Skip to main content

Analyzing Clinical Practice Guidelines Using a Decidable Metric Interval-Based Temporal Logic

  • Conference paper
Book cover FM 2014: Formal Methods (FM 2014)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8442))

Included in the following conference series:

Abstract

A Clinical Practice Guideline defines best practices to be followed by clinicians to manage a particular disease. Checking the quality of such guidelines is a very important issue, e.g., designers of the guidelines should ensure their consistency. A formal modelling approach is an appropriate choice due to the complexity of these guidelines. In this paper, we develop a metric interval-based temporal logic, which is suitable for such modelling and then propose a method for checking the satisfiability of such guidelines, to assure their consistency. As a case study, we use the logic to model a real-life guideline, the Active Tuberculosis Diagnosis guideline.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Sciavicco, G., Juarez, J.M., Campos, M.: Quality checking of medical guidelines using interval temporal logics: A case-study. In: Mira, J., Ferrández, J.M., Álvarez, J.R., de la Paz, F., Toledo, F.J. (eds.) IWINAC 2009, Part II. LNCS, vol. 5602, pp. 158–167. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  2. de Clercq, P.A., Blom, J.A., Korsten, J.H.M., Hasman, A.: Approaches for creating computer-interpretable guidelines that facilitate decision support. Artificial Intelligence in Medicine 31, 1–27 (2004)

    Article  Google Scholar 

  3. Tu, S.W., Musen, M.A.: A flexible approach to guideline modelling. In: Proc. AMIA Symp., p. 420 (1999)

    Google Scholar 

  4. Damas, C., Lambeau, B., van Lamsweerde, A.: Transformation operators for easier engineering of medical process models. In: 5th International Workshop on Software Engineering in Health Care (SEHC), pp. 39–45. IEEE Press (2013)

    Google Scholar 

  5. Christov, S., Chen, B., Avrunin, G.S., Clarke, L.A., Osterweil, L.J., Brown, D., Cassells, L., Mertens, W.: Formally defining medical processes. Methods of Information in Medicine 47(5), 392 (2008)

    Google Scholar 

  6. Lucas, P.: Quality checking of medical guidelines through logical abduction. In: Coenen, F., Preece, A., Macintosh, A. (eds.) Research and Development in Intelligent Systems XX, pp. 309–321. Springer, London (2004)

    Chapter  Google Scholar 

  7. Hommersom, A., Lucas, P., Balser, M.: Meta-level verification of the quality of medical guidelines using interactive theorem proving. In: Alferes, J.J., Leite, J. (eds.) JELIA 2004. LNCS (LNAI), vol. 3229, pp. 654–666. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  8. Goranko, V., Montanari, A., Sciavicco, G.: Propositional interval neighbourhood temporal logics. J. UCS 9(9), 1137–1167 (2003)

    MathSciNet  Google Scholar 

  9. Bresolin, D., Della Monica, D., Goranko, V., Montanari, A., Sciavicco, G.: Decidable and undecidable fragments of halpern and shoham’s interval temporal logic: Towards a complete classification. In: Cervesato, I., Veith, H., Voronkov, A. (eds.) LPAR 2008. LNCS (LNAI), vol. 5330, pp. 590–604. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  10. Temporal logic, http://en.wikipedia.org/wiki/temporal_logic

  11. Halpern, J.Y., Shoham, Y.: A Propositional Modal Logic of Time Intervals. J. of the ACM 38(4), 935–962 (1991)

    Article  MATH  MathSciNet  Google Scholar 

  12. Allen, J.F.: Maintaining knowledge about temporal intervals. Communications of the ACM 26(11), 832–843 (1983)

    Article  MATH  Google Scholar 

  13. Goranko, V., Montanari, S., Sciavicco, G., Bresolin, D., Della Monica, D.: Metric propositional neighbourhood logics. Technical report, European Conference on Artificial Intelligence (ECAI) (2010)

    Google Scholar 

  14. Goranko, V., Montanari, A., Sala, P., Sciavicco, G.: A general tableau method for propositional interval temporal logics: Theory and implementation. J. of Applied Logic 4(3), 305–330 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  15. Toward Optimized Practice - Alberta: Active tuberculosis: Diagnosis and management guideline (2011)

    Google Scholar 

  16. Yousef Sanati, M., MacCaull, W., Maibaum, T.S.E.: Analyzing Clinical Practice Guidelines Using a Decidable Metric Interval-based Temporal Logic. Technical report, McMaster Centre for Software Certification, McMaster University (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Yousef Sanati, M., MacCaull, W., Maibaum, T.S.E. (2014). Analyzing Clinical Practice Guidelines Using a Decidable Metric Interval-Based Temporal Logic. In: Jones, C., Pihlajasaari, P., Sun, J. (eds) FM 2014: Formal Methods. FM 2014. Lecture Notes in Computer Science, vol 8442. Springer, Cham. https://doi.org/10.1007/978-3-319-06410-9_41

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-06410-9_41

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06409-3

  • Online ISBN: 978-3-319-06410-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics