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Filters: Department: "Biomedical Informatics" School Or College: "School of Medicine" Collection: "ir_uspace"
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CreatorTitleDescriptionSubjectDate
276 Mitchell, Joyce A.The creation and early implementation of a high speed fiber optic network for a university health sciences centerIn late 1989 the University of Missouri Health Sciences Center began the process of creating an extensive fiber optic network throughout its facilities, with the intent to provide networked computer access to anyone in the Center desiring such access, regardless of geographic location or organizatio...1991-01-01
277 Warner, Homer R.Time-Sharing in Biomedical ResearchBiomedical Informatics1966
278 Gardner, Reed M.Tomorrow's Electronic Hospital is Here TodayBiomedical Informatics1984
279 Warner, Homer R.Toward a Public Domain UMLS Patient DatabaseBiomedical Informatics1990
280 DuVall, Scott L.Understanding the profile of errors that cause duplicate entries in a patient registryDuplicate records are detrimental to the cost-effective and efficient delivery of health care. Manually identifying and resolving duplicates can cost $60 per case. Patterns have been found in the types of errors that occur in patient registries, suggesting that undetected duplicate records may be ...Duplicate records; Duplicate patient records; Profile of errors; Enterprise Data Warehouse; EDW; Utah Population Database; UPDB; Trapeze Interactive Poster2009
281 Warner, Homer R.Use of Analogue Computers in the Study of Control Mechanisms in the CirculationBiomedical Informatics1962
282 Huser, Vojtech; Del Fiol, Gulherme; Rocha, Roberto A.Use of XML Technology for E-resources Management within a Healthcare EnterpriseProvision of access to electronic resources to clinicians is becoming increasingly important. We have created a framework for librarians to manage access to e-resources at enterprise level rather than separately at individual hospital libraries. We present our initial project requirements, implement...Biomedical informatics; E-resources; Knowledge representation; Knowledge management; XML; XSLT; Intermountain Healthcare; Medical informatics2008-03-14
283 Mitchell, Joyce A.Use of a microcomputer database system in a statewide effort for data collection in medical geneticsThe Genetics Office Automation System (GOAS) is a database management system for the collection and reporting of medical genetics data. We have previously reported on its implementation in a single university center [1,2]. We report here on its implementation in a coordinated data collection effort ...1991-01-01
284 Warner, Homer R.Use of the HELP Clinical Database to Build and Test Medical KnowledgeBiomedical Informatics1987
285 Mitchell, Joyce A.Using information prescriptions to refer patients with metabolic conditions to the Genetics Home Reference websiteObjectives: The objectives of this study were to assess the reactions of adult patients and parents of children with metabolic conditions to receipt of an ‘‘information prescription'' (IP) to visit Genetics Home Reference (GHR), a National Institutes of Health/National Library of Medicine online...2011-01-01
286 Frey, Lewis J.ca! - emergency and disaster recovery system extensions to caBIG™During Hurricane Katrina, US Federal and State Agencies had disparate data acquisition systems, separate data networks and unique incompatible applications. •System incompatibilities exist even between various Federal agencies. •Consistent data available to one agency should be available to an...caBIG; Data acquisition systems; Data sharing; Information sharing; Trapeze Interactive Poster2009-09-23
287 Huser, Vojtech; Rocha, Roberto A.modeling of HEDIS quality measures and prototyping of related decision support rulesWe describe the application of the RetroGuide analytical toolset to quality improvement in osteoporosis and cholesterol management. Our graphical executable scenarios enable user-friendly modeling of temporal processes and retrospective prototyping of decision support on real EHR data. The graphical...RetroGuide; Biomedical informatics; HEDIS; Quality Improvement; Knowledge Representation; Visual Query System2008-03-24
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