A time motion study of manual versus artificial intelligence methods for wound assessment.

ABSTRACT:

Objectives

This time-motion study explored the amount of time clinicians spent on wound assessments in a real-world environment using wound assessment digital application utilizing Artificial Intelligence (AI) vs. manual methods. The study also aimed at comparing the proportion of captured quality wound images on the first attempt by the assessment method.

Methods

Clinicians practicing at Valley Wound Center who agreed to join the study were asked to record the time needed to complete wound assessment activities for patients with active wounds referred for a routine evaluation on the follow-up days at the clinic. Assessment activities included: labelling wounds, capturing images, measuring wounds, calculating surface areas, and transferring data into the patient's record.

SUBMITTER: Mohammed HT 

PROVIDER: S-EPMC9333325 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature