Journal of Medical Systems

, 39:97 | Cite as

Computer Applications in Health Science Education

  • Juan A. Juanes
  • Pablo Ruisoto
Education & Training
Part of the following topical collections:
  1. Medical Education: Learning from the Inside Out Through Digital Tools


In recent years, computer application development has experienced exponential growth, not only in the number of publications but also in the scope or contexts that have benefited from its use. In health science training, and medicine specifically, the gradual incorporation of technological developments has transformed the teaching and learning process, resulting in true “educational technology”. The goal of this paper is to review the main features involved in these applications and highlight the main lines of research for the future. The results of peer reviewed literature published recently indicate the following features shared by the key technological developments in the field of health science education: first, development of simulation and visualization systems for a more complete and realistic representation of learning material over traditional paper format; second, portability and versatility of the applications, adapted for an increasing number of devices and operative systems; third, increasing focus on open source applications such as Massive Open Online Course (MOOC).


Visualization Open source OS MOOC 


Conflict of Interest

Nothing to declare.


  1. 1.
    Ruisoto, P., Juanes, J., and Prats, A., Enhancing neuroanatomy education using computer-based instructional material. Comp Hum Behavior 31:446–452, 2013. doi: 10.1016/j.chb.2013.03.005.CrossRefGoogle Scholar
  2. 2.
    Ruisoto, P., Juanes, J. A., Contador, I., Mayoral, P., and Prats-Galino, A., Experimental evidence for improved neuroimaging interpretation using threedimensional graphic models. Anat Sci Ed. 5:132–137, 2012. doi: 10.1002/ase.1275.CrossRefGoogle Scholar
  3. 3.
    Lau, F., and Bates, J., A review of e-learning practices for undergraduate medical education. J Med Syst 28(1):71–87, 2004.CrossRefPubMedGoogle Scholar
  4. 4.
    Martínez-Pérez, B., de la Torre-Díez, I., and López-Coronado, M., Privacy and security in mobile health apps: a review and recommendations. J Med Sys 39:181–89, 2014.CrossRefGoogle Scholar
  5. 5.
    Lin, C. F., Mobile telemedicine: a survey study. J Med Syst 36:511–20, 2012.CrossRefPubMedGoogle Scholar
  6. 6.
    Juanes, J. A., Ruisoto, P., Prats-Galino, A., Framiñán, A., and Riesco, J. M., Computed anatomical modelling of the optic pathway and oculomotor system using magnetic resonance imaging. J Neuroradiol 41(3):168–76, 2014. doi: 10.1016/j.neurad.2013.06.005.CrossRefPubMedGoogle Scholar
  7. 7.
    Nowinski, W., and Chua, B. C., Stroke atlas: a 3D interactive tool correlating cerebrovascular pathology with underlying neuroanatomy and resulting neurological deficits. Neuroradiol J 26(1):56–65, 2013.CrossRefPubMedGoogle Scholar
  8. 8.
    Nowinski, W. L., and Chua, B. C., Bridging neuroanatomy, neuroradioloy and neurology: three-dimensional interactive atlas of neurological disorders. Neuroradiol J 26(3):252–62, 2013.CrossRefPubMedGoogle Scholar
  9. 9.
    Lobb, A., and McDonell, S., Technology can improve public health education. American Journal of Public Health 99(3):391–391, 2009.CrossRefGoogle Scholar
  10. 10.
    Goldman, R. H., Cohen, A. P., and Sheahan, F., Using seminar blogs to enhance student participation and learning in public health school classes. Am J Public Health. 98:1658–1663, 2008.PubMedCentralCrossRefPubMedGoogle Scholar
  11. 11.
    Aungst, T. D., Clauson, K. A., Misra, S., Lewis, T. L., and Husain, I., How to identify, assess and utilise mobile medical applications in clinical practice. Int J Clin Pract 68(2):155–62, 2014. doi: 10.1111/ijcp.12375.CrossRefPubMedGoogle Scholar
  12. 12.
    Aungst, T. D., Medical applications for pharmacist using mobile devices. Ann Pharmacother 47(7–8):1088–95, 2013. doi: 10.1345/aph.1S035.CrossRefPubMedGoogle Scholar
  13. 13.
    Moodley, A., Mangino, J. E., and Goff, D. A., Review of infectious diseases applications for iPhone/iPad and android: from pocket to patient. Clin Infect Dis 57(8):1145–54, 2013. doi: 10.1093/cid/cit455.CrossRefPubMedGoogle Scholar
  14. 14.
    Zaki, M., and Drazin, D., Smartphone use in neurosurgery? APP-solutely! Surg Neurol Int. 5:113, 2014. doi: 10.4103/2152-7806.137534.PubMedCentralCrossRefPubMedGoogle Scholar
  15. 15.
    Brewer, A. C., Endly, D. C., Henley, J., Amir, M., Sampson, B. P., Moreau, J. F., and Dellavalle, R. P., Mobile applications in dermatology. JAMA Dermatol 149(11):1300–4, 2013. doi: 10.1001/jamadermatol.2013.5517.CrossRefPubMedGoogle Scholar
  16. 16.
    Bhatia, A. C., Itss right there in your hand: underuse of mobile applications in dermatology. JAMA Dermatol 149(11):1305, 2013. doi: 10.1001/jamadermatol.2013.6641.CrossRefPubMedGoogle Scholar
  17. 17.
    Ellaway, R., The informal and hidden curricula of mobile device use in medical education. Med Teach 36(1):89–91, 2014. doi: 10.3109/0142159X.2014.862426.CrossRefPubMedGoogle Scholar
  18. 18.
    Boruff, J. T., and Storie, D., Mobile devices in medicine: a survey of how medical students, residents, and faculty use smartphones and other mobile devices to find information. J Med Libr Assoc 102(1):22–30, 2014. doi: 10.3163/1536-5050.102.1.006.PubMedCentralCrossRefPubMedGoogle Scholar
  19. 19.
    Székely, A., Talanow, R., and Bágyi, P., Smartphones, tablets and mobile applications for radiology. Eur J Radiol 82(5):829–36, 2013. doi: 10.1016/j.ejrad.2012.11.034.CrossRefPubMedGoogle Scholar
  20. 20.
    Borton, J. K. S., Oakes, M. A., Van Wyk, M. E., and Zink, T. A., Using PsyScope to conduct IAT experiments on macintosh computers. Behavior Research Methods 39(4):789–796, 2007.CrossRefPubMedGoogle Scholar
  21. 21.
    Peirce, J. W., PsychoPy - psychophysics software in python. J Neurosci Methods 162(1–2):8–13, 2007. doi: 10.1016/j.jneumeth.2006.11.017.PubMedCentralCrossRefPubMedGoogle Scholar
  22. 22.
    Peirce, J. W., Generating stimuli for neuroscience using PsychoPy. Front Neuroinform 2(2):10, 2009. doi: 10.3389/neuro.11.010.2008.PubMedCentralPubMedGoogle Scholar
  23. 23.
    Mathôt, S., Schreij, D., and Theeuwes, J., OpenSesame: an open-source, graphical experiment builder for the social sciences. Behavior Research Methods 44(2):314–324, 2012. doi: 10.3758/s13428-011-0168-7.PubMedCentralCrossRefPubMedGoogle Scholar
  24. 24.
    Rosset, A., Spadola, L., and Ratib, O., OsiriX: an open-source software for navigating in multidimensional DICOM images. Journal of Digital Imaging 17(3):205–216, 2014.CrossRefGoogle Scholar
  25. 25.
    The Visualization Toolkit (VTK):, Accessed March 18, 2015.
  26. 26.
    The Insight Segmentation and Registration Toolkit (ITK):, Accessed March 18, 2015
  27. 27.
    Fedorov, A., Beichel, R., Kalpathy-Cramer, J., Finet, J., Fillion-Robin, J.-C., Pujol, S., Bauer, C., Jennings, D., Fennessy, F., Sonka, M., Buatti, J., Aylward, S. R., Miller, J. V., Pieper, S., and Kikinis, R., 3D slicer as an image computing platform for the quantitative imaging network. Magn Reson Imaging 30(9):1323–41, 2012.PubMedCentralCrossRefPubMedGoogle Scholar
  28. 28.
    Gyles, C., Is there a MOOC in your future? The Canadian Veterinary Journal 54(8):721–724, 2013.PubMedCentralGoogle Scholar
  29. 29.
    Liyanagunawardena, T. R., and Williams, S. A., Massive open online courses on health and medicine: review. Eysenbach G, ed. Journal of Medical Internet Research 16(8), e191, 2014. doi: 10.2196/jmir.3439.PubMedCentralCrossRefPubMedGoogle Scholar
  30. 30.
    Liyanagunawardena, T. R., Adams, A. A., and Williams, S. A., MOOCs: a systematic study of the published literature 2008–2012. International Review of Research in Open and Distance Learning 14(3):201–227, 2013.Google Scholar
  31. 31.
    Hoy, M. B., MOOCs 101: an introduction to massive open online courses. Med Ref Serv Q 33(1):85–91, 2014. doi: 10.1080/02763869.2014.866490.CrossRefPubMedGoogle Scholar
  32. 32.
    Paton, C., Massive open online course for health informatics education. Healthcare Informatics Research 20(2):81–87, 2014. doi: 10.4258/hir.2014.20.2.81.PubMedCentralCrossRefPubMedGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.University of SalamancaSalamancaSpain

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