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Telemedicine Journal
Efficiency Analysis of a Multi-Specialty Telemedicine Service

To cite this paper:
Elizabeth Krupinski, Phyllis Webster, Mary Dolliver, Ronald S. Weinstein, Ana Maria Lopez. Telemedicine Journal. September 1, 1999, 5(3): 265-271. doi:10.1089/107830299312014.

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Elizabeth Krupinski, Ph.D.
Arizona Telemedicine Program, University of Arizona and Department of Radiology, University of Arizona College of Medicine, Tucson, Arizona.
Phyllis Webster
Arizona Telemedicine Program, University of Arizona
Mary Dolliver
1Arizona Telemedicine Program, University of Arizona
Ronald S. Weinstein, M.D.
Arizona Telemedicine Program, University of Arizona and Department of Pathology, University of Arizona College of Medicine, Tucson, Arizona.
Ana Maria Lopez, M.D.,M.P.H.
Arizona Telemedicine Program, University of Arizona and Arizona Cancer Center, University of Arizona College of Medicine, Tucson, Arizona.

Objective. The goal of this project was to assess case turn-around times for store-and-forward and real-time video consultations in the Arizona Telemedicine Program.

Materials and Methods: Five components contributing to total case turn-around time were analyzed. Each parameter was submitted to statistical analysis and compared for store-and-forward and real-time sessions.

Results. Turn-around for real-time are longer than for store-and-forward sessions. Real-time sessions take longer, from when the consulting clinician is contacted to the time the case is reviewed. This is compounded by the fact that real-time sessions sometimes need to be rescheduled. For both types of consults, the time to deliver the final report is the longest segment of the total turn-around time.

Conclusion. Several factors contribute to case turn-around times. By identifying and analyzing each contributing factor, it is possible to revise consult protocols to improve efficiency.

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