1. Alrahmani, L, Codsi, E, Borowski, KS: The current state of ultrasound training in obstetrics and gynecology residency programs. J Ultrasound Med. 2018;37(9):2201–2207. doi:10.1002/jum.14570.
Google Scholar | Crossref | Medline2. American Institute of Ultrasound in Medicine : Training guidelines for physicians who evaluate and interpret diagnostic ultrasound examinations of the female pelvis. https://www.aium.org/officialStatements/58. Published 2015. Accessed March 24, 2020.
Google Scholar3. American Institute of Ultrasound in Medicine : Training guidelines for physicians who evaluate and interpret diagnostic obstetric ultrasound examinations. https://www.aium.org/officialStatements/59. Published 2015. Accessed March 24, 2020.
Google Scholar4. Accreditation Council for Graduate Medical Education : Obstetrics and gynecology case logs national data report, 2017. https://www.acgme.org/globalassets/PDFs/220_National_Report_Program_Version_2017-2018.pdf.
Google Scholar5. Monsky, WL, Levine, D, Mehta, TS, et al: Using a sonographic simulator to assess residents before overnight call. AJR Am J Roentgenol. 2002;178(1):35–39. doi:10.2214/ajr.178.1.1780035.
Google Scholar | Crossref | Medline6. Osborne, B, Parange, N, Thoirs, K: The effectiveness of the use of high fidelity simulators in obstetric ultrasound training: a systematic review. Australas J Ultrasound Med. 2015;18(3):107–111. doi:10.1002/j.2205-0140.2015.tb00209.x.
Google Scholar | Crossref | Medline7. Mohammad, SH, Sommerich, CM, Butwin, AN, Evans, KD: Assessment of obstetrics and gynecology residents’ knowledge of basic obstetric sonography and psychomotor evaluation with motion analysis using a computer-based simulator. J Diagnostic Med Sonogr. 2020;36(4):312–321. doi:10.1177/8756479320919069.
Google Scholar | SAGE Journals | ISI8. Qurash, MT, Yaacob, NY, Azuan, N, Khaleel, YS, Zakaria, R: Special ultrasound phantom for interventional training: construction, advantages, and application. J Med Ultrasound. 2018;26(4):210–214. doi:10.4103/JMU.JMU_40_18.
Google Scholar | Crossref | Medline9. Lewiss, RE, Hoffmann, B, Beaulieu, Y, Phelan, MB: Point-of-care ultrasound education. J Ultrasound Med. 2014;33(1):27–32. doi:10.7863/ultra.33.1.27.
Google Scholar | Crossref | Medline10. Hughes, C, Anderson, G, Patterson, D, O’Prey, M: Introducing an obstetric emergency training strategy into a simulated environment. Br J Midwifery. 2014;22(3):201–207. doi:10.12968/bjom.2014.22.3.201.
Google Scholar | Crossref11. Young, JE, Williamson, MI, Egan, TG: Students’ reflections on the relationships between safe learning environments, learning challenge and positive experiences of learning in a simulated GP clinic. Adv Health Sci Educ Theory Pract. 2016;21(1):63–77. doi:10.1007/s10459-015-9611-3.
Google Scholar | Crossref | Medline12. Doyle, N : Ultrasound training in obstetrics and gynecology residency. Obstet Gynecol. 2018;132:45S. doi:10.1097/01.aog.0000546631.73422.e0.
Google Scholar | Crossref | Medline13. Mohammad, SH, Evans, KD, Bahner, D, Sommerich, CM: An interprofessional approach to targeted sonography training using computer-based simulation in medical students’ clinical training: a case series. J Diagnostic Med Sonogr. 2020;36(2):153–161. doi:10.1177/8756479319897891.
Google Scholar | SAGE Journals14. Burden, C, Preshaw, J, White, P, Draycott, TJ, Grant, S, Fox, R: Usability of virtual-reality simulation training in obstetric ultrasonography: a prospective cohort study. Ultrasound Obstet Gynecol. 2013;42(2):213–217. doi:10.1002/uog.12394.
Google Scholar | Crossref | Medline15. Gibbs, V : The role of ultrasound simulators in education: an investigation into sonography student experiences and clinical mentor perceptions. Ultrasound. 2015;23(4):204–211. doi:10.1177/1742271X15604665.
Google Scholar | SAGE Journals | ISI16. Madsen, ME, Konge, L, Nørgaard, LN, et al: Assessment of performance measures and learning curves for use of a virtual-reality ultrasound simulator in transvaginal ultrasound examination. Ultrasound Obstet Gynecol. 2014;44(6):693–699. doi:10.1002/uog.13400.
Google Scholar | Crossref | Medline17. Kusunose, K, Yamada, H, Suzukawa, RM, et al: CORRESPONDENCE effects of transthoracic echocardiographic simulator training on performance and satisfaction in medical students. J Am Soc Echocardiogr. 2016;29:375–377. doi:10.1016/j.echo.2015.12.002.
Google Scholar | Crossref | Medline18. Rosen, H, Windrim, R, Lee, YM, Gotha, L, Perelman, V, Ronzoni, S: Simulator based obstetric ultrasound training: a prospective, randomized single-blinded study. J Obstet Gynaecol Can. 2017;39(3):166–173. doi:10.1016/j.jogc.2016.10.009.
Google Scholar | Crossref | Medline19. Abuhamad, A, Minton, KK, Benson, CB, et al: Obstetric and gynecologic ultrasound curriculum and competency assessment in residency training programs: consensus report. J Ultrasound Med. 2018;37(1):19–50. doi:10.1002/jum.14519.
Google Scholar | Crossref | Medline20. Matyal, R, Mitchell, JD, Hess, PE, et al: Simulator-based transesophageal echocardiographic training with motion analysis: a curriculum-based approach. Anesthesiology. 2014;121(2):389–399. doi:10.1097/ALN.0000000000000234.
Google Scholar | Crossref | Medline21. Shakil, O, Mahmood, F, Matyal, R: Simulation in echocardiography: an ever-expanding frontier. J Cardiothorac Vasc Anesth. 2012;26(3):476–485. doi:10.1053/j.jvca.2012.01.019.
Google Scholar | Crossref | Medline22. Montealegre-Gallegos, M, Mahmood, F, Kim, H, et al: Imaging skills for transthoracic echocardiography in cardiology fellows: the value of motion metrics. Ann Card Anaesth. 2016;19(2):245–250. doi:10.4103/0971-9784.179595.
Google Scholar | Crossref | Medline23. Maul, H, Scharf, A, Baier, P, et al: Ultrasound simulators: experience with the SonoTrainer and comparative review of other training systems. Ultrasound Obstet Gynecol. 2004;24(5):581–585. doi:10.1002/uog.1119.
Google Scholar | Crossref | Medline24. Bernardi, V, Benzina, N, Hajal, NJ, Chalouhi, GE, Salomon, LJ, Ville, Y: OP20.08: obstetrical ultrasound simulator as a tool for improving teaching strategies for beginners. Ultrasound Obstet Gynecol. 2013;42(s1):107. doi:10.1002/uog.12897.
Google Scholar | Crossref25. Ambrose, SA, Bridges, MW, Dipietro, M, Lovett, MC, Norman, MK, Mayer, RE: How Learning Works: Seven Research-Based Principles for Smart Teaching, 2010. https://firstliteracy.org/wp-content/uploads/2015/07/How-Learning-Works.pdf.
Google Scholar