An Automated DICOM Database Capable of Arbitrary Data Mining (Including Radiation Dose Indicators) for Quality Monitoring.
The U.S. National Press has brought to full public discussion concerns regarding the use of medical radiation, specifically x-ray computed tomography (CT), in diagnosis. A need exists for developing methods whereby assurance is given that all diagnostic medical radiation use is properly prescribed,...
| Published in: | Journal of Digital Imaging Vol. 24; no. 2; pp. 223 - 234 |
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| Main Authors: | , , , , , , , , , |
| Format: | pictorial tables/charts Journal Article |
| Published: |
Springer Nature
Apr2011
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104844124&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104844124 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Apr2011 vid: 24 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104844124 59291417 10.1007/s10278-010-9329-y NLM20824303 104844124 ppf: 223 ppct: 11 formats: fmt: @attributes: type: P tig: atl: An Automated DICOM Database Capable of Arbitrary Data Mining (Including Radiation Dose Indicators) for Quality Monitoring. aug: au: Wang, Shanshan Pavlicek, William Roberts, Catherine Langer, Steve Zhang, Muhong Hu, Mengqi Morin, Richard Schueler, Beth Wellnitz, Clinton Wu, Teresa affil: School of Computing, Informatics and Decision Systems Engineering, Arizona State University, 699 S. Mills Ave. Tempe 85287 USA sug: subj: Radiation Dosage Database Management Software DICOM Medical Informatics Quality Assurance Data Mining Data Management Methods Systems Design Knowledge Bases Reports Patient Safety Automation ab: The U.S. National Press has brought to full public discussion concerns regarding the use of medical radiation, specifically x-ray computed tomography (CT), in diagnosis. A need exists for developing methods whereby assurance is given that all diagnostic medical radiation use is properly prescribed, and all patients' radiation exposure is monitored. The 'DICOM Index Tracker©' (DIT) transparently captures desired digital imaging and communications in medicine (DICOM) tags from CT, nuclear imaging equipment, and other DICOM devices across an enterprise. Its initial use is recording, monitoring, and providing automatic alerts to medical professionals of excursions beyond internally determined trigger action levels of radiation. A flexible knowledge base, aware of equipment in use, enables automatic alerts to system administrators of newly identified equipment models or software versions so that DIT can be adapted to the new equipment or software. A dosimetry module accepts mammography breast organ dose, skin air kerma values from XA modalities, exposure indices from computed radiography, etc. upon receipt. The American Association of Physicists in Medicine recommended a methodology for effective dose calculations which are performed with CT units having DICOM structured dose reports. Web interface reporting is provided for accessing the database in real-time. DIT is DICOM-compliant and, thus, is standardized for international comparisons. Automatic alerts currently in use include: email, cell phone text message, and internal pager text messaging. This system extends the utility of DICOM for standardizing the capturing and computing of radiation dose as well as other quality measures. pubtype: Academic Journal doctype: pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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