Application of Human Factor Engineering to Selection and Implementation Planning of a Voice Recognition System

Author: Martha A. Koperwhats, RT(R), MS

Primary Advisor: Todd R. Johnson, PhD

Committee Members: Jiajie Zhang, PhD; Bruce R. Parker, MD; Charles Willis, PhD

Masters thesis, The University of Texas School of Health Information Sciences at Houston.

 
The necessity to reduce costs and improve report turnaround times (RTA) is critical for healthcare providers in the current managed care environment. Continuous voice recognition (CVR) systems have been demonstrated to provide these benefits. Though the benefits are well documented, radiologists and other physicians have been resistant to adopting this change in their practice. Studies have identified the reasons for resistance. Factors necessary to increase the chances for a successful plan and implementation have to be identified. Formal scientific techniques best suited to address users' issues, acceptance factors, expectations, workflow processes, tasks, and an environmental analysis are found in human factor engineering (HFE) and usability engineering (UE). HFE and UE techniques produced environmental and contextual analyses that identified the factors needed to increase chances for a successful implementation of a CVR system.