Abstract
Analyzing conformance of execution traces with clinical guidelines is not a trivial task, because guidelines are developed for physicians who should always interpret them according to their general knowledge; their application to the specific conditions of a patient or a specific context cannot always be foreseen in the guideline specification. In this paper we consider the conformance problem not only for the sequence of action execution events, but also for their timing: the guideline may include temporal constraints for the execution of actions, and its adaptation to a specific patient and context may add or modify conditions and temporal constraints for actions. We propose an approach for analyzing execution traces in Answer Set Programming with respect to a guideline and Basic Medical Knowledge, pointing out discrepancies – including temporal discrepancies – with respect to the different knowledge sources.
This research is partially supported by Compagnia di San Paolo.
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Notes
- 1.
Actually, the recommendations in [6] explicitly mention acute chest infection as one of the conditions to be checked and, if necessary, treated, to avoid delaying surgery too much; but they also mention, without detailing them, less common concerns which may require delaying surgery: we consider chest infection like one of these.
- 2.
In some cases there is a deadline, e.g. for a diagnostic action that should be performed within a given time after the first episode of a symptom. Such deadlines can be dealt with as the other ones, but, again, for simplicity, we ignore them in the following.
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Acknowledgement
The authors are grateful to Gianpaolo Molino for his valuable advice on the medical issues in the paper.
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Spiotta, M., Terenziani, P., Theseider Dupré, D. (2015). Answer Set Programming for Temporal Conformance Analysis of Clinical Guidelines Execution. 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_5
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