The Mechanisms Responsible for Improved Information Transfer in Avatar-Based Patient Monitoring: Multicenter Comparative Eye-Tracking Study.

ABSTRACT:

Background

Patient monitoring is central to perioperative and intensive care patient safety. Current state-of-the-art monitors display vital signs as numbers and waveforms. Visual Patient technology creates an easy-to-interpret virtual patient avatar model that displays vital sign information as it would look in a real-life patient (eg, avatar changes skin color from healthy to cyanotic depending on oxygen saturation). In previous studies, anesthesia providers using Visual Patient perceived more vital signs during short glances than with conventional monitoring.

Objective

We aimed to study the deeper mechanisms underlying information perception in conventional and avatar-based monitoring.

Methods

In this prospective, multicenter study with a within-subject design, we

SUBMITTER: Tscholl DW 

PROVIDER: S-EPMC7105929 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature