Estimating The Number Of Diagnostic Work Stations In A Digital X-Ray Department

John G. Hoffman

doi:10.1117/12.947346

16 September 1985 Estimating The Number Of Diagnostic Work Stations In A Digital X-Ray Department

John G. Hoffman

Proceedings Volume 0536, 3rd Intl Conf on Picture Archiving and Communication Systems; (1985) https://doi.org/10.1117/12.947346
Event: 1985 Medical Imaging Conferences, 1985, California, United States

Abstract

The number of diagnostic work stations needed in a digital x-ray department varies as a function of department case load, the primary types of diagnostic activity, the number of radiologists on staff, and their relative proficiencies. Other factors which must be considered are the distribution of work load, the amount of time a user is willing to wait for a station, the cost of the stations, and system reliability. There are two extreme solutions to this problem: one work station per department versus one per radiolo-gist. Empirical data available in the literature provides some limiting assumptions. This paper will use that data and analyze the problem using multi-server queuing theory. Estimates using this approach indicate that an "average" department in a medium to large hospital will need five or more work stations to successfully operate an all digital department.

Citation Download Citation

John G. Hoffman "Estimating The Number Of Diagnostic Work Stations In A Digital X-Ray Department", Proc. SPIE 0536, 3rd Intl Conf on Picture Archiving and Communication Systems, (16 September 1985); https://doi.org/10.1117/12.947346

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available