Skip to main content
Log in

Impact of Patient Photos on Detection Accuracy, Decision Confidence and Eye-Tracking Parameters in Chest and Abdomen Images with Tubes and Lines

  • Published:
Journal of Digital Imaging Aims and scope Submit manuscript

Abstract

To minimize errors in imaging studies, a camera system was developed that acquires images of patients simultaneously with radiographic images. Thirty-seven chest/abdomen portable radiographs showing central lines, orogastric/nasogastric/endotracheal tubes with patient photographs were viewed by six radiologists while eye-position was recorded. They indicated whether each line/tube was present/absent and rated confidence. Images were shown in three conditions: radiograph only, small, or large photograph with radiograph. There was greater accuracy in detecting tubes with photographs present and decision confidence was generally higher with the photographs. For the eye-tracking parameters, total viewing time, number of fixations, and number of times observers transferred viewing from radiograph to photograph differed as function of whether a photograph was present or absent as well as photograph size. Adding patient photographs to radiographic interpretation of chest and abdomen films can aid in the detection of tubes/lines. If photograph size is large enough, it takes an average of only 3 extra seconds to view compared to the radiograph alone and adds significant confidence to decisions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. The Joint Commission. 2019 National Patient Safety Goals. 2018, https://www.jointcommission.org/standards_information/npsgs.aspx Last accessed 26 December 2018

  2. The Joint Commission. 2019 National Patient Safety Goals NPSG.01.01.01. 2018, https://www.jointcommission.org/assets/1/6/NPSG_Chapter_AHC_Jan2018.pdf Last accessed 26 December 2018

  3. The Joint Commission Patient Safety Goals 2019. https://www.jointcommission.org/hap_2017_npsgs/ Last accessed 6 March 2019

  4. National Quality Forum. Improving Diagnostic Quality and Safety Final Report. 2107. https://www.qualityforum.org/Publications/2017/09/Improving_Diagnostic_Quality_and_Safety_Final_Report.aspx Last accessed 26 December 2018

  5. Sadigh G, Loehfelm T, Applegate KE, Tridandapani S: Evaluation of near-miss wrong-patient events in radiology reports. Am J Roentgen 205:337–343, 2015

    Article  Google Scholar 

  6. Rubio EI, Hogan L: Time-out: it’s radiology’s turn – incidence of wrong-patient or wrong-study errors. Am J Roentgen 205:941–946, 2015

    Article  Google Scholar 

  7. Ramamurthy S, Bhatti P, Arepalli CD, Salama M, Provenzale JM, Tridandapani T: Integrating patient digital photographs with medical imaging examinations. J Digit Imag 26:875–885, 2013

    Article  Google Scholar 

  8. Tridandapani S, Ramamurthy S, Galgano SJ, Provenzale JM: Increasing rate of detection of wrong-patient radiographs: use of photographs obtained at time of radiography. Am J Roentgen 200:W345–W352, 2013

    Article  Google Scholar 

  9. Tridandapani S, Ramamurthy S, Provenzale JM, Obuchowski NA, Evanoff MG, Bhatti P: A multiobserver study of the effects of including point-of-care patient photographs with portable radiography: a means to detect wrong-patient errors. Acad. Radiol 21:1038–1047, 2014

    Article  PubMed  PubMed Central  Google Scholar 

  10. Krupinski EA, Chung A, Applegate K, DeSimone AK, Tridandapani S: Impact of patient photographs on radiologists’ visual search of chest radiographs. Acad Radiol 23:953–960, 2016

    Article  PubMed  Google Scholar 

  11. Sadigh G, Applegate KE, Ng TW, Hendrix KA, Tridandapani S: Stakeholders’ perceptions regarding the use of patient photographs integrated with medical imaging studies. J Digit Imag 29:341–346, 2016

    Article  Google Scholar 

  12. Jensen L, Meyer C: Reducing errors in portable chest radiography. Applied Radiol 44:7–15, 2015

    Google Scholar 

  13. Waite S, Scott J, Gale B, Fuchs T, Kolla S, Reede D: Interpretative error in radiology. Am J Roentgen 208:739–749, 2017

    Article  Google Scholar 

  14. Fuentealba I, Taylor GA: Diagnostic error with inserted tubes, lines and catheters in children. Ped Radiol 42:1305–3115, 2012

    Article  Google Scholar 

  15. Nodine CF, Liu H, Miller WT, Kundel HL: Observer performance in the localization of tubes and catheters on digital chest images: the role of expertise and image enhancement. Acad Radiol 3:834–841, 1996

    Article  CAS  PubMed  Google Scholar 

  16. Nodine CF, Kundel HL, Toto LC, Krupinski EA: Recording and analyzing eye-position data using a microcomputer workstation. Behav Res Methods Instrum Comp 24:475–485, 1992

    Article  Google Scholar 

Download references

Disclaimer

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

Funding

This material is based upon work supported by the National Science Foundation under Grant No. 1647687.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Elizabeth A. Krupinski.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Krupinski, E.A. Impact of Patient Photos on Detection Accuracy, Decision Confidence and Eye-Tracking Parameters in Chest and Abdomen Images with Tubes and Lines. J Digit Imaging 32, 827–831 (2019). https://doi.org/10.1007/s10278-019-00202-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10278-019-00202-6

Keywords

Navigation