Automated pure-tone audiometry: an analysis of capacity, need, and benefit.
OBJECTIVE
The rationale for automating pure-tone audiometry based on the need for hearing tests and the capacity of audiologists to provide testing is presented. The personnel time savings from automated testing are analyzed. Some possible effects of automated testing on the profession are explored.


METHODS
Need for testing was based on prevalence of hearing impairment, number of normal hearing patients seen for testing, and an assumption of the frequency of testing. Capacity is based on the number of audiologists and the number of audiograms performed in a typical workday. Time savings were estimated from the average duration of an audiogram and an assumption that 80% can be automated.


RESULTS
A large gap exists between the need and the capacity of audiologists to provide testing. Automating 80% of audiograms would only partially close the gap. A significant time savings could accrue, permitting reallocation of time for doctoral level services.


CONCLUSIONS
Although certain jobs could be affected, the gap between capacity and need is so great that automated audiometry will not significantly affect employment. Automation could increase the number of hearing impaired patients that could be served. The reallocation of personnel time would be a positive change for our patients and our profession.
University of Minnesota, Department of Otolaryngology, MMC 396, Minneapolis, MN 55445, USA. margo001@umn.edu
Robert H
RH
Margolis
Donald E
DE
Morgan
D001301:Audiometry, Pure-Tone / Q000379:methods* / Q000706:statistics & numerical data; D003936:Diagnosis, Computer-Assisted; D004526:Efficiency; D006301:Health Services Needs and Demand / Q000706:statistics & numerical data; D006801:Humans; D012815:Signal Processing, Computer-Assisted; D013996:Time and Motion Studies; D014481:United States; D014600:Utilization Review / Q000706:statistics & numerical data