Skip to main content

Stumbling Blocks of Utilizing Medical and Health Data: Success Factors Extracted from Australia–Japan Comparison

  • Conference paper
  • First Online:
Innovation in Medicine and Healthcare

Abstract

We have conducted comparative analysis of medical and health data utilization between Australia and Japan with OECD’s indicators: data governance readiness and high technical and operational readiness and three additional indicators: data analysis mechanism, security and privacy protection, and diffusion and coverage. Tamba City of Japan has succeeded in improving the efficiency of local medical. However, there are significant barriers to generating and utilizing new data and expanding the target area, and to make diversified professional utilize accumulated data. On the other hand, PCEHR, Australian nationwide EHR has been developed to utilize various data resources in an integrated manner with protecting individual’s data control right. However, data accumulation and utilization has not been promoted in early stage of implementation and faces of criticism for inadequate privacy measures. What is needed in common from the two cases is the need for a strategy that can be applied consistently through conception, development, and social implementation, and the introduction of a method that can quickly update according to the situation. The AIDAF is a suitable tool for this situation. It would be easier to overcome the barrier to diffusion and to avoid over-adaption to particular situations by developing a robust strategy for diffusion from the beginning and updating it flexibly according to the situation.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Barrows, R.C., Clayton, P.D.: Privacy, confidentiality, and electronic medical records (1996). https://academic.oup.com/jamia/article-abstract/3/2/139/708745, https://doi.org/10.1136/jamia.1996.96236282

  2. Wang, S.J., Middleton, B., Prosser, L.A., Bardon, C.G., Spurr, C.D., Carchidi, P.J., Kittler, A.F., Goldszer, R.C., Fairchild, D.G., Sussman, A.J., Kuperman, G.J., Bates, D.W.: A cost-benefit analysis of electronic medical records in primary care. Am. J. Med. 114, 397–403 (2003). https://doi.org/10.1016/S0002-9343(03)00057-3

    Article  Google Scholar 

  3. Miller, R.H., Sim, I.: Physicians’ use of electronic medical records: barriers and solutions. Health Aff. 23, 116–126 (2004). https://doi.org/10.1377/hlthaff.23.2.116

    Article  Google Scholar 

  4. OECD: Health in the 21st Century: putting data to work for stronger health systems (2019)

    Google Scholar 

  5. Fukami, Y., Masuda, Y.: Success factors for realizing regional comprehensive care by EHR with administrative data. In: Smart Innovation, Systems and Technologies, pp. 35–45. Springer (2019). https://doi.org/10.1007/978-981-13-8566-7_4

  6. Aceto, G., Persico, V., Pescapé, A.: The role of information and communication technologies in healthcare: taxonomies, perspectives, and challenges (2018)

    Google Scholar 

  7. International Organization for Standardization: ISO/TR 20514:2005—Health informatics—Electronic health record—Definition, scope and context (2005)

    Google Scholar 

  8. World Health Organization: Management of patient information: Trends and challenges in member states (2012)

    Google Scholar 

  9. Devkota, B., Devkota, A.: Electronic health records: advantages of use and barriers to adoption. Heal. Renaiss. 11, 181–184 (2014). https://doi.org/10.3126/hren.v11i3.9629

    Article  Google Scholar 

  10. Oderkirk, J.: Readiness of electronic health record systems to contribute to national health information and research (2017). https://doi.org/10.1787/9e296bf3-en

  11. National E-Health Transition Authority of Australia: High-Level System Architecture PCEHR System Version 1.35

    Google Scholar 

  12. Lwin, A.K., Shepard, D.S., Masuda, Y.: Monetary and health benefits from better health data: estimating lives and dollars saved from universal adoption of the leapfrog safety and quality standards. In: Innovation in Medicine and Healthcare Systems, and Multimedia, pp. 21–33. Springer (2019)

    Google Scholar 

  13. National E-Health Transition Authority of Australia: eHealth Reference Model (2014)

    Google Scholar 

  14. National E-Health Transition Authority of Australia: Interoperability Framework v2.0 (2007)

    Google Scholar 

  15. Masuda, Y., Shepard, D.S., Yamamoto, S.: Adaptive governance on electronic health record in a digital IT era. In: 25th Americas Conference on Information Systems, AMCIS 2019, pp. 1–10 (2019)

    Google Scholar 

  16. Grubb, B.: My health record’s privacy chief quits amid claims agency not listening (2018)

    Google Scholar 

  17. Dearne, K.: An analysis of Commonwealth Government annual reports covering e-health and PCEHR activities in 2013–2014 (2014)

    Google Scholar 

  18. Australian Digital Health Agency: Statistics and Insights: Mar 2019–Dec 2019 (2019)

    Google Scholar 

  19. Australian Digital Health Agency: Annual Report 2017–2018 (2017)

    Google Scholar 

  20. Cowan, P.: Most Australian GP clinics aren’t using e-health records (2016). https://www.itnews.com.au/news/mostaustralian-gp-clinics-arent-using-e-health-records-417807

  21. Black, A.S.: eHealth-as-a-Service: a service based design approach for large scale eHealth architecture (2018)

    Google Scholar 

  22. Masuda, Y., Viswanathan, M.: Enterprise Architecture for Global Companies in a Digital IT Era: Adaptive Integrated Digital Architecture Framework (AIDAF). Springer (2019). https://doi.org/10.1007/978-981-13-1083-6

  23. Masuda, Y., Shirasaka, S., Yamamoto, S., Hardjono, T.: Architecture board practices in adaptive enterprise architecture with digital platform. Int. J. Enterp. Inf. Syst. 14, 1–20 (2018). https://doi.org/10.4018/ijeis.2018010101

    Article  Google Scholar 

  24. Masuda, Y., Shirasaka, S., Yamamoto, S., Hardjono, T.: Risk management for digital transformation in architecture board: a case study on global enterprise. In: 2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI), pp. 255–262. IEEE (2017). https://doi.org/10.1109/IIAI-AAI.2017.79

Download references

Acknowledgment

This work was supported by JSPS Grant-in-Aid for Early-Career Scientists Grant Numbers JP18K12858.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yoshiaki Fukami .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Fukami, Y., Masuda, Y. (2020). Stumbling Blocks of Utilizing Medical and Health Data: Success Factors Extracted from Australia–Japan Comparison. In: Chen, YW., Tanaka, S., Howlett, R., Jain, L. (eds) Innovation in Medicine and Healthcare. Smart Innovation, Systems and Technologies, vol 192. Springer, Singapore. https://doi.org/10.1007/978-981-15-5852-8_2

Download citation

Publish with us

Policies and ethics