Do Novice and Expert Users of Clinical Decision Support Tools Need Different Explanations?
Clinical decision support systems
decision explanations
decision making
fuzzy-trace theory
wound care
Journal
Proceedings of the ... Americas Conference on Information Systems. Americas Conference on Information Systems
Titre abrégé: Proc Am Conf Inf Syst
Pays: United States
ID NLM: 101773425
Informations de publication
Date de publication:
Aug 2020
Aug 2020
Historique:
entrez:
29
10
2021
pubmed:
1
8
2020
medline:
1
8
2020
Statut:
ppublish
Résumé
A key requirement for the successful adoption of clinical decision support systems (CDSS) is their ability to provide users with reliable explanations for any given recommendation which can be challenging for some tasks such as wound management decisions. Despite the abundance of decision guidelines, wound non-expert (novice hereafter) clinicians who usually provide most of the treatments still have decision uncertainties. Our goal is to evaluate the use of a Wound CDSS smartphone App that provides explanations for recommendations it produces. The App utilizes wound images taken by the novice clinician using smartphone camera. This study experiments with two proposed variations of rule-tracing explanations called verbose-based and gist-based. Deriving upon theories of decision making, and unlike prior literature that says rule-tracing explanations are only preferred by novices, we hypothesize that, rule-tracing explanations are preferred by both clinicians but in different forms: novices prefer verbose-based rule-tracing and experts prefer gist-based rule-tracing.
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : NIBIB NIH HHS
ID : R01 EB025801
Pays : United States
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