Skip to main content

Towards an Integration of Workflows and Clinical Guidelines: A Case Study

  • 965 Accesses

Part of the Lecture Notes in Computer Science book series (LNAI,volume 10022)

Abstract

The integration of workflows and guidelines modeling healthcare processes is a hot topic of research in Artificial Intelligence in Medicine, and is likely to provide a major advance in the IT support to healthcare [1]. In this position paper, we use a case study in order to identify commonalities and differences between workflows and guidelines. As a result of the analysis, we argue in favor of an integrated architecture in which workflow and guideline models are independently managed and supported, while integration is obtained through a mapping onto a system-internal format, where traditional AI-style inferential capabilities are supported.

Keywords

  • Knowledge representation
  • Clinical practice guidelines
  • Workflows
  • Integration
  • System architecture

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-319-47955-2_1
  • Chapter length: 11 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   64.99
Price excludes VAT (USA)
  • ISBN: 978-3-319-47955-2
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   84.99
Price excludes VAT (USA)
Fig. 1.
Fig. 2.
Fig. 3.

References

  1. Lenz, R., Reicher, M.: IT support for healthcare processes – premises, challenges, perspectives. Data Knowl. Eng. 61, 39–58 (2007)

    CrossRef  Google Scholar 

  2. Ten Teije, A., Miksch, S., Lucas, P. (Eds.): Computer-based medical guidelines and protocols: a primer and current trends. In: Studies in Health Technology and Informatics, vol. 139 (2008)

    Google Scholar 

  3. Peleg, M.: Computer-interpretable clinical guidelines: a methodological review. J. Biomed. Inf. 46(4), 744–763 (2013)

    CrossRef  Google Scholar 

  4. PROHealth 2009 Workshop program. http://mis.hevra.haifa.ac.il/~morpeleg/events/prohealth09/PROHealthProgram.html

  5. Fridsma, D.B.: Special issue on workflow management and clinical guidelines. JAMIA 22(1), 1–80 (2001)

    Google Scholar 

  6. Fox, J., Johns, N., Rahmanzadeh, A., Thomson, R.: Disseminating medical knowledge: the PROforma approach. Artif. Intell. Med. 14, 157–181 (1998)

    CrossRef  Google Scholar 

  7. Quaglini, S., Stefanelli, M., Cavallini, A., Micieli, G., Fassino, C., Mossa, C.: GL-based careflow systems. Artif. Intell. Med. 20(1), 5–22 (2000)

    CrossRef  Google Scholar 

  8. Mulyar, N., Pesic, M., van der Aalst, W.M.P., Peleg, M.: Towards the flexibility in clinical guideline modelling languages. BPM Center report BPM-07-04 (2007). BPMcenter.org

  9. Thao, L.L., Reichert, M., Dadam, P.: Integration and verification of semantic constraints in adaptive process management systems. Data Knowl. Eng. 64, 3–23 (2008)

    CrossRef  Google Scholar 

  10. Terenziani, P., Molino, G., Torchio, M.: A modular approach for representing and executing clinical guidelines. Artif. Intell. Med. 23, 249–276 (2001)

    CrossRef  Google Scholar 

  11. Terenziani, P., Montani, S., Bottrighi, A., Molino, G., Torchio, M.: Applying artificial intelligence to clinical guidelines: the GLARE approach. In: Computer-Based Medical Guidelines and Protocols: A Primer and Current Trends, in Studies in Health Technology and Informatics, vol. 139, pp. 273–282 (2008)

    Google Scholar 

  12. Femiano, S.: Analysis and restructuring processes of patient care in complex health systems. University of Turin, Ph.D. dissertation (2009)

    Google Scholar 

  13. Veronesi, A., Crivellari, D., Magri, M.D., Cartei, G., Mansutti, M., Foladore, S., Monfardini, S.: Vinorelbine treatment of advanced non-small cell lung cancer with special emphasis on elderly patients. Eur. J. Cancer 32(10), 1809–1811 (1996)

    CrossRef  Google Scholar 

  14. iGrafx.com: Unlocking the Potential of Business Process Management. http://portal.igrafx.com/downloads/documents/bpm_whitepaper.pdf

  15. Terenziani, P., Montani, S., Bottrighi, A., Torchio, M., Molino, G., Anselma, L., Correndo, G.: Applying artificial intelligence to clinical guidelines: the GLARE approach. In: Cappelli, A., Turini, F. (eds.) AI*IA 2003. LNCS, vol. 2829. Springer, Heidelberg (2003)

    Google Scholar 

  16. Anselma, L., Terenziani, P., Montani, S., Bottrighi, A.: Towards a comprehensive treatment of repetitions, periodicity and temporal constraints in clinical guidelines. Artif. Intell. Med. 38(2), 171–195 (2006)

    CrossRef  Google Scholar 

  17. Console, L., Terenziani, P.: Efficient processing of queries and assertions about qualitative and quantitative temporal constraints. Comput. Intell. 15(4), 442–465 (1999)

    CrossRef  Google Scholar 

  18. Bottrighi, A., Giordano, L., Molino, G., Montani, S., Terenziani, P., Torchio, M.: Adopting model checking techniques for clinical guidelines verification. Artif. Intell. Med. 48(1), 1–19 (2010)

    CrossRef  Google Scholar 

  19. Anselma, L., Bottrighi, A., Molino, G., Montani, S., Terenziani, P., Torchio, M.: Supporting knowledge-based decision making in the medical context: the GLARE approach. Int. J. Knowl.-Based Organ. 1(1), 42–60 (2011)

    CrossRef  Google Scholar 

  20. van der Aalst, W.M.P.: The application of petri nets to workflow management. J. Circuits Syst. Comput. 8(1), 21–66 (1998)

    CrossRef  Google Scholar 

  21. Grando, M.A., Glasspool, D.W., Fox, J.: Petri nets as a formalism for comparing expressiveness of workflow-based clinical guideline languages. In: Ardagna, D., Mecella, M., Yang, J. (eds.) Business Process Management Workshops. LNBIP, vol. 17, pp. 348–360. Springer, Heidelberg (2009)

    CrossRef  Google Scholar 

  22. Beccuti, M., Bottrighi, A., Franceschinis, G., Montani, S., Terenziani, P.: Modeling clinical guidelines through petri nets. In: Combi, C., Shahar, Y., Abu-Hanna, A. (eds.) AIME 2009. LNCS, vol. 5651, pp. 61–70. Springer, Heidelberg (2009)

    CrossRef  Google Scholar 

  23. Chiola, G., Dutheillet, C., Franceschinis, G., Haddad, S.: Stochastic well-formed colored nets for symmetric modelling applications. IEEE Trans. Comput. 42(11), 1343–1360 (1993)

    CrossRef  Google Scholar 

  24. Leone, N., Eiter, T., Faber, W., Fink, M., Gottlob, G., Greco, G.: Boosting information integration: the INFOMIX system. In: SEBD 2005, pp. 55–66

    Google Scholar 

  25. Leone, N., Greco, G., Ianni, G., Lio, V., Terracina, G., Eiter, T., Faber, W., Fink, M., Gottlob, G., Rosati, R., Lembo, D., Lenzerini, M., Ruzzi, M., Kalka, E., Nowicki, B., Staniszkis, W.: The INFOMIX system for advanced integration of incomplete and inconsistent data. In: SIGMOD Conference 2005, pp. 915–917

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Paolo Terenziani .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2016 Springer International Publishing AG

About this paper

Cite this paper

Terenziani, P., Femiano, S. (2016). Towards an Integration of Workflows and Clinical Guidelines: A Case Study. In: Montes y Gómez, M., Escalante, H., Segura, A., Murillo, J. (eds) Advances in Artificial Intelligence - IBERAMIA 2016. IBERAMIA 2016. Lecture Notes in Computer Science(), vol 10022. Springer, Cham. https://doi.org/10.1007/978-3-319-47955-2_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-47955-2_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47954-5

  • Online ISBN: 978-3-319-47955-2

  • eBook Packages: Computer ScienceComputer Science (R0)