Automated Generation of Core Outcome Measures for Clinical Trials

Anas Elghafari, Joseph Finkelstein

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Common outcome sets are vital for ensuring usability of clinical trial results and enabling inter-study comparisons. The task of identifying clinical outcomes for a particular field is cumbersome and time-consuming. The aim of this work was to develop an automated pipeline for identifying common outcomes by analyzing outcomes from relevant trials reported at and to assess the pipeline accuracy. We validated the output of our pipeline by comparing the outcomes it identified for acute coronary syndromes and coronary artery disease with the set of outcomes recommended for these conditions by a panel of experts in a widely cited report. We found that our pipeline identified the same or similar outcomes for 100% of the outcomes recommended in the experts' report. The coverage of the pipeline's results dropped only slightly (to 21 out of 23 outcome domains, 91%) when we restricted the pipeline to trials posted before the publication of the report, indicating a great potential for this pipeline to be used in aiding and informing the future development of core outcome measures in clinical trials.

Original languageEnglish
Title of host publicationNurses and Midwives in the Digital Age - Selected Papers, Posters and Panels from the 15th International Congress in Nursing Informatics
EditorsMichelle Honey, Charlene Ronquillo, Ting-Ting Lee, Lucy Westbrooke
PublisherIOS Press BV
Number of pages5
ISBN (Electronic)9781643682204
StatePublished - 15 Dec 2021
Event15th International Congress in Nursing Informatics: Nurses and Midwives in the Digital Age, NI 2021 - Virtual, Online
Duration: 23 Aug 20212 Sep 2021

Publication series

NameStudies in Health Technology and Informatics
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365


Conference15th International Congress in Nursing Informatics: Nurses and Midwives in the Digital Age, NI 2021
CityVirtual, Online


  • Clinical trials
  • automation
  • common data elements


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