Abstract
The purpose of this study was to determine if any of the factors radiologist, examination category, time of week, and week effect PACS usage, with PACS usage defined as the sequential order of computer commands issued by a radiologist in a PACS during interpretation and dictation. We initially hypothesized that only radiologist and examination category would have significant effects on PACS usage. Command logs covering 8 weeks of PACS usage were analyzed. For each command trace (describing performed activities of an attending radiologist interpreting a single examination), the PACS usage variables number of commands, number of command classes, bigram repetitiveness, and time to read were extracted. Generalized linear models were used to determine the significance of the factors on the PACS usage variables. The statistical results confirmed the initial hypothesis that radiologist and examination category affect PACS usage and that the factors week and time of week to a large extent have no significant effect. As such, this work provides direction for continued efforts to analyze system data to better understand PACS utilization, which in turn can provide input to enable optimal utilization and configuration of corresponding systems. These continued efforts were, in this work, exemplified by a more detailed analysis using PACS usage profiles, which revealed insights directly applicable to improve PACS utilization through modified system configuration.
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References
Weiss DL, Siddiqui KM, Scopelliti J: Radiologist assessment of PACS user interface devices. J Am Coll Radiol 3:265–273, 2006
Atkins MS, Fernquist J, Kirkpatrick AE, Forster BB: Evaluating interaction techniques for stack mode viewing. J Digit Imaging 22:369–382, 2009
Lidén M, Andersson T, Geijer H: Alternative user interface devices for improved navigation of CT datasets. J Digit Imaging 24:126–134, 2011
Goo JM, Choi JY, Im JG, et al: Effect of Monitor Luminance and Ambient Light on Observer Performance in Soft-Copy Reading of Digital Chest Radiographs. Radiology 232:762–766, 2004
Nagy P, Siegel EL, Hanson T, Kreiner L, Johnson K, Reiner B: PACS reading room design. Semin Roentgenol 38:244–255, 2003
Siddiqui KM, Chia S, Knight N, Siegel EL: Design and ergonomic considerations for the filmless environment. J Am Coll Radiol 3:456–467, 2006
Goyal N, Jain N, Rachapalli V: Ergonomics in radiology. Clin Radiol 64:119–126, 2009
Hugine A, Guerlain S, Hedge A: User evaluation of an innovative digital reading room. J Digit Imaging 25:337–346, 2012
Horii SC, Feingold ER, Kundel HL, et al: PACS Workstation functions: usage differences between radiologists and MICU physicians. Med Imaging Int Soc Opt Photon 2711:266–271, 1996
Erickson BJ, Ryan WJ, Gehring DG, Beebe C: Clinician usage patterns of a desktop radiology information display application. J Digit Imaging 11:137–141, 1998
Erickson BJ, Ryan WJ, Gehring DG: Functional requirements of a desktop clinical image display application. J Digit Imaging 14:149–152, 2001
Forsberg D, Rosipko B, Sunshine JL: Analyzing PACS Usage Patterns by Means of Process Mining: Steps Toward a More Detailed Workflow Analysis in Radiology. J Digit Imaging 29:47–58, 2016
Li X, Xue Y, Malin B: Towards understanding the usage pattern of web-based electronic medical record systems. World of Wireless, Mobile and Multimedia Networks (WoWMoM). 2011 I.E. Int Symp on a 1–7, 2011
Jameson A: Adaptive interfaces and agents. In: Human-Computer Interaction: Design Issues, Solutions, and Applications. 2009
Reiner B: Automating radiologist workflow, part 2: hands-free navigation. J Am Coll Radiol 5:1137–1141, 2008
Zheng K, Padman R, Johnson MP, Diamond HS: An interface-driven analysis of user interactions with an electronic health records system. J Am Med Inform Assoc 16:228–237, 2009
Gregg Jr, WB, Randolph M, Brown DH, Lyles T, Smith SD, D’Agostino H: Using PACS audit data for process improvement. J Digit Imaging 23:674–680, 2010
van der Aalst WM: Business alignment: using process mining as a tool for Delta analysis and conformance testing. Requir Eng 10:198–211, 2005
Dijkman R, Dumas M, van Dongen B, Käärik R, Mendling J: Similarity of business process models: Metrics and evaluation. Inf Syst 36:498–516, 2011
van der Aalst WM: Process cubes: Slicing, dicing, rolling up and drilling down event data for process mining. In Asia Pacific Business Process Management. 1–22, 2013
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D. Forsberg is supported by a grant (2014–01422) from the Swedish Innovation Agency (VINNOVA).
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D. Forsberg is an employee of Sectra, a PACS vendor.
B. Rosipko has nothing to disclose.
J. Sunshine has nothing to disclose.
IRB Statement
This study was considered as exempt from review by our institutional review board as part of a larger quality project in our department.
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Forsberg, D., Rosipko, B. & Sunshine, J.L. Factors Affecting Radiologist’s PACS Usage. J Digit Imaging 29, 670–676 (2016). https://doi.org/10.1007/s10278-016-9881-1
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DOI: https://doi.org/10.1007/s10278-016-9881-1