Advertisement

Wanted: automated objective proficiency assessment metrics for the FAST exam (and other POCUS studies)

  • Colin R. BellEmail author
  • Matthew S. Holden
Letter to the Editor
  • 20 Downloads

Notes

Compliance with ethical standards

Conflict of interest

The authors declare that they have no competing interests.

References

  1. 1.
    Zago M, Sforza C, Mariani D, Marconi M, Biloslavo A, La Greca A, et al. Educational impact of hand motion analysis in the evaluation of fast examination skills. Eur J Trauma Emerg Surg. 2019;45:1–8.Google Scholar
  2. 2.
    Dosis A, Aggarwal R, Bello F, Moorthy K, Munz Y, Gillies D, et al. Synchronized video and motion analysis for the assessment of procedures in the operating theater. Arch Surg. 2005;140(3):293–9.CrossRefGoogle Scholar
  3. 3.
    Clinkard D, Holden M, Ungi T, Messenger D, Davison C, Fichtinger G, et al. The development and validation of hand motion analysis to evaluate competency in central line catheterization. Acad Emerg Med. 2015;22(2):212–8.CrossRefGoogle Scholar
  4. 4.
    Ziesmann MT, Park J, Unger B, Kirkpatrick AW, Vergis A, Pham C, et al. Validation of hand motion analysis as an objective assessment tool for the focused assessment with sonography for trauma examination. J Trauma Acute Care Surg. 2015;79(4):631–7.CrossRefGoogle Scholar
  5. 5.
    Bell CR, McKaigney CJ, Holden M, Fichtinger G, Rang L. Sonographic accuracy as a novel tool for point-of-care ultrasound competency assessment. AEM Educ Train. 2017;1(4):316–24.CrossRefGoogle Scholar
  6. 6.
    Tabriz DM, Street M, Pilgram TK, Duncan JR. Objective assessment of operator performance during ultrasound-guided procedures. Int J Comput Assist Radiol Surg. 2011;6(5):641–52.CrossRefGoogle Scholar
  7. 7.
    Holden MS, Keri Z, Ungi T, Fichtinger G. Overall proficiency assessment in point-of-care ultrasound interventions: the stopwatch is not enough. In: Cardoso M, et al. editors. Imaging for patient-customized simulations and systems for point-of-care ultrasound Lecture notes in computer science, vol. 10549. Cham: Springer; 2017.Google Scholar
  8. 8.
    Holden MS KZ, Ungi T, Ring J, Yeo C, Fichtinger G. Zevin Reducing Cost and Complexity in Computer-Assisted Training for Breast Lumpectomy Kingston Ontario: PERK Lab; 2017. Available from: http://perk.cs.queensu.ca/contents/reducing-cost-and-complexity-computer-assisted-training-lumpectomy. Updated November. Accessed 28 Mar 2019.

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Emergency MedicineQueen’s UniversityKingston OntarioCanada
  2. 2.Malone Center for Engineering in HealthcareJohns Hopkins UniversityBaltimoreUSA

Personalised recommendations