Advertisement

NFC-Based Task Enactment for Automatic Documentation of Treatment Processes

  • Florian StertzEmail author
  • Juergen Mangler
  • Stefanie Rinderle-Ma
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 287)

Abstract

In nursing homes documentation is a mandatory yet time consuming task: typically, nurses document their work after performing the treatments at the end of their shifts which might lead to a decline in the quality of the documentation. The utilization of process-oriented technology in the care domain has already been shown to have high potential in support for documentation of treatment tasks. We want to further this idea, by transforming physical objects into smart objects through equipping them with NFC tags. They can then be used to automatically register their usage with NFC readers specific to care residents. Our analysis shows that many treatment tasks are using care utilities and are candidates for automatic task documentation. We present three scenarios for automatic documentation in nursing homes, an implementation through a proof-of-concept prototype, and an evaluation through expert interviews in the care domain. The interviews indicate an average decrease in documentation time per shift of more than 60%.

Keywords

Business process ecosystem Transformative technologies NFC Automation Care domain 

References

  1. 1.
    Implementation of NANDA nursing diagnose... [Comput. nurs. 1998 Nov-Dec] - PubMed - NCBI. http://www.ncbi.nlm.nih.gov/pubmed/9844258
  2. 2.
    Agrawal, P., Bhuraria, S.: Near field communication. SETLabs Bridfings 10(1), 67–74 (2012)Google Scholar
  3. 3.
    Anju, K., Mathew, A., Antony, J., Joy, S., Vijayan, B., Santhoshkumar, G.: Business process reengineering of the workflows in intensive care unit supported with a tablet pc based automation system. In: Advances in Computing and Communications, pp. 265–268 (2013)Google Scholar
  4. 4.
    Baumgrass, A., Cabanillas, C., Di Ciccio, C.: A conceptual architecture for an event-based information aggregation engine in smart logitics. In: Enterprise Modelling and Information Systems Architectures, pp. 109–123 (2015)Google Scholar
  5. 5.
    Chow, H.K., Choy, K., Lee, W.: A dynamic logistics process knowledge-based system an RFID multi-agent approach. Knowl.-Based Syst. 20(4), 357–372 (2007)CrossRefGoogle Scholar
  6. 6.
    Dolin, R.H., Alschuler, L., Beebe, C., Biron, P.V., Boyer, S.L., Essin, D., Kimber, E., Lincoln, T., Mattison, J.E.: The hl7 clinical document architecture. J. Am. Med. Inform. Assoc. 8(6), 552–569 (2001)CrossRefGoogle Scholar
  7. 7.
    Greiner, U., Ramsch, J., Heller, B., Loffler, M., Muller, R., Rahm, E.: Adaptive guideline-based treatment workflows with AdaptFlow. Studies in health technology and informatics, pp. 113–117 (2004)Google Scholar
  8. 8.
    Grob, K., Stocker, J., Colwell, R.: Assurance of compliance within the production chain of food contact materials by good manufacturing practice and documentation part 1: legal background in Europe and compliance challenges. Food Control 20(5), 476–482 (2009)CrossRefGoogle Scholar
  9. 9.
    Grossmann, W., Rinderle-Ma, S.: Fundamentals of Business Intelligence. Data-Centric Systems and Applications. Springer, Heidelberg (2015)CrossRefGoogle Scholar
  10. 10.
    Gunter, E.L., Yasmeen, A., Gunter, C., Nguyen, A., et al.: Specifying and analyzing workflows for automated identification and data capture. In: Hawaii International Conference on System Sciences, pp. 1–11 (2009)Google Scholar
  11. 11.
    Horsky, J., Gutnik, L., Patel, V.L.: Technology for emergency care: cognitive and workflow considerations. In: AMIA Annual Symposium Proceedings, vol. 2006, p. 344 (2006)Google Scholar
  12. 12.
    Jefferies, D., Johnson, M., Griffiths, R.: A meta-study of the essentials of quality nursing documentation. Int. J. Nurs. Pract. 16, 112–124 (2010)CrossRefGoogle Scholar
  13. 13.
    Kaes, G., Mangler, J., Stertz, F., Vigne, R., Rinderle-Ma, S.: ACaPlan - adaptive care planning. In: BPM Demo, pp. 11–15 (2015)Google Scholar
  14. 14.
    Kato, H., Tan, K.: 2D barcodes for mobile phones. In: 2nd International Conference on Mobile Technology, Applications and Systems, p. 8 (2005)Google Scholar
  15. 15.
    Lee, W., Kaiser, G.E., Clayton, P.D., Sherman, E.H.: OzCare: a workflow automation system for care plans. In: AMIA Annual Fall Symposium, p. 577 (1996)Google Scholar
  16. 16.
    Mangler, J., Rinderle-Ma, S.: CPEE - cloud process execution engine. In: International Conference on Business Process Management (2014). CEUR-WS.org
  17. 17.
    Müller, R., Greiner, U., Rahm, E.: AgentWork: a workflow system supporting rule-based workflow adaptation. Data Knowl. Eng. 51(2), 223–256 (2004)CrossRefGoogle Scholar
  18. 18.
    Poulymenopoulou, M., Malamateniou, F., Vassilacopoulos, G.: Emergency healthcare process automation using mobile computing and cloud services. J. Med. Syst. 36(5), 3233–3241 (2012)CrossRefGoogle Scholar
  19. 19.
    Prud’Hommeaux, E., Seaborne, A., et al.: SPARQL query language for RDF. W3C recommendation 15 (2008)Google Scholar
  20. 20.
    Robertson, S., Robertson, J.: Mastering the requirements process: getting requirements right. Addison-wesley (2012)Google Scholar
  21. 21.
    Schulte, S., Schuller, D., Steinmetz, R., Abels, S.: Plug-and-play virtual factories. IEEE Internet Comput. 16(5), 78–82 (2012)CrossRefGoogle Scholar
  22. 22.
    Stertz, F.: Sensor supported automatic workflow enactment for treatment processes. Master’s thesis, Medical University of Vienna (2016)Google Scholar
  23. 23.
    Want, R.: An introduction to RFID technology. Pervasive Comput. 5, 25–33 (2006)CrossRefGoogle Scholar
  24. 24.
    Wieringa, R.: Design Science Methodology for Information Systems and Software Engineering. Springer, Heidelberg (2015)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Florian Stertz
    • 1
    Email author
  • Juergen Mangler
    • 1
  • Stefanie Rinderle-Ma
    • 1
  1. 1.Faculty of Computer ScienceUniversity of ViennaViennaAustria

Personalised recommendations