Vision Paper for Enabling Digital Healthcare Applications in OHP2030

  • Tetsuya Toma
  • Yoshimasa MasudaEmail author
  • Shuichiro Yamamoto
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 98)


Internets of Things (IoT) and Big Data applications and services have spread and are rapidly being deployed in the information services of the healthcare and financial industries, etc. However, the previous paper suggested that the current IoT services were individually developed, therefore, the open platform and architecture for the above IoT services of the healthcare industries should be deemed necessary, while the Big Data applications prevail in healthcare industry gradually. An open healthcare platform is expected to promote and implement the digital IT applications for healthcare communities efficiently. In this paper, we suggest that various IoT and Big Data applications will be designed and verified while the open platform for healthcare related IoT services should be proposed and verified by the research initiative named “Open Healthcare Platform 2030 – OHP2030”. In addition, the vision paper for enabling Digital Healthcare applications in the above OHP2030 research initiative is explained.


Digital healthcare Enterprise Architecture Internet of things Big data Digital platform Digital IT 


  1. 1.
    Alwadain, A., Fielt, E., Korthaus, A., Rosemann, M.: A comparative analysis of the integration of SOA elements in widely-used enterprise architecture frameworks. Int. J. Intell. Inf. Technol. 9(2), 54–70 (2014)CrossRefGoogle Scholar
  2. 2.
    Boardman, S., Harrington, E.: Open Group Snapshot - Open Platform 3.0™. The Open Group (2015)Google Scholar
  3. 3.
    Buckl, S., Matthes, F., Schulz, C., Schweda, C.M.: Exemplifying a framework for interrelating enterprise architecture concerns. In: Sicilia, M.A., Kop, C., Sartori, F. (eds.) Ontology, Conceptualization and Epistemology for Information Systems, Software Engineering and Service Science, vol. 62, pp. 33–46. Springer, Heidelberg (2010). Scholar
  4. 4.
    Chen, H., Kazman, R., Perry, O.: From software architecture analysis to service engineering: an empirical study of methodology development for enterprise SOA implementation. IEEE Trans. Serv. Comput. 3(2), 145–160 (2014). Scholar
  5. 5.
    Familiar, B.: Microservices, IoT and Azure: Leveraging DevOps and Microservice Architecture to Deliver SaaS Solutions. Apress, Berkeley (2015)CrossRefGoogle Scholar
  6. 6.
    Gill, A.Q., Smith, S., Beydoun, G., Sugumaran, V.: Agile enterprise architecture: a case of a cloud technology-enabled government enterprise transformation. In: Proceedings of the 19th Pacific Asia Conference on Information Systems (PACIS 2014), pp. 1–11 (2014)Google Scholar
  7. 7.
    Gill, A.Q.: Adaptive cloud Enterprise Architecture. Intelligent Information Systems, vol. 4. World Scientific Publishing Co., Singapore (2015)CrossRefGoogle Scholar
  8. 8.
    Khan, K.M., Gangavarapu, N.M.: Addressing cloud computing in enterprise architecture: issues and challenges. Cut. IT J. 22(11), 27–33 (2009)Google Scholar
  9. 9.
    MacKenzie, C.M., Laskey, K., McCabe, F., Brown, P.F., Metz, R.: Reference model for service oriented architecture 1.0, Technical report, Advancing Open Standards for the Information Society (2006)Google Scholar
  10. 10.
    Masuda, Y., Shirasaka, S., Yamamoto, S.: Integrating mobile IT/cloud into enterprise architecture: a comparative analysis. In: Proceedings of the 21st Pacific Asia Conference on Information Systems (PACIS 2016), Taiwan, paper 4 (2016)Google Scholar
  11. 11.
    Muhammad, K., Khan, M.N.A.: Augmenting mobile cloud computing through enterprise architecture: survey paper. Int. J. Grid Distrib. Comput. 8(3), 323–336 (2015)CrossRefGoogle Scholar
  12. 12.
    Newman, S.: Building Microservices. O’Reilly Media, Inc., Sebastopol (2015)Google Scholar
  13. 13.
    Richards, M.: Microservices vs. Service-Oriented Architecture, 1st edn. O’Reilly Media, Inc., Sebastopol (2015)Google Scholar
  14. 14.
    Tamm, T., Seddon, P.B., Shanks, G., Reynolds, P.: How does enterprise architecture add value to organizations? Commun. Assoc. Inf. Syst. 28, 141–168 (2011). Article 10Google Scholar
  15. 15.
    Masuda, Y., Shirasaka, S., Yamamoto, S., Hardjono, T.: An adaptive enterprise architecture framework and implementation: Towards global enterprises in the era of cloud/mobile IT/digital IT. Int. J. Enterp. Inf. Syst. IJEIS 13(3), 1–22 (2017). 22 p.CrossRefGoogle Scholar
  16. 16.
    Chappelle, D.: Big Data & Analytics Reference Architecture. Oracle Corp, September 2013Google Scholar
  17. 17.
    US Department of Commerce, NIST Big Data Interoperability Framework: Reference Architecture Version 1 (2015)Google Scholar
  18. 18.
    Kein, J., Buglak, R., Blockow, D., Wuttke, T.: A Reference architecture for big data systems in the national security domain. In: The 2nd International Workshop on Big Data Software Engineering (2016)Google Scholar
  19. 19.
  20. 20.
    Mysore, D., Khupat, S., Jain, S.: Big Data Architecture and Patterns. IBM, White Paper (2013)Google Scholar
  21. 21.
  22. 22.
    Pääkkönen, P., Pakkala, D.: Reference architecture and classification of technologies, products and services for big data systems. Big Data Res. 2, 166–186 (2015)CrossRefGoogle Scholar
  23. 23.
    Masuda, Y., Shirasaka, S., Yamamoto, S., Hardjono, T.: Architecture board practices in adaptive enterprise architecture with digital platform: a case of global healthcare enterprise. Int. J. Enterp. Inf. Sys. 14(1), 1–20 (2018)CrossRefGoogle Scholar
  24. 24.
    Dunbrack, L., Burghard, C., Lohse, S., Rivikin, J., Fitzgerrald, S.: IDC’s Worldwide Digital Transformation Use Case Taxonomy, 2017: Healthcare. IDC (2017)Google Scholar
  25. 25.
    Ellis, S., Fitzgerald, S., Knickie, K., Santagate, J., Hojlo, J., Ashton, H., Parker, R.: IDC’s Worldwide Digital Transformation Use Case Taxonomy, 2017: Brand-Oriented Value Chains in the Manufacturing Industry. IDC (2017)Google Scholar
  26. 26.
    Porter, M.E.: Redefining Health Care: Creating Value-Based Competition on Results. Harvard Business School, Spring Leadership Meeting, Boston, MA, June 2005Google Scholar
  27. 27.
    Patel, P., Cassou, D.: Enabling High-level Application Development for the Internet of Things. CoRR abs/1501.05080, submitted to Journal of Systems and Software (2015)CrossRefGoogle Scholar
  28. 28.
    Iacob, M.E., et al.: Delivering Business Outcome with TOGAF® and ArchiMate®, eBook BiZZdesign (2015)Google Scholar
  29. 29.
    Johnson, P., et al.: IT Management with Enterprise Architecture. KTH, Stockholm (2014)Google Scholar
  30. 30.
    The Open Group: TOGAF Version 9.1. Van Haren Publishing (2011)Google Scholar
  31. 31.
    The Open Group: Archimate 2.0 Specification. Van Haren Publishing (2012)Google Scholar
  32. 32.
    Zimmermann, A., Schmidt, R., Sandkuhl, K., Jugel, D.: Digital enterprise architecture – transformation for the internet of things. In: IEEE 19th International Enterprise Distributed Object Computing Workshop (EDOCW) (2015)Google Scholar
  33. 33.
    Ross, J.W., Weill, P., Robertson, D.C.: Enterprise Architecture as Strategy. Harvard Business School Press (2006)Google Scholar
  34. 34.
    Weill, P., Ross, J.W.: IT Governance: How Top Performers Manage It Decision Rights for Superior Results. Harvard Business School Press (2004)Google Scholar
  35. 35.
    WSO2: White Paper: A Reference Architecture for the Internet of Things, Version 0.8.0 (2015)

Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Tetsuya Toma
    • 1
  • Yoshimasa Masuda
    • 1
    Email author
  • Shuichiro Yamamoto
    • 2
  1. 1.Graduate School of System Design and ManagementCarnegie Mellon UniversityYokohamaJapan
  2. 2.Graduate School of Information ScienceNagoya UniversityNagoyaJapan

Personalised recommendations