Representing Temporal Patterns in Computer-Interpretable Clinical Guidelines

Authors António Silva, Tiago Oliveira, Paulo Novais, José Neves



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António Silva
Tiago Oliveira
Paulo Novais
José Neves

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António Silva, Tiago Oliveira, Paulo Novais, and José Neves. Representing Temporal Patterns in Computer-Interpretable Clinical Guidelines. In 2015 Imperial College Computing Student Workshop (ICCSW 2015). Open Access Series in Informatics (OASIcs), Volume 49, pp. 62-69, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2015)
https://doi.org/10.4230/OASIcs.ICCSW.2015.62

Abstract

Computer-Interpretable Guidelines (CIGs) as machine-readable versions of clinical protocols have to provide appropriate constructs for the representation of different aspects of medical knowledge, namely administrative information, workflows of procedures, clinical constraints and temporal constraints. This work focuses on the latter, by aiming to develop a comprehensive representation of temporal constraints for machine readable formats of clinical protocols and provide a proper execution engine that deals with different time patterns and constraints placed on them. A model for the representation of time is presented for the CompGuide ontology in Ontology Web language (OWL) along with a comparison with the available formalisms in this field.
Keywords
  • Computer-Interpretable Guidelines
  • Temporal Constraints
  • Clinical Decision Support
  • Ontologies

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References

  1. Luca Anselma, Paolo Terenziani, Stefania Montani, and Alessio Bottrighi. Towards a Comprehensive Treatment of Repetitions, Periodicity and Temporal Constraints in Clinical Guidelines. Artificial Intelligence in Medicine, 38(2):171-195, 2006. Google Scholar
  2. Al Benson, Tanios Bekaii-Saab, Emily Chan, Yi-Jen Chen, Michael Choti, Harry Cooper, and Paul Engstrom. NCCN Clinical Practice Guideline in Oncology Colon Cancer. Technical report, National Comprehensive Cancer Network, 2013. Google Scholar
  3. Aziz a Boxwala, Mor Peleg, Samson Tu, Omolola Ogunyemi, Qing T Zeng, Dongwen Wang, Vimla L Patel, Robert a Greenes, and Edward H Shortliffe. GLIF3: A Representation Format for Sharable Computer-Interpretable Clinical Practice Guidelines. Journal of Biomedical Informatics, 37(3):147-61, June 2004. Google Scholar
  4. Rina Dechter, Itay Meiri, and Judea Pearl. Temporal constraint networks. Artificial intelligence, 49(1):61-95, 1991. Google Scholar
  5. Juan Fernandez-Olivares, Luis Castillo, Juan a. Cózar, and Oscar García Pérez. Supporting clinical processes and decisions by hierarchical planning and scheduling. Computational Intelligence, 27(1):103-122, 2011. Google Scholar
  6. John Fox and Richard Thomson Ma. Decision Support for Health Care : The PROforma Evidence Base. Informatics in Primary Care, 14(1):49-54, 2006. Google Scholar
  7. D Isern and A Moreno. Computer-based Execution of Clinical Guidelines: a Review. International Journal of Medical Informatics, 77(12):787-808, 2008. Google Scholar
  8. Mark A. Musen, Yuval Shahar, and Edward H. Shortliffe. Clinical decision-support systems. In EdwardH. Shortliffe and JamesJ. Cimino, editors, Biomedical Informatics, Health Informatics, pages 698-736. Springer New York, 2006. Google Scholar
  9. Tiago Oliveira, Paulo Novais, and José Neves. Representation of Clinical Practice Guideline Components in OWL. In Trends in Practical Applications of Agents and Multiagent Systems SE - 10, volume 221 of Advances in Intelligent Systems and Computing, pages 77-85. Springer International Publishing, 2013. Google Scholar
  10. A. K. Pani and G. P. Bhattacharjee. Temporal representation and reasoning in artificial intelligence: A review. Mathematical and Computer Modelling, 34(1-2):55-80, 2001. Google Scholar
  11. Mor Peleg. Computer-interpretable Clinical Guidelines: A Methodological Review. Journal of Biomedical Informatics, 46(4):744-63, 2013. Google Scholar
  12. Y Shahar, S Miksch, and P Johnson. The Asgaard Project: A Task-specific Framework for the Application and Critiquing of Time-oriented Clinical Guidelines. Artificial intelligence in Medicine, 14(1-2):29-51, 1998. Google Scholar
  13. Paolo Terenziani, Carlo Carlini, and Stefania Montani. Towards a comprehensive treatment of temporal constraints in clinical guidelines. In Proceedings of Ninth International Symposium on Temporal Representation and Reasoning 2002, pages 20-27. IEEE, 2002. Google Scholar
  14. Paolo Terenziani, Stefania Montani, Alessio Bottrighi, Mauro Torchio, Gianpaolo Molino, and Gianluca Correndo. The GLARE Approach to Clinical Guidelines: Main Features. Studies in Health Technology and Informatics, 101(3):162-6, 2004. Google Scholar
  15. S W Tu, J R Campbell, J Glasgow, M A Nyman, R McClure, J McClay, C Parker, K M Hrabak, D Berg, T Weida, and Others. The SAGE Guideline Model: Achievements and Overview. Journal of the American Medical Informatics Association, 14(5):589, 2007. Google Scholar
  16. Dongwen Wang, Mor Peleg, Samson W Tu, Aziz A Boxwala, Robert A Greenes, Vimla L Patel, and Edward H Shortliffe. Representation primitives, process models and patient data in computer-interpretable clinical practice guidelines: a literature review of guideline representation models. International Journal of Medical Informatics, 68(1-3):59-70, 2002. Google Scholar
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