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A Mixed-Initiative Approach to the Conciliation of Clinical Guidelines for Comorbid Patients

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Knowledge Representation for Health Care (AIME 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9485))

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Abstract

The treatment of patients affected by multiple pathologies (comorbid patients) is one of the main challenges for the modern healthcare. Clinical practice guidelines provide evidence-based information about interventions considering only single pathologies. To support physicians in the treatment of comorbid patients, suitable methodologies must be devised. In our previous work, we have (i) devised an ontology of interactions, (ii) proposed a mixed-initiative approach (based on the ontology) to support physicians in the detection of interactions between guidelines, and (iii) extended our approach to consider the temporal dimension. In this paper, we move a step forward, by (iv) identifying a set of practical “management options” used by physicians in their daily practice to manage interactions between guidelines and (v) providing the methodologies to support physicians in the application of such management options in reconciling the guidelines. Finally, we also extend our approach to consider (vi) interactions between guideline recommendations and patient status. In such a way, we provide physicians with a framework for investigating different ways to reconcile guidelines, coping (with different modalities) with the focused interactions.

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Notes

  1. 1.

    Only those actions that are directly connected to int are returned, while their sub categories do not. Such a choice is adopted in order to limit the dimension of the output, making it manageable by user physicians.

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Acknowledgments

The work described in paper was partially supported by Compagnia di San Paolo, in the Ginseng project. The authors are also very indebted with Prof. Gianpaolo Molino for his continuous support and for many inspiring suggestions and comments.

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Authors and Affiliations

  1. Department of Computer Science, Università degli Studi di Torino, Turin, Italy

    Luca Piovesan

  2. DISIT, Institute of Computer Science, Università del Piemonte Orientale, Alessandria, Italy

    Paolo Terenziani

Authors
  1. Luca Piovesan
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  2. Paolo Terenziani
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Corresponding author

Correspondence to Luca Piovesan .

Editor information

Editors and Affiliations

  1. Universitat Rovira i Virgili, Tarragona, Spain

    David Riaño

  2. University of Erlangen and Nuremberg, Erlangen, Bayern, Germany

    Richard Lenz

  3. Vienna University of Technology, Vienna, Austria

    Silvia Miksch

  4. University of Haifa, Haifa, Israel

    Mor Peleg

  5. Ulm University, Ulm, Germany

    Manfred Reichert

  6. Vrije Universiteit Amsterdam, Amsterdam, Noord-Holland, The Netherlands

    Annette ten Teije

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Piovesan, L., Terenziani, P. (2015). A Mixed-Initiative Approach to the Conciliation of Clinical Guidelines for Comorbid Patients. In: Riaño, D., Lenz, R., Miksch, S., Peleg, M., Reichert, M., ten Teije, A. (eds) Knowledge Representation for Health Care. AIME 2015. Lecture Notes in Computer Science(), vol 9485. Springer, Cham. https://doi.org/10.1007/978-3-319-26585-8_7

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  • DOI: https://doi.org/10.1007/978-3-319-26585-8_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26584-1

  • Online ISBN: 978-3-319-26585-8

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