Using computer technology to detect, measure, and prevent adverse drug events.
Author(s): Gardner, Reed M, Evans, R Scott
DOI: 10.1197/jamia.M1651
Author(s): Gardner, Reed M, Evans, R Scott
DOI: 10.1197/jamia.M1651
The authors report on the development and evaluation of a novel patient-centered technology that promotes capture of critical information necessary to drive guideline-based care for pediatric asthma. The design of this application, the asthma kiosk, addresses five critical issues for patient-centered technology that promotes guideline-based care: (1) a front-end mechanism for patient-driven data capture, (2) neutrality regarding patients' medical expertise and technical backgrounds, (3) granular capture of medication data directly [...]
Author(s): Porter, Stephen C, Cai, Zhaohui, Gribbons, William, Goldmann, Donald A, Kohane, Isaac S
DOI: 10.1197/jamia.M1569
Recent reports have identified medical errors as a significant cause of morbidity and mortality among patients. A variety of approaches have been implemented to identify errors and their causes. These approaches include retrospective reporting and investigation of errors and adverse events and prospective analyses for identifying hazardous situations. The above approaches, along with other sources, contribute to data that are used to analyze patient safety risks. A variety of data [...]
Author(s): Boxwala, Aziz A, Dierks, Meghan, Keenan, Maura, Jackson, Susan, Hanscom, Robert, Bates, David W, Sato, Luke
DOI: 10.1197/jamia.M1317
The U.S. Veterans Health Administration (VHA)'s Quality Enhancement Research Initiative (QUERI) is an innovative integration of health services research, policy, and clinical care delivery designed to improve the quality, outcomes, and efficiency of VHA health care through the identification and implementation of evidence-based practices in routine care settings. A total of eight condition-specific QUERI centers are currently in operation, each pursuing an integrated portfolio of activities designed to identify and [...]
Author(s): McQueen, Lynn, Mittman, Brian S, Demakis, John G
DOI: 10.1197/jamia.M1499
The aim of this study was to develop a method based on natural language processing (NLP) that automatically maps an entire clinical document to codes with modifiers and to quantitatively evaluate the method.
Author(s): Friedman, Carol, Shagina, Lyudmila, Lussier, Yves, Hripcsak, George
DOI: 10.1197/jamia.M1552
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
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
Author(s): McDonald, Clement J, Overhage, J Marc, Mamlin, Burke W, Dexter, Paul D, Tierney, William M
DOI: 10.1197/jamia.M1488
The Unified Medical Language System's (UMLS's) Semantic Network's (SN's) two-tree structure is restrictive because it does not allow a semantic type to be a specialization of several other semantic types. In this article, the SN is expanded into a multiple subsumption structure with a directed acyclic graph (DAG) IS-A hierarchy, allowing a semantic type to have multiple parents. New viable IS-A links are added as warranted.
Author(s): Zhang, Li, Perl, Yehoshua, Halper, Michael, Geller, James, Cimino, James J
DOI: 10.1197/jamia.M1269
To determine the availability of inpatient computerized physician order entry in U.S. hospitals and the degree to which physicians are using it.
Author(s): Ash, Joan S, Gorman, Paul N, Seshadri, Veena, Hersh, William R
DOI: 10.1197/jamia.M1427