A knowledge engineering framework towards clinical support for Adverse Drug Event prevention: The PSIP approach

Studies in Health Technology and Informatics

Volumn 148, Issue , 2009, Pages 131-141

  Koutkias, Vassilis ^a   Stalidis, George ^a   Chouvarda, Ioanna ^a   Lazou, Katerina ^a   Kilintzis, Vassilis ^a   Maglaveras, Nicos ^a  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

Author keywords

Adverse Drug Events; Clinical decision support; Guideline modelling; Knowledge engineering; Knowledge based system; Ontologies; Rules

Indexed keywords

CLINICAL RESEARCH; HEALTH CARE; HUMAN ENGINEERING; KNOWLEDGE BASED SYSTEMS; KNOWLEDGE ENGINEERING; ONTOLOGY; SAFETY ENGINEERING;

ADVERSE DRUG EVENTS; CLINICAL DECISION SUPPORT; CLINICAL DECISION SUPPORT SYSTEMS; HEALTH CARE PROFESSIONALS; KNOWLEDGE ENGINEERING APPROACH; REPRESENTATION FORMALISMS; RULES; STATE-OF-THE-ART TECHNOLOGY;

DECISION SUPPORT SYSTEMS;

EID: 71749115666     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-60750-043-8-131     Document Type: Conference Paper

References (15)

1. D.W. Bates et al., Detecting adverse events using Information Technology, J Am Med Inform Assoc 10(2) (2003), 115-28.
2. G. Schreiber, Knowledge Engineering, In: F. van Harmelen, V. Lifschitz, B. Porter (Eds.). Handbook of Knowledge Representation, Elsevier, 2008.
3. H.J. Murff, V.L. Patel, G. Hripcsak and D.W. Bates, Detecting adverse events for patient safety research: A review of current methodologies, J Biomed Inform 36(1-2) (2003), 131-43.
4. C. Bousquet, C. Henegar, A. Lillo-Le Louët, P. Degoulet and M.-C. Jaulent, Implementation of automated signal generation in pharmacovigilance using a knowledge-based approach, Int J Med Inform 74(7-8) (2005), 563-71.
5. C. Henegar, C. Bousquet, A. Lillo-Le Louët, P. Degoulet and M.-C. Jaulent, Building an ontology of adverse drug reactions for automated signal generation in pharmacovigilance, Comput Biol Med 36(7-8) (2006), 748-67.
6. I. Alecu, C. Bousquet, F. Mougin and M.C. Jaulent, Mapping of the WHO-ART terminology on SNOMED-CT to improve grouping of related adverse drug reactions, Stud Health Technol Inform 124 (2006), 833-8.
7. V.L. Payne and D.P. Metzler, Hospital Care Watch (HCW): An ontology and rule-based intelligent patient management assistant, In: Proc. of the 18th IEEE CBMS Symp., 2005, pp. 479-84.
8. S. Jeong and H.-G. Kim, Design of semantically interoperable adverse event reporting framework, In: The Semantic Web - ASWC 2006, Lecture Notes in Computer Science, vol. 4185, 2006, pp. 588-94, Springer-Verlag Berlin Heidelberg.
9. M.A. Musen, Y. Shahar and E.H. Shortliffe, Clinical Decision-Support Systems, In: E.H. Shortliffe (Ed.). Biomedical Informatics: Computer Applications in Health Care and Biomedicine, 2006, Springer-Verlag, 2006.
10. J.C. Wyatt, Management of explicit and tacit knowledge, J R Soc Med 94 (2001), 6-9.
11. A. Gómez-Pérez, M. Fernández-López and O. Corcho, Ontological engineering, Springer-Verlag, 2004.
12. A. Ligêza, Logical Foundations for Rule-Based Systems, Studies in Computational Intelligence, vol. 11, 2nd Ed., Springer-Verlag Berlin Heidelberg, 2006.
13. P.A. de Clercq, J.A. Blom, H.H.M. Korsten and A. Hasman, Approaches for creating computer-interpretable guidelines that facilitate decision support, Artif Intell Med 31(1) (2004), 1-27.
14. G. Schreiber et al., Knowledge Engineering and Management: The CommonKADS Methodology, MIT Press, 1999.
15. P.A. de Clercq, A. Hasman, J.A. Blom and H.H.M. Korsten, Design and implementation of a framework to support the development of clinical guidelines, Int J Med Inform 64(2-3) (2001), 285-318.