Physician satisfaction with order entry systems.
Author(s): Patterson, Robert
DOI: 10.1197/jamia.m1022
Author(s): Patterson, Robert
DOI: 10.1197/jamia.m1022
To ascertain whether three-dimensional geometric and probabilistic reasoning methods can be successfully combined for computer-based assessment of conditions arising from ballistic penetrating trauma to the chest and abdomen.
Author(s): Ogunyemi, Omolola I, Clarke, John R, Ash, Nachman, Webber, Bonnie L
DOI: 10.1197/jamia.m0979
A comprehensive data warehouse framework is needed, which encompasses imaging and non-imaging information in supporting disease management and research. The authors propose such a framework, describe general design principles and system architecture, and illustrate a multimodality neuroimaging data warehouse system implemented for clinical epilepsy research. The data warehouse system is built on top of a picture archiving and communication system (PACS) environment and applies an iterative object-oriented analysis and design [...]
Author(s): Wong, Stephen T C, Hoo, Kent Soo, Knowlton, Robert C, Laxer, Kenneth D, Cao, Xinhau, Hawkins, Randall A, Dillon, William P, Arenson, Ronald L
DOI: 10.1197/jamia.m0988
Problems involving drug knowledge are one of the most common causes of serious medication errors. Although the information that clinicians need is often available somewhere, retrieving it expeditiously has been problematic. At the same time, clinicians are faced with an ever-expanding pharmacology knowledge base. Recently, point-of-care technology has become more widely available and more practical with the advent of handheld, or palmtop, computing. Therefore, the authors evaluated the clinical contribution [...]
Author(s): Rothschild, Jeffrey M, Lee, Thomas H, Bae, Taran, Bates, David W
DOI: 10.1197/jamia.m1001
Supplement 23 to DICOM (Digital Imaging and Communications for Medicine), Structured Reporting, is a specification that supports a semantically rich representation of image and waveform content, enabling experts to share image and related patient information. DICOM SR supports the representation of textual and coded data linked to images and waveforms. Nevertheless, the medical information technology community needs models that work as bridges between the DICOM relational model and open object-oriented [...]
Author(s): Tirado-Ramos, Alfredo, Hu, Jingkun, Lee, K P
DOI: 10.1136/jamia.2002.0090063
The Columbia University Informatics for Diabetes Education and Telemedicine (IDEATel) Project is a four-year demonstration project funded by the Centers for Medicare and Medicaid Services with the overall goals of evaluating the feasibility, acceptability, effectiveness, and cost-effectiveness of telemedicine in the management of older patients with diabetes. The study is designed as a randomized controlled trial and is being conducted by a state-wide consortium in New York. Eligibility requires that [...]
Author(s): Shea, Steven, Starren, Justin, Weinstock, Ruth S, Knudson, Paul E, Teresi, Jeanne, Holmes, Douglas, Palmas, Walter, Field, Lesley, Goland, Robin, Tuck, Catherine, Hripcsak, George, Capps, Linnea, Liss, David
DOI: 10.1136/jamia.2002.0090049
The benefits of computerized physician order entry have been widely recognized, although few institutions have successfully installed these systems. Obstacles to successful implementation are organizational as well as technical. In the spring of 2000, following a 4-year period of planning and customization, a 9-month pilot project, and a 14-month hiatus for year 2000, the Ohio State University Health System extensively implemented physician order entry across inpatient units. Implementation for specialty [...]
Author(s): Ahmad, Asif, Teater, Phyllis, Bentley, Thomas D, Kuehn, Lynn, Kumar, Rajee R, Thomas, Andrew, Mekhjian, Hagop S
DOI: 10.1136/jamia.2002.0090016
Author(s): Effken, Judith A, Carty, Barbara
DOI: 10.1197/jamia.m1242
Author(s): Lenert, Leslie A, Bakken, Suzanne
DOI: 10.1197/jamia.m1217
The growth of the biomedical literature presents special challenges for both human readers and automatic algorithms. One such challenge derives from the common and uncontrolled use of abbreviations in the literature. Each additional abbreviation increases the effective size of the vocabulary for a field. Therefore, to create an automatically generated and maintained lexicon of abbreviations, we have developed an algorithm to match abbreviations in text with their expansions.
Author(s): Chang, Jeffrey T, Schütze, Hinrich, Altman, Russ B
DOI: 10.1197/jamia.m1139