1 / 10

Developing an Ontology for Randomised Controlled Trials

Developing an Ontology for Randomised Controlled Trials. Henry Potts & Sanjay Modgil Design-a-Trial team, University College London. Randomised controlled trials. ‘Gold standard’ in clinical research

vartan
Download Presentation

Developing an Ontology for Randomised Controlled Trials

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Developing an Ontology for Randomised Controlled Trials Henry Potts & Sanjay Modgil Design-a-Trial team, University College London

  2. Randomised controlled trials • ‘Gold standard’ in clinical research • Units randomly assigned to groups, in which intervention(s) are compared to a control and an outcome measured • Not restricted to medicine (agricultural products, advertising, archaeological conservation)

  3. Design-a-Trial • Decision support software to aid inexperienced clinicians write a protocol for a randomised controlled trial (RCT) • Critiquing, pre-emption, natural language generation, ... • Back-end: Prolog; user interface: Visual Basic • http://www.design-a-trial.net

  4. An ontology • A structure to encode data about RCTs • Used as basis for Design-a-Trial v.2 [Sanjay’s talk] • Propose as an Interlingua for other trial software

  5. History • EON/GLIF-2 • for guidelines, not trials • BreastCancerProto.pont ProtegeWin example • concentrating on procedural aspects • Our RCT ontology • Ongoing work by Tu, Noy etc.

  6. Trial_Model_Entity • GLIF-2 etc. are bipartite in structure • Guideline_Model_Entity (procedural) • Reference_information • Our ontology is tripartite • add Trial_Model_Entity • Allows representation of trial-level concepts • Trial architecture, Outcomes, Interventions, Randomisation, ...

  7. Multiple superclasses • Protégé allows multiple superclasses • links different levels of representation • crossing Guideline_Model_Entity vs. Trial_Model_Entity divide • ties Outcome_measure to an Action_Step Thanks to... Samson Tu for this paradigm shift

  8. Guideline_Model_Entity changes • GLIF uses an ordinal time structure • Introduce temporal referents • Composite steps

  9. Reference_information changes • Activity • Compliance_procedure • Consent_procedure • Structure of Intervention_procedure • Outcome_variableetc.

  10. Conclusions • Copy of (mostly) documented ontology available • Aim to make it downloadable from the web site and write up for publication • DaT going into commercial development

More Related