Paper
19 May 2003 MineScan: non-image data monitoring and mining from imaging modalities
Shayan M. Zaidi, Dov Huff, Pankit Bhalodia, Pattanasak Mongkolwat, David S. Channin M.D.
Author Affiliations +
Abstract
This project is intended to capture and interactively display non-image information routinely generated by imaging modalities. This information relates to the device's performance of the individual procedures and is not necessarily available in other information streams such as DICOM headers. While originally intended for use in servicing the modalities, this information can also be presented to radiologists and administrators within the department for both micro- and macro-management purposes. This data can help hospital administrators and radiologists manage available resources and discover clues to indicate what modifications in hospital operations might significantly improve its ability to provide efficient patient care. Data is collected from a departmental CT scanner. The data consists of a running record of exams followed by a list of processing records logged over a 24-hour period. MineScan extracts information from these records and stores it into a database. A statistical program is run once a day to collect relevant metrics. MineScan can be accessed via a Web browser or through an advanced prototype PACS workstation. This information, if provided in real-time, can be used to manage operations in a busy department. Even when provided historically, the data can be used to assess current activity, analyze trends and plan future operations.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shayan M. Zaidi, Dov Huff, Pankit Bhalodia, Pattanasak Mongkolwat, and David S. Channin M.D. "MineScan: non-image data monitoring and mining from imaging modalities", Proc. SPIE 5033, Medical Imaging 2003: PACS and Integrated Medical Information Systems: Design and Evaluation, (19 May 2003); https://doi.org/10.1117/12.480670
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KEYWORDS
Databases

Scanners

Computed tomography

Data mining

Java

Picture Archiving and Communication System

Surgery

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