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Virtual patient simulation method for learning and assessment in cardiology field

  • Ida Bagus Amertha Putra Manuaba ,
  • Ni Gusti Ayu Putu Lestari Santika Dewi ,
  • I Putu Yuda Prabawa ,
  • Agha Bhargah ,
  • Sri Darmayani ,
  • Chien-Chih Wu ,

Abstract

Virtual patient simulation (VPS) is an online computer simulation system that contains patients' clinical situation to train and realistically assess clinical abilities with supplemental animation, demonstration of anatomy, ECG tracing, etc. It can be used for teaching, learning, and assessment supports learning. Until now, it is difficult to ascertain how many VPS systems have been used today in the world, both for learning and assessment, especially in cardiology medicine field. We searched for all research using the term "virtual patient in medical education, virtual patient in cardiology & virtual patient simulation in cardiology" in the title or research abstract from 2014 until 2019. In this current review, we will describe the use of VPS for learning and assessment purposes in cardiology medicine field. 

References

  1. Restrepo AI, Gomez MT, Cifuentes G, Arguello A. The Virtual Patient as A Learning Tool: A Mixed Quantitative Qualitative Study. BMC Medical Education. 2018;18 (297):1-9.
  2. Fox K, Bradbury K, Curran I, Gammage M, Gray H, Holmberg B, Iqbal J, McNab D, Mills P, Nolan J. Working Group Report on Simulation-Based Learning. British: British Cardiovascular Society; 2011 [cited 2020 January 27]. Available from: www.bcs.com/documents/231_SBL_Report_BCSv7_FINAL.pdf
  3. Brunette V, Jarry NT. Simulation As A Tool to Ensure Competency and Quality of Care in The Cardiac Critical Care Unit. Canadian Journal of Cardiology. 2017;33(1):119-127.
  4. McCoy L. Virtual Patient Simulations for Medical Education: Increasing Clinical Reasoning Skills through Deliberate Practice (dissertation). Arizona: Arizona State University; 2014.
  5. Botezatu M, Hult H, Tessma MK, Fors U. Virtual Patient Simulation: Knowledge Gain or Knowledge Loss?. Medical Teacher. 2010;32:562-567.
  6. Botezatu M. Virtual Patient Simulation: Implementation and Use in Assessment. Karolinska Institutet. 2010;2:1-52.
  7. Poulton T, Balasubramaniam C. Virtual Patient: A Year of Change. Medical Teacher. 2011;33:933-936.
  8. Dafli E, Antoniou P, Ioannidis L, Dombros N, Topps D, Bamidis PD. Virtual Patients on the Semantic Web: A Proof-of-Application Study. J Med Internet Res. 2015;17(1):1-15.
  9. McKinney J, Scalese RJ, Hatala R. Simulation in Non-invasive Cardiology. In: Levine AI, DeMaria S, Schwartz AD, Sim A, editors. The Comprehensive Textbook of Healthcare Simulation. 1st ed. London: Springer; 2013. p. 289-297.
  10. Kononowicz AA, Narracott AJ, Manini S, Bayley MJ, Lawford PV, McCormack K, Zary N. A Framework for Different Levels of Integration of Computational Models Into Web-Based Virtual Patients. J Med Internet Res. 2014;16(1):1-13.
  11. Robison DG, Catalano JB, Matson CC. The Role for Virtual Patients in the Future of Medical Education. Academic Medicine. 2017;92(1):9.
  12. Dugas CM & Schussler JM. Advanced Technology in Interventional Cardiology-A Roadmap for the Future of Precision Coronary Interventions. Trends in Cardiovascular Medicine. 2016;26(5):1-25.
  13. Pereira D, Gomes P, Faria S, Correia C, Coimbra M. Teaching Cardiopulmonary Auscultation in Workshops Using a Virtual Patient Simulation Technology-A Pilot Study. IEEE Journal. 2016;3019-3022.
  14. Nedungadi P & Raman R. The Medical Virtual Patient Simulator (MedVPS) Platform. In: Berretti S, Thampi SM, Srivastava PR, editors. Intelligent Systems Technologies and Applications. India: Springer; 2016. p. 59-66.
  15. Trifonove D, Huntjens PR, Willemen E, Delhaas T, Lumens J. Virtual Patient Simulations for Cardiology Education and Research: A CircAdapt Perspective. BioDiscovery. 2018;21:e28591
  16. Lumens J, Delhaas T, Reesink K, Arts T, Dassen W. Creating Your Own Virtual Patient with CircAdapt Simulator. European Heart Journal. 2014;35:335-7.
  17. Chiastra C, Wu W, Dickerhoff B, Aleiou A, Dubini G, Otake H, Migliavacca F, LaDisa JF. Computational Replication of the Patient-Specific Stenting Procedure for Coronary Artery Bifurcations: From OCT and CT Imaging to Structural and Hemodynamics Analyses. Journal of Biomechanics. 2015;49(11):2102-2111.
  18. Kononowics AA, Woodham L, Georg C, Edelbring S, Stathakarou N, Davies D, Masiello I, Saxena N, Tudor CL, Car J, et al. Virtual Patient Simulations for Health Professional Education (Protocol). Cochrane Library. 2016;(5):1-8.
  19. Round J, Conradi E, Poulton T. Improving Assessment with Virtual Patients. Medical Teacher. 2009;31:759-763.
  20. Gunning WT, Fors UGH. Virtual Patients for Assessment of Medical Student Ability to Integrate Clinical and Laboratory Data to Develop Differential Diagnoses: Comparison of Results of Exams with/without Time Constraints. Medical Teacher. 2012;34:222-228.
  21. Criley JMV, Boker JR, Criley SR, Rajagopalan S, Criley JM. Using Virtual Patients to Improve Cardiac Examination Competency in Medical Students. Clin Cardiol. 2008;31(7):334-339.
  22. McCoy L, Pettit RK, Lewis JH, Allgood A, Bay C, Schwartz FN. Evaluating Medical Student Engagement During Virtual Patient Simulations: A Sequential, Mixed Methods Study. BMC Medical Education. 2016;16(20):1-14.

How to Cite

Putra Manuaba, I. B. A., Santika Dewi, N. G. A. P. L., Prabawa, I. P. Y., Bhargah, A., Darmayani, S., & Wu, C.-C. (2020). Virtual patient simulation method for learning and assessment in cardiology field. Bali Medical Journal, 9(3), 660–663. https://doi.org/10.15562/bmj.v9i3.2010

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Ida Bagus Amertha Putra Manuaba
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Ni Gusti Ayu Putu Lestari Santika Dewi
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I Putu Yuda Prabawa
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Agha Bhargah
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Sri Darmayani
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Chien-Chih Wu
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