Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Patient-Generated EHR Input System Trials: An Analysis of Perceived Benefits Across a Range of Disease Groups Kapitel lesen Erstes Kapitel lesen

2014 | OriginalPaper | Buchkapitel

8. A Preventive Adverse Drug Events System

verfasst von : Zina Nakhla, Kaouther Nouira

Erschienen in: Concepts and Trends in Healthcare Information Systems

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

In this paper we propose the construction of a Preventive Adverse Drug Events (PADE) system. This system is based on a well structured data derived from a standard knowledge representation so called ontology. Such ontology is defined as a formal representation of terms related to specific domain, and has the characteristic to be updated each time when a change of the knowledge occurs. The idea is to automatically map the ontology and eventual changes on database using a set of rules. To demonstrate the relevance of the proposed approach, a comparison with current approaches (single table, dual scheme and OntoDB approaches) is performed.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Critical Success Factors in the Implementation of Integrated Healthcare Information Systems
Nächstes Kapitel Computational Modeling and Simulations in Life Sciences
Literatur
n. a. (2002) Integration de bases de donnees heterogenes par articulation a priori d’ontologies: application aux catalogues de composants industriels. PhD thesis Ecole Nationale Superieure de Mecanique et d’Aerotechnique
n. a. (2007) OntoQL, un langage d’exploitation des bases de donnees a base ontologique. PhD thesis, Ecole Nationale Superieure de Mecanique et d’Aerotechnique
Alexaki S, Christophides V, Karvounarakis G, Plexousakis D, Tolle K (2001) The ICS-FORTH RDFsuite: managing voluminous RDF description bases. In Proceedings of the 2nd International Workshop on the Semantic Web (SemWeb 2001), Hongkong, China, May 1, 2001
Bates DW, Lipsitz S, Metzger J, Welebob E, Classen DC (2010) Mixed results in the safety performance of computerized physician order entry. Health Aff 29(4):655–663CrossRef
Chandrasekaran B, Josephson JR, Benjamins VR (1999) What are ontologies, and why do we need them? IEEE Intell Syst Appl 14(1):20–26CrossRef
Cullot N, Ghawi R, Ytongnon K (2007) DB2OWL: a tool for automatic database- to-ontology mapping. In Proceeding of 15th Italian Symposium on Advanced Database Systems (SEBD 2007), pp 491–494, Torre Canne, Italy, 17–20 June 2007
Dehainsala H, Pierra G, Bellatreche L (2007) OntoDB: an ontology-based database for data intensive applications. In: In Proceedings of the 12th International Conference on Database Systems for Advanced Applications (DASFAA’07). LNCS, Springer, pp 497–508
Ding L, Kolari P, Ding Z, Avancha S, Joshi A (2005) Using ontologies in the semantic web: a survey. Technical Report -CS-05-07, UMBC, July 2005
Estival D, Nowak C, Zschorn A (2004) Towards ontology-based natural language processing. In Proceeedings of the Workshop on NLP and XML (NLPXML-2004): RDF/RDFS and OWL in Language Technology, NLPXML’04, Stroudsburg, PA, USA. Association for Computational Linguistics, pp 59–66
Gamberger D, Jovic A, Prcela Marin (2007) Ontologies in medical knowledge representation. In Proceedings of the ITI 2007 29th International Conference on Information Technology Interfaces, Cavtat, Croatia, pp 535–540
Gruber T (1995) Toward principles for the design of ontologies used for knowledge sharing? Int J Hum-Comput Stud 43(5–6):907–928CrossRef
Handler S, Altman R, Perera S, Hanlon J, Studenski S, Bost J, Saul M, Fridsma D (2007) A systematic review of the performance characteristics of clinical event monitor signals used to detect adverse drug events in the hospital setting. J Am Med Inform Assoc 14:451–458CrossRef
Hunt D, Haynes R, Hanna S, Smith K (1998) Effects of computer-based clinical decision support systems on physician performance and patient outcomes. JAMA 280:1339–1346CrossRef
Jean S, At-Ameur Y, Pierra G (2006) Querying ontology based database using otoql (an ontology query language). In: In Proceedings of OTM Confeder- Ated International Conferences (ODBASE06), pp 704–721
Koppel R, Metlay J, Cohen A, Abaluck B, Localio A, Kimmel S, Strom B (2005) Role of computerized physician order entry systems in facilitating medication errors. JAMA 293(10):1197–1203CrossRef
Lataief M, Mhamdi S, Asady R, Siddiqi S, Abdullatif A (2010) Adverse event in a Tunisian hospital: results of retrospective cohort study. Int J Qual Health Care 22(5):380–385CrossRef
Li J, Zhang L (2011) Automatic generation of ontology based on database. J Comput Inf Syst 7(4):1148–1154
Li G, Peng Q (2011) Using ontology and rough set building e-commerce knowledge management system. In: Jin D, Lin S (eds) CSISE (3), volume 106 of Advances in Soft Computing. Springer, pp 13–18
McBride B (2001) Jena: implementing the RDF model and syntax specification. In: Staab S (ed) Proceedings of the 2nd International Workshop on the Semantic Web—SemWeb’2001, volume 40 of CEUR-WS, Hongkong, China
McDonald H, Rosas-Arellano MP, Devereaux PJ, Beyene J, Sam J, Haynes RB, Garg AX, Adhikari NK (2005) Effects of computerized clinical decision support systems on practitioner performance and patient outcomes. JAMA 293(10):1223–1238CrossRef
Noy NF (2003) What do we need for ontology integration on the semantic web, position statement. In: Proceeding of the 1st semantic integration Ws., pp 175–176
Oliven A, Michalake I, Zalman D, Dorman E, Yeshurun D, Odeh M (2010) Prevention of prescription errors by computerized, on-line surveillance of drug order en entry. Int J Med Inform 74(5):377–386
Pierra G, Hondjack D, Ameur Y, Bellatreche L (2005) Bases de donnes base ontologique. Principe et mise en oeuvre. Ing Syst Inf 10(2):91–115
Schmidt-Schaub M, Smolka G (1991) Attributive concept descriptions with com-plements. Artif Intell 47:1–26CrossRef
Studer G, Richard B, Fensel D (1998) Knowledge engineering: principles and methods. Data Knowl Eng 25(1–2):161–197CrossRef
Tom G (1993) A translation approach to portable ontologies. Knowl Acquis 2(5):199–220
Wang S, Li M, Du XY (2006) Learning ontology from relational database. In Proceedings of the Fourth International Conference on Machine Learning and Cybernetics. IEEE Press, pp 3410–3415
Xiao-Yong DU, Wang S, Li Man (2006) A survey on ontology learning research. J Softw 17(9):1837–1847CrossRef
Zegher I, Venot A, Milstein C, Sene B, Carolis B, Pizzutilo S (1994) Optimization of drug prescription using advanced informatics. Comput Method Program Biomed 45(1–2):131–136CrossRef
Shen H, Hu J, Zhao J, Dong J (2012) Ontology-based modeling of emergency incidents and crisis management. Proceedings of the 9th international ISCRAM conference, Vancouver, Canada
Metadaten
Titel
A Preventive Adverse Drug Events System
verfasst von
Zina Nakhla
Kaouther Nouira
Copyright-Jahr
2014
Buch
Concepts and Trends in Healthcare Information Systems

Print ISBN: 978-3-319-06843-5

Electronic ISBN: 978-3-319-06844-2

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-3-319-06844-2_8