Computer alerts for potassium testing: resisting the temptation of a blanket approach.
Author(s): Atreja, Ashish, Mehta, Neil, Jain, Anil, Harris, C Martin
DOI: 10.1197/jamia.M1585
Author(s): Atreja, Ashish, Mehta, Neil, Jain, Anil, Harris, C Martin
DOI: 10.1197/jamia.M1585
Information systems are increasingly important for measuring and improving health care quality. A number of integrated health care delivery systems use advanced information systems and integrated decision support to carry out quality assurance activities, but none as large as the Veterans Health Administration (VHA). The VHA's Quality Enhancement Research Initiative (QUERI) is a large-scale, multidisciplinary quality improvement initiative designed to ensure excellence in all areas where VHA provides health care [...]
Author(s): Hynes, Denise M, Perrin, Ruth A, Rappaport, Steven, Stevens, Joanne M, Demakis, John G
DOI: 10.1197/jamia.M1548
A gap exists between the information contained in published clinical practice guidelines and the knowledge and information that are necessary to implement them. This work describes a process to systematize and make explicit the translation of document-based knowledge into workflow-integrated clinical decision support systems.
Author(s): Shiffman, Richard N, Michel, George, Essaihi, Abdelwaheb, Thornquist, Elizabeth
DOI: 10.1197/jamia.M1444
Author(s): Stead, William W
DOI: 10.1197/jamia.m1523
This report describes XDesc (eXperiment Description), a pilot project that serves as a case study exploring the degree to which an informatics capability developed in a clinical application can be ported for use in the biosciences. In particular, XDesc uses the Entity-Attribute-Value database implementation (including a great deal of metadata-based functionality) developed in TrialDB, a clinical research database, for use in describing the samples used in microarray experiments stored in [...]
Author(s): Shifman, Mark A, Srivastava, Ranjana, Brandt, Cynthia A, Li, Tong-Ruei, White, Kevin, Miller, Perry L
DOI: 10.1197/jamia.M1458
This report describes an innovative training program designed to foster entrepreneurship and professionalism in students interested in the field of medical informatics. The course was developed through a private-public interinstitutional collaboration involving four academic institutions, one private firm specializing in health care information management systems, and a philanthropic organization. The program challenged students to serve in multiple roles on multidisciplinary teams and develop an innovative hand-held solution for drug information [...]
Author(s): Carroll, Cathryn A, Rychlewski, Walt, Teat, Marty, Clawson, Darrin
DOI: 10.1197/jamia.M1463
Health care providers are beginning to deliver a range of Internet-based services to patients; however, it is not clear which of these e-health services patients need or desire. The authors propose that patients' acceptance of provider-delivered e-health can be modeled in advance of application development by measuring the effects of several key antecedents to e-health use and applying models of acceptance developed in the information technology (IT) field.
Author(s): Wilson, E Vance, Lankton, Nancy K
DOI: 10.1197/jamia.M1475
Automated clinical decision support (CDS) has shown promise in improving safe medication use. The authors performed a trial of CDS, given both during computerized physician order entry (CPOE) and in response to new laboratory results, comparing the time courses of clinician behaviors related to digoxin use before and after implementation of the alerts.
Author(s): Galanter, William L, Polikaitis, Audrius, DiDomenico, Robert J
DOI: 10.1197/jamia.M1500
This study quantified the ease of use for patients and providers of a microcomputer-based, computer-assisted interview (CAI) system for the serial collection of the American College of Rheumatology Patient Assessment (ACRPA) questionnaire in routine outpatient clinical care in an urban rheumatology clinic.
Author(s): Williams, Carl A, Templin, Thomas, Mosley-Williams, Angelia D
DOI: 10.1197/jamia.M1527
The aim of this study was to investigate relations among different aspects in supervised word sense disambiguation (WSD; supervised machine learning for disambiguating the sense of a term in a context) and compare supervised WSD in the biomedical domain with that in the general English domain.
Author(s): Liu, Hongfang, Teller, Virginia, Friedman, Carol
DOI: 10.1197/jamia.M1533