Scientific article
Open access

Caregivers Interactions with Clinical Autocomplete Tool: A Retrospective Study

Published inStudies in health technology and informatics, vol. 295, no. Advances in Informatics, Management and Technology in Healthcare
Publication date2022-06-29

Hospital caregivers report patient data while being under constant pressure. These records include structured information, with some of them being derived from a restricted list of terms. Finding the right term from a large terminology can be time-consuming, harming the clinician's productivity. To deal with this hurdle, an autocomplete system is employed, providing the closest terms after a prefix is typed. While this software application clearly smoothens the term searching, this paper studies the influences of the tool on caregivers' reporting, inspecting the evolution of their typing conduct over time.

  • Autocomplete
  • Healthcare
  • Natural language processing
  • User study
  • Caregivers
  • Hospitals
  • Humans
  • Retrospective Studies
  • Software
Citation (ISO format)
ZAGHIR, Jamil et al. Caregivers Interactions with Clinical Autocomplete Tool: A Retrospective Study. In: Studies in health technology and informatics, 2022, vol. 295. doi: 10.3233/shti220679
Main files (1)
Article (Published version)
ISSN of the journal0926-9630

Technical informations

Creation07/05/2022 6:10:00 PM
First validation07/05/2022 6:10:00 PM
Update time03/16/2023 8:43:40 AM
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