Methods Inf Med 2011; 50(01): 62-73
DOI: 10.3414/ME10-02-0016
Special Topic – Original Articles
Schattauer GmbH

An Evolutionary Approach to Realism-based Adverse Event Representations

W. Ceusters
1   Center of Excellence in Bioinformatics & Life Sciences, Buffalo, NY, USA
2   Department of Psychiatry, University at Buffalo, NY, USA
,
M. Capolupo
3   Independent consultant, Buffalo, NY, USA
,
G. de Moor
4   Research in Advanced Medical Informatics and Telematics (RAMIT) vzw, University of Gent, Gent, Belgium
,
J. Devlies
4   Research in Advanced Medical Informatics and Telematics (RAMIT) vzw, University of Gent, Gent, Belgium
,
B. Smith
1   Center of Excellence in Bioinformatics & Life Sciences, Buffalo, NY, USA
5   Department of Philosophy, University at Buffalo, NY, USA
› Author Affiliations
Further Information

Publication History

received: 15 February 2010

accepted: 26 August 2010

Publication Date:
18 January 2018 (online)

Summary

Background: Part of the ReMINE project involved the creation of an ontology enabling computer-assisted decision support for optimal adverse event management.

Objectives: The ontology was required to satisfy the following requirements: 1) to be able to account for the distinct and context-dependent ways in which authoritative sources define the term ‘adverse event’, 2) to allow the identification of relevant risks against patient safety (RAPS) on the basis of the disease history of a patient as documented in electronic health records, and 3) to be compatible with present and future ontologies developed under the Open Biomedical Ontology (OBO) Foundry framework.

Methods: We used as feeder ontologies the Basic Formal Ontology, the Foundational Model of Anatomy, the Ontology for General Medical Science, the Information Artifact Ontology and the Ontology of Mental Health. We further used relations defined according to the pattern set forth in the OBO Relation Ontology. In light of the intended use of the ontology for the representation of adverse events that have actually occurred and therefore are registered in a database, we also applied the principles of referent tracking.

Results: We merged the upper portions of the mentioned feeder ontologies and introduced 22 additional representational units of which 13 are generally applicable in biomedicine and nine in the adverse event context. We provided for each representational unit a textual definition that can be translated into equivalent formal definitions.

Conclusion: The resulting ontology satisfies all of the requirements set forth. Merging the feeder ontologies, although all designed under the OBO Foundry principles, brought new insight into what the representational units of such ontologies actually denote.

 
  • References

  • 1 Arici S, Bertele P. ReMINE Deliverable D4.1:. RAPS Taxonomy: Approach and Definition.; 2008
  • 2 Ceusters W, Capolupo M, Devlies J. ReMINE Deliverable D4.2: RAPS Domain Ontology. 2009. RAMIT VZW: Gent.;
  • 3 Smith B, Ceusters W, Temmerman R. Wüsteria, in Connecting Medical Informatics and Bio-Informatics. Medical Informatics Europe 2005. R. Engelbrecht, et al. (eds). Amsterdam:: IOS Press;; 2005. pp 647-652.
  • 4 Institute of Medicine.. To Err is Human: Building a Safer Health System. Kohn LT, Corrigan JM, Donaldson MS. Washington DC: National Academy Press; 2000
  • 5 Ceusters W. et al. Various Views on Adverse Events: a collection of definitions. April 20, 2008 (cited April 29, 2008. Available from: http://www.org.buffalo.edu/RTU/papers/AdverseEventDefs.pdf
  • 6 Schorlemmer M, Kalfoglou Y. Institutionalising Ontology-Based Semantic Integration. Journal of Applied Ontology 2008; 3 (03) 131-150.
  • 7 Brinkley JF. et al. A framework for using reference ontologies as a foundation for the semantic web. In: Proceedings of the AMIA Fall Symposium 2006 pp 95-100.
  • 8 Smith B. et al. The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration. Nature Biotechnology 2007; 25: 1251-1255.
  • 9 IFOMIS.. Basic Formal Ontology. 2009. Available from: http://www.ifomis.uni-saarland.de/bfo
  • 10 Smith B. et al. Relations in biomedical ontologies. Genome Biology 2005; 6 (05) R46.
  • 11 Smith B. Ontology (Science), in Formal Ontology in Information Systems – Proceedings of the Fifth International Conference (FOIS 2008). Eschenbach C, Grüninger M. editors. Amsterdam:: OS Press; 2008. pp 21-35.
  • 12 Ceusters W. et al. Introducing Realist Ontology for the Representation of Adverse Events, in Formal Ontology in Information Systems. Eschenbach C, Gruninger M. editors. Saarbrücken: IOS Press; 2008. pp 237-250.
  • 13 Grenon P, Smith B, Goldberg L. Biodynamic Ontology: Applying BFO in the Biomedical Domain. In: Pisanelli DM. editor. Ontologies in Medicine. Amsterdam: IOS Press; 2004. pp 20-38.
  • 14 Rosse C, Mejino JLV. A reference ontology for bioinformatics: The Foundational Model of Anatomy. Journal of Biomedical Informatics 2003; 36: 478-500.
  • 15 Scheuermann RH, Ceusters W, Smith B. Toward an Ontological Treatment of Disease and Diagnosis. In: Proceedings of the 2009 AMIA Summit on Translational Bioinformatics, San Francisco, California, March 15-17, 2009. American Medical Informatics Association; 2009. pp 116-120.
  • 16 Ruttenberg A, Smith B, Ceusters W. Information – Artifact – Ontology. 2008 (cited December 10, 2008). Available from: http://code.google.com/p/information-artifact-ontology/
  • 17 Ceusters W, Smith B. The Ontology of Mental Disease: a study preparatory to a realist representation of the Diagnostic and Statistic Manual of Mental Disorders. Journal of Biomedical Semantics 2010 (under review)
  • 18 Rudnicki R. et al. What Particulars are Referred to in EHR Data? A Case Study in Integrating Referent Tracking into an Electronic Health Record Application. In: American Medical Informatics Association 2007 Annual Symposium Proceedings, Biomedical and Health Informatics: From Foundations to Applications to Policy. Teich JM, Suermondt J and HC, editors. Chicago, IL;: 2007. pp 630-634.
  • 19 Spear AD. Ontology for the Twenty First Century: An Introduction with Recommendations. Institute for Formal Ontology and Medical Information Science:; Saarbrucken, Germany: 2006
  • 20 Smith B. From Concepts to Clinical Reality: An Essay on the Benchmarking of Biomedical Terminologies. Journal of Biomedical Informatics 2006; 39 (03) 288-298.
  • 21 Smith B. et al. Towards a Reference Terminology for Ontology Research and Development in the Biomedical Domain. In: KR-MED 2006, Biomedical Ontology in Action. Baltimore MD, USA: 2006
  • 22 Smith B. Ontology and the Logistic Analysis of Reality. In: Proceedings of the International Workshop on Formal Ontology in Conceptual Analysis and Knowledge Representation. Padova: Institute for Systems Theory and Biomedical Engineering of the Italian National Research Council; 1993
  • 23 Johansson I. Bioinformatics and Biological Reality. Journal of Biomedical Informatics 2006; 39 (03) 274-287.
  • 24 Ceusters W, Smith B, Goldberg L. A terminological and ontological analysis of the NCI Thesaurus. Methods Inf Med 2005; 44: 498-507.
  • 25 Ceusters W. et al. Ontology-based error detection in SNOMED-CT®. In: MEDINFO 2004. Fieschi M, Coiera, E, Li Y-C J, editors. Amsterdam, The Netherlands: IOS Press; 2004. pp 482-486.
  • 26 Ceusters W. et al. Mistakes in medical ontologies: Where do they come from and how can they be detected?. In: Ontologies in Medicine. Studies in Health Technology and Informatics. Pisanelli DM, editor. Amsterdam The Netherlands: IOS Press; 2004. pp 145-164.
  • 27 Ceusters W, Smith B. Ontology and Medical Terminology: why Descriptions Logics are not enough. In: Towards an Electronic Patient Record (TEPR 2003). San Antonio: 2003
  • 28 Smith B. Fiat Objects. Topoi 2001; 20 (02) 131-148.
  • 29 Smith B. Against Fantology. In: Reicher ME, Marek JC. editors. Experience and Analysis,. Wien; 2005. pp 153-170.
  • 30 Ceusters W, Smith B. Strategies for Referent Tracking in Electronic Health Records. Journal of Biomedical Informatics 2006; 39 (03) 362-378.
  • 31 Ceusters W, Smith B. A Realism-Based Approach to the Evolution of Biomedical Ontologies, in Biomedical and Health Informatics. Proceedings of the 2006 AMIA Annual Symposium. Washington DC: American Medical Informatics Association; 2006 pp 121-125.
  • 32 Ceusters W. et al. An Evolutionary Approach to the Representation of Adverse Events. Stud Health Technol Inform 2009; 150: 537-541.
  • 33 Smith B, Grenon P. The Cornucopia of Formal-Ontological Relations. Dialectica 2004; 58 (03) 279-296.
  • 34 European Committee for Standardization, EN 12388:2005.. Health informatics – Time standards for healthcare specific problems. 2005
  • 35 Weng C, Becich M, Fridsma D. Collective Domain Modeling across Clinical Trials Standards: Needs, Challenges, and Design Implications. In: Information Technology and Communications in Health (ITCH). Victoria, BC, Canada: 2007
  • 36 Smith B, Ceuster W. HL7 RIM: An Incoherent Standard, in Studies in Health Technology and Informatics. Ubiquity: Technologies for Better Health in Aging Societies – Proceedings of MIE2006. Hasman A et al., editors. Amsterdam: IOS Press; 2006. pp 133-138.
  • 37 Jansen L. Tendencies and other Realizables in Medical Information Sciences. The Monist 2007; 90 (04) 534-555.
  • 38 Ceusters W. Dealing with Mistakes in a Referent Tracking System. In: Proceedings of Ontology for the Intelligence Community 2007 (OIC-2007). H. KS, editor. Columbia MA: 2007. pp 5-8.
  • 39 Smith B, Brochhausen M. Putting biomedical ontologies to work. Methods Inf Med 2010; 49 (02) 135-140.
  • 40 World Health Organization,.. World Alliance for Patient Safety: Forward Programme 2005. World Health Organization: Geneva; 2004
  • 41 The WHO World Health Organization Alliance for Patient Safety.. Project to Develop the International Patient Safety Event Taxonomy: Updated Review of the Literature 2003-2005; Final Report. Sherman H, Loeb J. editors. Geneva:: World Health Organization; 2005. - p 17.
  • 42 Drafting Group of the Project to Develop the International Classification for Patient Safety.. The Conceptual Framework for the International Classification for Patient Safety; Version 1.0 for Use in Field Testing 2007-2008. Geneva:: World Health Organization; 2007 p 48.
  • 43 Runciman W. et al. Towards an International Classification for Patient Safety: key concepts and terms. International Journal for Quality in Health Care 2009; 21 (01) 18-26.
  • 44 The Joint Commission.. Sentinel Event Glossary of Terms. 2008 (cited April 14, 2008). Available from: http://www.jointcommission.org/SentinelEvents/se_glossary.htm
  • 45 U. S. Food and Drug Administration.. IND Safety Reports, Code of Federal Regulations Title 21 Volume 5 § 312.32. Editor. 2007
  • 46 Committee for Data Standards for Patient Safety – Institute of Medicine, Patient Safety:. Achieving a New Standard of Care. A. P, et al. (eds.). Washington DC:: The National Academies Press; 2004
  • 47 National Cancer Institute, Common Terminology Criteria for Adverse Events (CTCAE) Version 3.0. 2006
  • 48 CDISC Submission Data Standards Team, CDISC SDTM Implementation Guide (Version 3.1.2) – Study Data Tabulation Model Implementation Guide: Human Clinical Trials. 2007
  • 49 Quality Interagency Coordination Task Force.. Glossary of Terms. 2008 (cited April 14, 2008. Available from: http://www.quic.gov/report/mederr8.htm