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 technology can support the implementation of clinical research findings in practice settings. Technology can address the quality gap in health care by providing automated decision support to clinicians that integrates guideline knowledge with electronic patient data to present real-time, patient-specific recommendations. However, technical success in implementing decision support systems may not translate directly into system use by clinicians. Successful technology integration into clinical work settings requires explicit attention to [...]
Author(s): Goldstein, Mary K, Coleman, Robert W, Tu, Samson W, Shankar, Ravi D, O'Connor, Martin J, Musen, Mark A, Martins, Susana B, Lavori, Philip W, Shlipak, Michael G, Oddone, Eugene, Advani, Aneel A, Gholami, Parisa, Hoffman, Brian B
DOI: 10.1197/jamia.M1534
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
The incidence of adverse drug reactions may be decreased by computerized physician order entry (CPOE) with decision support. The authors describe the development of a drug database model for computer-supported dose adjustment within a CPOE system. The following two core elements were included: (1) To allow electronic dose and volume calculation, the relation between strength (e.g., 5 mg/1 mL) and prescribed unit (e.g., 1 ampoule containing 2 mL) must be [...]
Author(s): Martin, Peter, Haefeli, Walter E, Martin-Facklam, Meret
DOI: 10.1197/jamia.M1296
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
Care providers' adoption of computer-based health-related documentation ("note capture") tools has been limited, even though such tools have the potential to facilitate information gathering and to promote efficiency of clinical charting. The authors have developed and deployed a computerized note-capture tool that has been made available to end users through a care provider order entry (CPOE) system already in wide use at Vanderbilt. Overall note-capture tool usage between January 1 [...]
Author(s): Rosenbloom, S Trent, Grande, Jonathan, Geissbuhler, Antoine, Miller, Randolph A
DOI: 10.1197/jamia.M1461
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