Year: 2025
Type: book-chapter
Abstract: This paper presents the implementation of a virtual training program for enumerators conducting Time and Motion Studies using the WOMBAT methodology, as part of a project assessing healthcare workflows before the adoption of an Electronic Health Record system. The training employed digital tools, including Zoom meetings, Google Forms, the WOMBAT App, and AI-generated scenario images, to simulate clinical settings. The program successfully prepared observers for data collection, with high agreement among them. Even though its limitations, this study shares a remote training approach for TMS in geographically dispersed contexts, with potential for further integration of AI tools.
DOI: 10.3233/shti250546
Authors: Daniel A. Rizzato Lede, Martín M. Díaz Maffini, Juan M. Ortiz, Kern Rocke, Jermaine Whyte, Adrian Santoro, Juan P. Alonso, Analía López, Cintia A. Cejas, Adolfo Rubinstein
Language: English
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4410447257