban N., et al.: Development of a web-based CT dose calculator: WAZA-ARI. Radiat Prot Dosimetry 147(1–2): p. 333–7,2011CrossRefPubMed Ban N., et al.: Development of a web-based CT dose calculator: WAZA-ARI. Radiat Prot Dosimetry 147(1–2): p. 333–7,2011CrossRefPubMed
2.
go back to reference Blackledge CG, Jr, et al.: Patient safety in emergency situations: a web-based pediatric arrest medication calculator. J Healthc Qual 28(2): p. 27–31,2006CrossRefPubMed Blackledge CG, Jr, et al.: Patient safety in emergency situations: a web-based pediatric arrest medication calculator. J Healthc Qual 28(2): p. 27–31,2006CrossRefPubMed
3.
go back to reference Smout EM, PT Seed, AH Shennan: The use and accuracy of manual and electronic gestational age calculators. Aust N Z J Obstet Gynaecol 52(5): p. 440–4,2012CrossRefPubMed Smout EM, PT Seed, AH Shennan: The use and accuracy of manual and electronic gestational age calculators. Aust N Z J Obstet Gynaecol 52(5): p. 440–4,2012CrossRefPubMed
4.
go back to reference Stultz JS, MC Nahata: Computerized clinical decision support for medication prescribing and utilization in pediatrics. J Am Med Inform Assoc 19(6): p. 942–53,2012CrossRefPubMedPubMedCentral Stultz JS, MC Nahata: Computerized clinical decision support for medication prescribing and utilization in pediatrics. J Am Med Inform Assoc 19(6): p. 942–53,2012CrossRefPubMedPubMedCentral
5.
go back to reference Larson DB, et al.: Improving consistency in radiology reporting through the use of department-wide standardized structured reporting. Radiology 267(1): p. 240–50,2013CrossRefPubMed Larson DB, et al.: Improving consistency in radiology reporting through the use of department-wide standardized structured reporting. Radiology 267(1): p. 240–50,2013CrossRefPubMed
6.
go back to reference Rao G.: Introduction of handheld computing to a family practice residency program. J Am Board Fam Pract 15(2): p. 118–22,2002PubMed Rao G.: Introduction of handheld computing to a family practice residency program. J Am Board Fam Pract 15(2): p. 118–22,2002PubMed
7.
go back to reference Ginzburg R, et al.: Effect of a weight-based prescribing method within an electronic health record on prescribing errors. Am J Health Syst Pharm 66(22): p. 2037–41,2009CrossRefPubMed Ginzburg R, et al.: Effect of a weight-based prescribing method within an electronic health record on prescribing errors. Am J Health Syst Pharm 66(22): p. 2037–41,2009CrossRefPubMed
8.
go back to reference Lehmann CU, KG Conner, JM Cox: Preventing provider errors: online total parenteral nutrition calculator. Pediatrics 113(4): p. 748–53,2004CrossRefPubMed Lehmann CU, KG Conner, JM Cox: Preventing provider errors: online total parenteral nutrition calculator. Pediatrics 113(4): p. 748–53,2004CrossRefPubMed
9.
go back to reference Lehmann CU, et al.: Decreasing errors in pediatric continuous intravenous infusions. Pediatr Crit Care Med 7(3): p. 225–30,2006CrossRefPubMed Lehmann CU, et al.: Decreasing errors in pediatric continuous intravenous infusions. Pediatr Crit Care Med 7(3): p. 225–30,2006CrossRefPubMed
10.
go back to reference Peverini RL, et al.: Graphical user interface for a neonatal parenteral nutrition decision support system. Proc AMIA Symp: p. 650–4,2000 Peverini RL, et al.: Graphical user interface for a neonatal parenteral nutrition decision support system. Proc AMIA Symp: p. 650–4,2000
11.
go back to reference Vardi A, et al.: Prevention of potential errors in resuscitation medications orders by means of a computerised physician order entry in paediatric critical care. Resuscitation 73(3): p. 400–6,2007CrossRefPubMed Vardi A, et al.: Prevention of potential errors in resuscitation medications orders by means of a computerised physician order entry in paediatric critical care. Resuscitation 73(3): p. 400–6,2007CrossRefPubMed
13.
go back to reference Soardi GA, et al.: Assessing probability of malignancy in solid solitary pulmonary nodules with a new Bayesian calculator: improving diagnostic accuracy by means of expanded and updated features. Eur Radiol 25(1): p. 155–62,2015CrossRefPubMed Soardi GA, et al.: Assessing probability of malignancy in solid solitary pulmonary nodules with a new Bayesian calculator: improving diagnostic accuracy by means of expanded and updated features. Eur Radiol 25(1): p. 155–62,2015CrossRefPubMed
14.
go back to reference Towbin AJ, SD Serai, D.J. Podberesky: Magnetic resonance imaging of the pediatric liver: imaging of steatosis, iron deposition, and fibrosis. Magn Reson Imaging Clin N Am 21(4): p. 669–80,2013CrossRefPubMed Towbin AJ, SD Serai, D.J. Podberesky: Magnetic resonance imaging of the pediatric liver: imaging of steatosis, iron deposition, and fibrosis. Magn Reson Imaging Clin N Am 21(4): p. 669–80,2013CrossRefPubMed
15.
go back to reference Towbin AJ, AT Trout, DJ Roebuck: Advances in oncologic imaging. Eur J Pediatr Surg 24(6): p. 474–81,2014CrossRefPubMed Towbin AJ, AT Trout, DJ Roebuck: Advances in oncologic imaging. Eur J Pediatr Surg 24(6): p. 474–81,2014CrossRefPubMed
16.
go back to reference Boos J, et al.: Dose monitoring using the DICOM structured report: assessment of the relationship between cumulative radiation exposure and BMI in abdominal CT. Clin Radiol 70(2): p. 176–82,2015CrossRefPubMed Boos J, et al.: Dose monitoring using the DICOM structured report: assessment of the relationship between cumulative radiation exposure and BMI in abdominal CT. Clin Radiol 70(2): p. 176–82,2015CrossRefPubMed
17.
go back to reference Mongkolwat P, et al.: The National Cancer Informatics Program (NCIP) Annotation and Image Markup (AIM) Foundation model. J Digit Imaging 27(6): p. 692–701,2014CrossRefPubMedPubMedCentral Mongkolwat P, et al.: The National Cancer Informatics Program (NCIP) Annotation and Image Markup (AIM) Foundation model. J Digit Imaging 27(6): p. 692–701,2014CrossRefPubMedPubMedCentral
18.
go back to reference Kahn CE Incorporating intelligence into structured radiology reports, 2014 Kahn CE Incorporating intelligence into structured radiology reports, 2014
19.
go back to reference Glover ML, JB Sussmane, Assessing pediatrics residents’ mathematical skills for prescribing medication: a need for improved training. Acad Med 77(10): p. 1007–10,2002CrossRefPubMed Glover ML, JB Sussmane, Assessing pediatrics residents’ mathematical skills for prescribing medication: a need for improved training. Acad Med 77(10): p. 1007–10,2002CrossRefPubMed
Metadata
Title
Use of a Web-Based Calculator and a Structured Report Generator to Improve Efficiency, Accuracy, and Consistency of Radiology Reporting
Authors
Alexander J. Towbin
C. Matthew Hawkins
Publication date
01-10-2017
Publisher
Springer International Publishing
Published in
Journal of Imaging Informatics in Medicine / Issue 5/2017
Print ISSN: 2948-2925
Electronic ISSN: 2948-2933
DOI
https://doi.org/10.1007/s10278-017-9967-4

Other articles of this Issue 5/2017

Journal of Digital Imaging 5/2017 Go to the issue