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Sır, Mustafa Y.

https://orcid.org/0000-0003-1805-6195

Mayo Clinic

Amazon (United States)

Citations 12

Application of Sociometers in the Emergency Department1
Blocker, Renaldo C., Yu, Denny , Hawthorne, Hunter J., Sır, Mustafa Y. , Hellmich, Thomas , Nestler, David M. , Hallbeck, M. Susan , Pasupathy, Kalyan S.

Journal of Medical Devices | May 11, 2016 | Volume: 10 | Issue: 2 | Pages: No page available

10.1115/1.4033287 Get It

Application of sociometer badges in simulated health environments
Yu, Denny , Blocker, Renaldo C., Sır, Mustafa Y. , Hellmich, Thomas , Hallbeck, M. Susan , Pasupathy, Kalyan S.

Proceedings of the Human Factors and Ergonomics Society Annual Meeting | October 28, 2015 | Volume: 59 | Issue: 1 | Pages: 538-542

10.1177/1541931215591117 Get It

Workload experienced by health care workers continues to be a challenge to define and quantify. The purpose of the current study is to present descriptive data on the application of sociometers in an emergency care environment during simulated hand-off scenarios and discuss their potential and limitations for quantifying individual’s workload in health care settings. Sociometer devices, worn by nine actors, collected body movement, interactions, and speech data during four simulated hand-off scenarios in the emergency department wards. Results found that sociometers distinguished body movement differences between sitting, standing, lying, and walking individuals. Interactions quantified by the devices were limited by obstructions, distance, and angles between the sociometer devices. The data collected by these devices show promise in providing human factors researchers a tool for quantifying the dynamic exposures experienced by health care workers over time.