Paper
12 May 1995 PACS intelligence: automatic feedback for PACS retrieval requests
Doris T. Chin, Bruce Kuo Ting Ho, Woodrew Chao, Ricky K. Taira, John R. Bentsen M.D.
Author Affiliations +
Abstract
Waiting for images from a PACS archive is frustrating for radiologists whenever images are missing from their workstations. We employ system intelligence into our PACS to estimate the image retrieval time and to notify the radiologist upon image availability. When an image retrieval request is made by a radiologist, our PACS manager software is automatically notified. It then collects archival information and system conditions from various PACS nodes (database, file servers, and workstations) through a trap mechanism. A statistical model is developed to estimate the image retrieval delay based on image size, number of prior requests, network topology, and storage device type. A retrieval time table is then graphically displayed on the workstation. Automatic paging notifies the relevant radiologist if the delay is substantial and catastrophic. A radiologist is much more willing to perform softcopy viewing regularly once he is given a good estimation of image retrieval delay, from which he is able to make better decisions in prioritizing his work list. The implementation of PACS intelligence requires enormous information. The PACS manager makes it possible to collect them anywhere in the network. The retrieval time notification is an important example of applying PACS intelligence to assist clinical practice.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Doris T. Chin, Bruce Kuo Ting Ho, Woodrew Chao, Ricky K. Taira, and John R. Bentsen M.D. "PACS intelligence: automatic feedback for PACS retrieval requests", Proc. SPIE 2435, Medical Imaging 1995: PACS Design and Evaluation: Engineering and Clinical Issues, (12 May 1995); https://doi.org/10.1117/12.208808
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Cited by 1 scholarly publication.
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KEYWORDS
Picture Archiving and Communication System

Image retrieval

Image processing

Image analysis

Statistical analysis

Computer networks

Databases

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