Research Topics
| Scott L DuVallSummaryAffiliation: University of Utah Country: USA Publications
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Detail Information
Publications
The impact of a growing minority population on identification of duplicate records in an enterprise data warehouseScott L DuVall
Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
Stud Health Technol Inform 160:1122-6. 2010....
Informatics in radiology (infoRAD): Vendor-neutral case input into a server-based digital teaching file systemAaron W C Kamauu
Department of Biomedical Informatics, University of Utah, 26 South 2000 East HSEB 5700, Salt Lake City, UT 84112 5750, USA
Radiographics 26:1877-85. 2006..Using RadICS, radiologists are able to harvest and author interesting cases at the point of clinical interpretation with minimal disruption in clinical work flow...
Translating the IHE Teaching File and Clinical Trial Export (TCE) profile document templates into functional DICOM structured report objectsAaron W C Kamauu
Department of Biomedical Informatics, University of Utah, 26 South 2000 East HSEB 5700, Salt Lake City, UT 84112 5750, USA
J Digit Imaging 21:390-407. 2008..This paper presents step-by-step instructions for translating the TCE document templates into functional and complete DICOM SR objects. Others will benefit from these instructions in developing TCE compliant applications...
Evaluation of record linkage between a large healthcare provider and the Utah Population DatabaseScott L DuVall
VA Salt Lake City Health Care System, Salt Lake City, Utah, USA
J Am Med Inform Assoc 19:e54-9. 2012..Innovative approaches for creating research infrastructure beyond a traditional data system are necessary...
Extending the Fellegi-Sunter probabilistic record linkage method for approximate field comparatorsScott L DuVall
Department of Biomedical Informatics, University of Utah, Utah, USA
J Biomed Inform 43:24-30. 2010..Given the ubiquity of linkage in both clinical and research settings, the incremental improvement of the extension has the potential to make a considerable impact...
Identification of methicillin-resistant Staphylococcus aureus within the nation's Veterans Affairs medical centers using natural language processingMakoto Jones
VA Salt Lake City Health Care System, Salt Lake City, UT, USA
BMC Med Inform Decis Mak 12:34. 2012..Assembling complete and correct microbiology data is vital to understanding and addressing the multiple drug-resistant organisms in our hospitals...
