Participatory Design of a Clinical Trial Eligibility Criteria Simplification Method.

Journal: Studies in health technology and informatics
Published Date: May 27, 2021

Abstract

Clinical trial eligibility criteria are important for selecting the right participants for clinical trials. However, they are often complex and not computable. This paper presents the participatory design of a human-computer collaboration method for criteria simplification that includes natural language processing followed by user-centered eligibility criteria simplification. A case study on the ARCADIA trial shows how criteria were simplified for structured database querying by clinical researchers and identifies rules for criteria simplification and concept normalization.

Authors

  • Yilu Fang
    Department of Biomedical Informatics.
  • Jae Hyun Kim
    Department of Pharmaceutical Chemistry, University of Kansas, Lawrence, Kansas 66047; Macromolecule and Vaccine Stabilization Center, University of Kansas, Lawrence, Kansas 66047.
  • Betina Ross Idnay
    School of Nursing.
  • Rebeca Aragon Garcia
    Department of Neurology, Columbia University, New York, NY, USA.
  • Carmen E Castillo
    Departamento de Ciencia de los Materiales e Ingeniería Metalúrgica y Química Inorgánic, Facultad de Ciencias, Campus Rio San Pedro S/N, Puerto Real, Cádiz, 11510, Spain.
  • Yingcheng Sun
    Department of Biomedical Informatics, Columbia University, New York, NY, USA.
  • Hao Liu
    Key Laboratory of Development and Maternal and Child Diseases of Sichuan Province, Department of Pediatrics, Sichuan University, Chengdu, China.
  • Cong Liu
    Department of Bioengineering, University of Illinois at Chicago, 851 S Morgan St, Chicago, IL, 60607, USA.
  • Chi Yuan
    Department of Biomedical Informatics, Columbia University, New York, New York, USA.
  • Chunhua Weng
    Department of Biomedical Informatics, Columbia University.

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