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Exploiting Ontology Based Search and EHR Interoperability to Facilitate Clinical Trial Design

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Concepts and Trends in Healthcare Information Systems

Abstract

Clinical trials often fail to demonstrate beneficial effects and might overestimate the unwanted effects, with their results having low external validity. They focus on single interventions, whereas the clinical practice environment comprises various features that affect the efficacy, feasibility, duration and costs of a clinical trial. In this chapter we discuss PONTE, a platform which effectively guides medical researchers through clinical trial protocol design and offers intelligent services that address clinical needs, such as effective inclusion/exclusion criteria specification, intelligent search through a wide range of databases, clinical findings and background knowledge, and automated estimation of eligible patient population at cooperating healthcare entities. To the best of our knowledge, and to date, the PONTE platform is the first paradigm of an automated system that can effectively guide clinical trials protocol design, by linking data with drug, target and disease knowledge databases, clinical care and clinical research information systems, and guiding the users automatically though the whole pipeline of the clinical trial protocol design.

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Notes

  1. 1.

    The PONTE platform was developed as part of the PONTE EU project. More details about the project can be found at: http://www.ponte-project.eu/.

  2. 2.

    Publicly available at: http://www.gopubmed.org/web/goponte/.

  3. 3.

    The Reference Information Model (RIM) is the cornerstone of the HL7 V3 development process, comprising a large pictorial representation of the clinical data (domains) and identifying the life cycle of events that a message or groups of related messages will carry.

  4. 4.

    http://www.openehr.org/.

  5. 5.

    http://gopubmed.org/web/goweb/3?WEB10O00h00100090000.

  6. 6.

    http://linkeddata.org/.

  7. 7.

    http://www.clinicaltrials.gov.

  8. 8.

    http://www.who.int/classifications/icd/en/ and http://www.cdc.gov/nchs/icd/icd10cm.htm.

  9. 9.

    http://www.ihtsdo.org/snomed-ct/.

  10. 10.

    http://www.whocc.no/atc_ddd_index/.

  11. 11.

    http://www.ebi.ac.uk/chebi/.

  12. 12.

    http://pubchem.ncbi.nlm.nih.gov/.

  13. 13.

    http://wiki.nci.nih.gov/display/TCGA/HUGOgenesymbol.

References

  • Sahoo A. Patient Recruitment and Retention in Clinical Trials; Emerging strategies in Europe, the US and Asia. London: Business Insights Ltd; 2007 Jun p. 149. Report No.: RBI00152

    Google Scholar 

  • Chondrogiannis E et al. (2012) A novel query rewriting mechanism for semantically interlinking clinical research with electronic health records. ACM, Craiova

    Google Scholar 

  • Evans A, Kalra L (2001) Are the results of randomized controlled trials on anticoagulation in patients with atrial fibrillation generalizable to clinical practice? Arch Intern Med 161:1443–1447

    Article  Google Scholar 

  • Fisk NM, Atun R (2008) Market failure and the poverty of new drugs in maternal health. PLOS Med 5(1): 22–37

    Article  Google Scholar 

  • Herper M (2012) The truly staggering cost of inventing new drugs. Forbes, NY

    Google Scholar 

  • Kraljevic S, Stambrook PJ, Pavelic K (2004) Accelerating drug discovery. Eur Mol Biol Org 5:837–842

    Google Scholar 

  • McDonald AM et al. (2006) What influences recruitment to randomised controlled trials? A review of trials funded by two UK funding agencies. Trials 7(9):3–4

    Google Scholar 

  • Nitkin R (2003) Patient recruitment strategies. Bethesda, Training workshop conducted by National Institutes of Health

    Google Scholar 

  • Roumier J et al (2012) Semantically-assisted hypothesis validation in clinical research. eChallenges, Lisbon

    Google Scholar 

  • Tagaris A, Chondrogiannis E, Andronikou V, Tsatsaronis G, Mourtzoukos K, Roumier J, Matskanis N, Schroeder M, Massonet P, Varvarigou T (2012) Semantic Interoperability between Clinical Research and Healthcare: the PONTE approach, Semantic Interoperability in Medical Informatics (SIMI2012) Workshop co-located with the ESWC2012, May 2012, Heraklion, Crete.

    Google Scholar 

  • Taylor RS, Bethell HJ, Brodie DA (2007) Clinical trials versus the real world: The example of cardiac rehabilitation. Br J Cardiol 14(3):175–178

    Google Scholar 

  • Tsatsaronis G, Konstantinos M, Vassiliki A, Tassos T, Iraklis V, Michael S, Theodora V, Dimitris K, Nikolaos M (2012) “PONTE: a context-aware approach for automated clinical trial protocol design.” In proceedings of the 6th International Workshop on Personalized Access, Profile Management, and Context Awareness in Databases in conjunction with VLDB, August 2012, Istanbul, Turkey

    Google Scholar 

  • Van den Haak M, Sculthorpe P, McAuslane J. (2002) New active substance activities: submission, authorisation and marketing 2001. CMR International, Epsom

    Google Scholar 

  • Wilcken NR, Gebski VJ, Pike R, Keech AC (2007) Putting results of a clinical trial into perspective. MJA 186(7):368–370

    Google Scholar 

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Correspondence to Anastasios Tagaris .

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Tagaris, A. et al. (2014). Exploiting Ontology Based Search and EHR Interoperability to Facilitate Clinical Trial Design. In: Koutsouris, DD., Lazakidou, A. (eds) Concepts and Trends in Healthcare Information Systems. Annals of Information Systems, vol 16. Springer, Cham. https://doi.org/10.1007/978-3-319-06844-2_3

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