Annotation Guidelines for Medication Errors in Incident Reports: Validation Through a Mixed Methods Approach

Zoie S.Y. Wong, Yuchen Qiao, Ryohei Sasano, Hongkuan Zhang, Kenichiro Taneda, Shin Ushiro

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

At present no adequate annotation guidelines exists for incident report learning. This study aims at utilizing multiple quantitative and qualitative evidence to validate annotation guidelines for incident reporting of medication errors. Through multiple approaches via annotator training, annotation performance evaluation, exit surveys, and user and expert interviews, a mixed methods explanatory sequential design was utilized to collect 2-stage evidence for validation. We recruited two patient safety experts to participate in piloting, three annotators to receive annotation training and provide user feedback, and two incident report system designers to offer expert comments. Regarding the annotation performance evaluation, the overall accuracy reached 97% and 90% for named entity identification and attribute identification respectively. Participants provided invaluable comments and opinions towards improving the annotation methods. The mixed methods approach created a significant evidential basis for the use of annotation guidelines for incident report of medication errors. Further expansion of the guidelines and external validity present options for future research.

Original languageEnglish
Title of host publicationMEDINFO 2021
Subtitle of host publicationOne World, One Health - Global Partnership for Digital Innovation - Proceedings of the 18th World Congress on Medical and Health Informatics
EditorsPaula Otero, Philip Scott, Susan Z. Martin, Elaine Huesing
PublisherIOS Press BV
Pages354-358
Number of pages5
ISBN (Electronic)9781643682648
DOIs
Publication statusPublished - Jun 6 2022
Event18th World Congress on Medical and Health Informatics: One World, One Health - Global Partnership for Digital Innovation, MEDINFO 2021 - Virtual, Online
Duration: Oct 2 2021Oct 4 2021

Publication series

NameStudies in Health Technology and Informatics
Volume290
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference18th World Congress on Medical and Health Informatics: One World, One Health - Global Partnership for Digital Innovation, MEDINFO 2021
CityVirtual, Online
Period10/2/2110/4/21

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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