Usability and performance expectancy govern spine surgeons' use of a clinical decision support system for shared decision-making on the choice of treatment of common lumbar degenerative disorders.

ABSTRACT:

Study design

Quantitative survey study is the study design.

Objectives

The study aims to develop a model for the factors that drive or impede the use of an artificial intelligence clinical decision support system (CDSS) called PROPOSE, which supports shared decision-making on the choice of treatment of ordinary spinal disorders.

Methods

A total of 62 spine surgeons were asked to complete a questionnaire regarding their behavioral intention to use the CDSS after being introduced to PROPOSE. The model behind the questionnaire was the Unified Theory of Acceptance and Use of Technology. Data were analyzed using partial least squares structural equation modeling.

Results

The degree of ease of use associated with the new technology (effort expectancy/usability) and t

SUBMITTER: Eiskjær S 

PROVIDER: S-EPMC10465695 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature