Education and Information Technologies

, Volume 24, Issue 2, pp 1293–1309 | Cite as

Health informatics curriculum development for teaching and learning

  • Irja Shaanika
  • Tiko IyamuEmail author


Health Informatics is an emerging interdisciplinary subject of Health Sciences and Information Systems, which aimed to cater for both the educational and professional needs within the Health and Informatics fields. Even though there has been increasing interest in health informatics discipline, challenges continue to exist, particularly in developing countries such as Namibia. One of the main challenges in the discipline is shortage of skilled personnel, which is primarily caused by institutions of higher learning not producing enough graduates in the discipline. This results from the fact that many of the institutions do not offer or have curriculum for the course. Thus, this research examines how health informatics curriculum is developed at institutions of higher learning, to offer insight on the influencing factors. The qualitative methods and interpretive approach were employed in the research. This is an applied research that was carried out at the Namibia University of Science and Technology. The data was analysed by following the interpretive approach. Based on the analysis, a process-oriented approach is proposed. The approach identifies key stakeholders, and how different parties can contribute to a successful health informatics curriculum at institutions of higher learning. The framework may be of interest to health practitioners and academia in the area of health informatics.


Health informatics Information systems Curriculum development Interpretive approach Case study 



  1. Adams, S. A. (2010). Blog-based applications and health information: Two case studies that illustrate important questions for consumer health informatics (CHI) research. International Journal of Medical Informatics, 79(6), e89–e96.Google Scholar
  2. Ammenwerth, E., De Keizer, N., McNair, J., Craven, C., Eisenstein, E., Georgiou, A., et al. (2017). How to teach health IT evaluation: Recommendations for health IT evaluation courses. Studies in Health Technology and Informatics, 243(1), 3–7.Google Scholar
  3. Andreu-Perez, J., Poon, C. C., Merrifield, R. D., Wong, S. T., & Yang, G. Z. (2015). Big data for health. IEEE Journal of Biomedical and Health Informatics, 19(4), 1193–1208.Google Scholar
  4. Baskerville, R., Stage, J., & DeGross, I. (2000). Organizational and social perspective on information technology. The Netherland: Kluwer Academic Publisher.Google Scholar
  5. Bath, P. A. (2008). Health informatics: Current issues and challenges. Journal of Information Science, 34(4), 501–518.Google Scholar
  6. Bravenboer, D., & Lester, S. (2016). Towards an integrated approach to the recognition of professional competence and academic learning. Education and Training, 58(4), 409–421.Google Scholar
  7. Carl, A. (2005). The\" voice of the teacher\"in curriculum development: A voice crying in the wildernes. South African Journal of Education, 25(4), 223–228.Google Scholar
  8. Cervone, H. (2016). Perspectives on informatics in the health sciences for information professionals. Digital Library Perspectives, 32(4), 226–231.Google Scholar
  9. Chernikova, I., & Evangeline, V. (2016). Designing and delivering online curriculum in higher education: Riding the perfect storm. The International Journal of Information and. Learning Technology, 33(3), 132–141.Google Scholar
  10. Covvey, H. D., Zitner, D., Bernstein, R., & MacNeill, J. E. (2001a). The development of model curricula for health informatics. Studies in Health Technology and Informatics, 2, 1009–1013.Google Scholar
  11. Covvey, H. D., Zitner, D., & Rernstein, R. (2001b). Pointing the way: Competencies and curricula in health informatics (pp. 3–51). Waterloo, Ontario, Canada: University of Waterloo.Google Scholar
  12. Fang, R., Pouyanfar, S., Yang, Y., Chen, S.-C., & Iyengar, S. (2016). Computational health informatics in the big data age: A survey. ACM Computing Surveys, 49(1), 1–36.Google Scholar
  13. Garrib, A., Stoops, N., McKenzie, A., Dlamini, L., Govender, T., Rohde, J., & Herbst, K. (2008). An evaluation of the district health information system in rural South Africa. SAMJ, 98(7), 549–552.Google Scholar
  14. Gonzalo, J. D., Haidet, P., Blatt, B., & Wolpaw, D. R. (2016). Exploring challenges in implementing a health systems science curriculum: A qualitative analysis of student perceptions. Medical Education, 50(5), 523–531.Google Scholar
  15. Hamunyela, S. & Iyamu, T. (2013). Readiness assessment model for the deployment of health information systems in the Namibian- mohss, Proceedings of the 12th International Conference on Social Implications of Computers in Developing Countries, Ocho Rios, Jamaica. 842-852.Google Scholar
  16. Hancock, D. R., & Algozzine, B. (2006). Doing case study research: A practical guide for beginning researchers. New York: Teachers College Press.Google Scholar
  17. Herland, M., Khoshgoftaar, T., & Wald, R. (2014). A review of data mining using big data in health informatics. Journal of Big Data, 1(2), 2.Google Scholar
  18. Hersh, W. (2009). A stimulus to define informatics and health information technology. BMC Medical Informatics and Decision Making. pp. 1–6.Google Scholar
  19. Huang, Q. R. (2007). Competencies for graduate curricula in health, medical and biomedical informatics: A framework. Health Informatics Journal, 13(2), 89–103.Google Scholar
  20. Huizinga, T., Handelzalts, A., Nieveen, N., & Voogt, J. (2014). Teacher involvement in curriculum design: need for support to enhance teachers’ design expertise. Journal of Curriculum Studies, 46(1), 33–57.Google Scholar
  21. Iyamu, T. (2013). Underpinning theories: Order-of-use in information systems research. Journal of Systems and Information Technology, 15(3), 1–13.Google Scholar
  22. Iyamu, T., & Mgudlwa, S. (2017). Transformation of healthcare big data through the lens of actor network theory. International Journal of Healthcare Management, 1–11.Google Scholar
  23. Iyamu, T. & Adelakun, O. (2008). The Impact of non-Technical Factors on Information Technology Strategy and E-business, Proceedings of the 12th Pacific Asia Conference on Information Systems (PACIS), Suzhou, China.Google Scholar
  24. Jacobs, R., Lou, J., Ownby, R., & Caballero, J. (2016). A systematic review of eHealth interventions to improve health literacy. Health Informatics Journal, 22, 81–98.Google Scholar
  25. Kim, S., Syn, S., & Sinn, D. (2018). Exploratory study of personal health information management using health literacy model. Aslib Journal of Information Management, 70(1), 104–122.Google Scholar
  26. Kimaroa, C. H., & Nhampossa, J. (2007). The challenges of sustainability of health information systems in developing countries: Comparative case studies of Mozambique and Tanzania. Journal of HID, 1(1), 1–10.Google Scholar
  27. Kokol, P., Saranto, K., & Vošner, H. (2018). eHealth and health informatics competences: A systemic analysis of literature production based on bibliometrics. Kybernetes, 47(5), 1018–1030.Google Scholar
  28. Laguador, J., & Ramos, L. (2014). Industry-partners’ preferences for graduates: Input on curriculum development. Journal of Education and Literature, 1(1), 1–8.Google Scholar
  29. Ljuca F., Lozo S., Simunovic V., Bosse H., & Kadmon M. (2009). Chapter 11: Curriculum development.
  30. Luna, D., Almerares, A., Mayan, J. C., Gonzalez Bernaldo de Quiros, F., & Otero, C. (2014). Health informatics in developing countries: going beyond pilot practices to sustainable implementations: a review of the current challenges. Healthcare Informatics Research, 20(1), 3–10.Google Scholar
  31. Madathil, K. C., Rivera-Rodriguez, A. J., Greenstein, J. S., & Gramopadhye, A. K. (2015). Healthcare information on YouTube: A systematic review. Health Informatics Journal, 21(3), 173–194.Google Scholar
  32. Malik, M. A., & Khan, S. (2007). Health informatics training at the postgraduate level: A curriculum development exercise in Pakistan. Journal of Health Informatics in Developing Countries, 1(1), 16–18.Google Scholar
  33. Mantas, J., Ammenwerth, E., Demiris, G., Hasman, A., Haux, R., Hersh, W., Hovenga, E., Lun, K. C., Marin, H., & Martin-Sanchez, F. (2011). Recommendations of the international medical informatics association (IMIA) on education in biomedical and health informatics – First revision. EJBI, 7(2), 3–17.Google Scholar
  34. Martz, B., Zhang, X., & Ozanich, G. (2007). Developing an integrative health informatics graduate curriculum. Communications of the Association for Information Systems, 19, 645–654.Google Scholar
  35. McCuddy, M. K., Pinar, M., & Gingerich, E. F. (2008). Using student feedback in designing student-focused curricula. International Journal of Educational Management, 22(7), 611–637.Google Scholar
  36. MoHSS (2009). Ministry of health and social services strategic plan. Available at:
  37. Morgan, S., Pullon, S., Macdonald, L., McKinlay, E., & Gray, B. (2017). Case study observational research: a framework for conducting case study research where observation data are the focus. Qualitative Health Research, 27(7), 1060–1068.Google Scholar
  38. Mousavidin, E., & Leiser, S. (2017). Theorizing the configuration of modifiable off-the-shelf software. Information Technology & People, 30(4), 887–909.Google Scholar
  39. Murphy, J., Stramer, K., Clamp, S., Grubb, P., Gosland, J., & Davis, S. (2004). Health informatics education for clinicians and managers—what’s holding up progress? International Journal of Medical Informatics, 73(2), 205–213.Google Scholar
  40. Namibia. OPM. (2005). The e-governance policy for the public service of Namibia. Available at: // (Accessed 12 September, 2010).
  41. Polytechnic of Namiba. (2010). Strategic plan three -SP3. Available at:
  42. Poon, J., & Brownlow, M. (2015). Development of students’ commercial awareness within the curriculum of professionally accredited courses: A case study of property courses. Education and Training, 57(4), 405–428.Google Scholar
  43. Remillard, J. T. (1999). Curriculum materials in mathematics education reform: A framework for examining teachers' curriculum development. Curriculum Inquiry, 29(3), 315–342.Google Scholar
  44. Shen, X.-L., Li, Y. J., & Sun, Y. (2018). Wearable health information systems intermittent discontinuance: A revised expectation-disconfirmation model. Industrial Management & Data Systems, 118(3), 506–523.Google Scholar
  45. Sitlington, H., & Coetzer, A. (2015). Using the Delphi technique to support curriculum development. Eduaction and Training, 57(3), 306–321.Google Scholar
  46. Stefanidis, A., Fitzgerald, G., & Counsell, S. (2013). IS curriculum career tracks: A UK study. Education and Training, 55(3), 220–233.Google Scholar
  47. Stubbs, W., & Schapper, J. (2011). Two approaches to curriculum development for educating for sustainability and CSR. International Journal of Sustainability in Higher Education, 12(3), 259–268.Google Scholar
  48. Sullivan, F., & Wyatt, J. (2006). ABC of health informatics. USA: Massachusetts.Google Scholar
  49. Tilahun, B., Zeleke, A., Fritz, F., & Zegeye, D. (2014). New bachelor’s degree program in health informatics in Ethiopia: curriculum content and development approaches. PubMed Journals, 350(3), 798–802.Google Scholar
  50. Walsham, G. (1993). Interpreting information Systems in Organizations. Chichester: Wiley.Google Scholar
  51. Wiles, J., & Bondi, J. (1984). Curriculum development: A guide to practice (2nd ed.). US: Charles E. Merrill.Google Scholar
  52. Yin, R. K. (2017). Case study research and applications: Design and methods. Thousand Oaks: Sage publications.Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Information TechnologyCape Peninsula University of TechnologyCape TownSouth Africa

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