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Application of Hermeneutics in Understanding New Emerging Technologies in Health Care: An Example from mHealth Case Study

  • Zaid Sako
  • Sasan Adibi
  • Nilmini Wickramasinghe
Chapter
Part of the Healthcare Delivery in the Information Age book series (Healthcare Delivery Inform. Age)

Abstract

Information technology innovation continuum is creating new and innovative solutions for different industries. Particularly, the healthcare industry is witnessing a new era of innovation as new emerging technologies such as Mobile Health (mHealth) and wearable and sensor technologies are being introduced to fight and manage diseases at both global and individual level to deliver better health management platforms. These technologies are delivering innovative solutions through mobile devices that facilitate disease management, tracking of movement and location for fitness and exercise and tracking of different biological signs through smart sensors. These innovative solutions are empowering people and patients to be proactive in managing their health as devices act as a getaway for accessing healthcare services through the exchange of data and information. The exchange of data is through secure data transfer mechanisms between patients and healthcare professionals. The data contains valuable information, and it is the primary driver for the treatment of diseases and empowerment of individuals to self-manage their health (Fig. 3.1).

Keywords

Hermeneutics Research methodologies Qualitative research Interpretative studies Machine learning Data quality 

References

  1. Acker, A. (2015). Toward a hermeneutics of data. IEEE Annals of the History of Computing, 37(3), 70–75.  https://doi.org/10.1109/MAHC.2015.68.CrossRefGoogle Scholar
  2. Black, C. (2006). Pico’s heptaplus and biblical hermeneutics. Leiden: Brill.Google Scholar
  3. Boyatzis, R. E. (1998). Transforming qualitative information: Thematic analysis and code development. Thousand Oaks, CA: Sage Publications.Google Scholar
  4. Boydens, I., & van Hooland, S. (2011). Hermeneutics applied to the quality of empirical databases. Journal of Documentation, 67, 279–289.CrossRefGoogle Scholar
  5. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3, 77–101.CrossRefGoogle Scholar
  6. Butler, T. (1998). Towards a hermeneutic method for interpretive research in information systems. Journal of Information Technology, 13(4), 285.CrossRefGoogle Scholar
  7. Coelho, I. (2001). Hermeneutics and method: The ‘universal viewpoint’ in Bernard Lonergan. Toronto: University of Toronto Press.CrossRefGoogle Scholar
  8. Denzin, N. K., & Lincoln, Y. S. (2000). The handbook of qualitative research (2nd ed.). Thousand Oaks, CA: Sage Publications.Google Scholar
  9. Esterberg, K. G. (2002). Qualitative methods in social research (p. 119). Boston: McGraw-Hill.Google Scholar
  10. Fonseca, F. T., & Martin, J. E. (2005). Toward an alternative notion of information systems ontologies: Information engineering as a hermeneutic enterprise. Journal of the American Society for Information Science and Technology, 56(1), 46–57.  https://doi.org/10.1002/asi.20099.CrossRefGoogle Scholar
  11. Grbich, C. (2013). Qualitative data analysis: An introduction (2nd ed.). London; Thousand Oaks, CA: SAGE.Google Scholar
  12. Høiseth, M., & Keitsch, M. M. (2015). Using phenomenological hermeneutics to gain understanding of stakeholders in healthcare contexts. International Journal of Design, 9(3), 33–45.Google Scholar
  13. Introna, L. D. (2001). Hermeneutics and Meaning‐Making in Information Systems: Oxford University Press.CrossRefGoogle Scholar
  14. Kim, Y. S. (2013). Biblical interpretation: Theory, process, and criteria. Eugene, OR: Pickwick Publications.Google Scholar
  15. Klein, H. K., & Myers, M. D. (1999). A set of principles for conducting and evaluating interpretive field studies in information systems. MIS Quarterly, 23(1), 67–93.CrossRefGoogle Scholar
  16. Lee, A. S., & Dennis, A. R. (2012). A hermeneutic interpretation of a controlled laboratory experiment: A case study of decision-making with a group support system. Information Systems Journal, 22(1), 3–27.  https://doi.org/10.1111/j.1365-2575.2010.00365.x.CrossRefGoogle Scholar
  17. Robert, D. G., Wendy, L. C., & Lucas, D. I. (2011). Hermeneutics and meaning making in information systems. In The Oxford handbook of management information systems: Critical perspectives and new directions. Oxford: Oxford University Press.Google Scholar
  18. Schmidt, L. K. (2014). Understanding hermeneutics. Retrieved from http://deakin.eblib.com.au/patron/FullRecord.aspx?p=3060911
  19. Taylor, B. J., Francis, K., & Hegney, D. (2013). Qualitative research in the health sciences methodologies, methods and processes. London: Routledge.CrossRefGoogle Scholar
  20. Tkácik, L. (2016). Introduction to philosophical hermeneutics. Frankfurt, Germany: Peter Lang GmbH, Internationaler Verlag der Wissenschaften.CrossRefGoogle Scholar
  21. Yin, R. K. (2014). Case study research design and method (5th ed.). London: SAGE Publications.Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Zaid Sako
    • 1
    • 2
  • Sasan Adibi
    • 1
  • Nilmini Wickramasinghe
    • 1
    • 2
  1. 1.Deakin UniversityBurwoodAustralia
  2. 2.Epworth HealthCareRichmondAustralia

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