Telehealth: the need for evaluation redux.
Author(s): Hersh, William R, Patterson, Patricia K, Kraemer, Dale F
DOI: 10.1136/jamia.2002.0090089
Author(s): Hersh, William R, Patterson, Patricia K, Kraemer, Dale F
DOI: 10.1136/jamia.2002.0090089
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 goal of evaluating the feasibility, acceptability, effectiveness, and cost-effectiveness of telemedicine. The focal point of the intervention is the home telemedicine unit (HTU), which provides four functions: synchronous videoconferencing over standard telephone lines, electronic transmission for fingerstick glucose and blood pressure readings [...]
Author(s): Starren, Justin, Hripcsak, George, Sengupta, Soumitra, Abbruscato, C R, Knudson, Paul E, Weinstock, Ruth S, Shea, Steven
DOI: 10.1136/jamia.2002.0090025
Author(s): Elkin, Peter L, Gorman, Paul N
DOI: 10.1197/jamia.m1244
Is the solution for medical errors medical or cognitive? In this AMIA2001 panel on medical error, we argued that medical error is primarily an issue for cognitive science and engineering, not for medicine, although the knowledge of the practice of medicine is essential for the research and prevention of medical errors. The three panelists presented studies that demonstrate that cognitive research is the foundation for theories of medical errors and [...]
Author(s): Zhang, Jiajie, Patel, Vimla L, Johnson, Todd R
DOI: 10.1197/jamia.m1232
The search filters in PubMed have become a cornerstone in information retrieval in evidence-based practice. However, the filter for diagnostic studies is not fully satisfactory, because sensitive searches have low precision. The objective of this study was to construct and validate better search strategies to identify diagnostic articles recorded on MEDLINE with special emphasis on precision.
Author(s): Bachmann, Lucas M, Coray, Reto, Estermann, Pius, Ter Riet, Gerben
DOI: 10.1197/jamia.m1124
To extend the Clinical LOINC (Logical Observation Identifiers, Names, and Codes) semantic schema to support (1) the representation of common types of assessment instruments and (2) the disambiguation of versions and variants that may have differing reliability and validity.
Author(s): White, Thomas M, Hauan, Michael J
DOI: 10.1197/jamia.m1033
In addition to providing new capabilities, the introduction of technology in complex, sociotechnical systems, such as health care and aviation, can have unanticipated side effects on technical, social, and organizational dimensions. To identify potential accidents in the making, the authors looked for side effects from a natural experiment, the implementation of bar code medication administration (BCMA), a technology designed to reduce adverse drug events (ADEs).
Author(s): Patterson, Emily S, Cook, Richard I, Render, Marta L
DOI: 10.1197/jamia.m1061
Computer technology from the management of individual patient medical records to the tracking of epidemiologic trends has become an essential part of all aspects of modern medicine. Consequently, computers, including bedside components, point-of-care testing equipment, and handheld computer devices, are increasingly present in patients' rooms. Recent articles have indicated that computer hardware, just as other medical equipment, may act as a reservoir for microorganisms and contribute to the transfer of [...]
Author(s): Neely, Alice N, Sittig, Dean F
DOI: 10.1197/jamia.m1082
Define, extract and evaluate potential performance indicators from computer-generated data collected during simulated clinical female pelvic examinations.
Author(s): Pugh, Carla M, Youngblood, Patricia
DOI: 10.1197/jamia.m1107