Accuracy of references in five biomedical informatics journals.
To determine the rate and type of errors in biomedical informatics journal article references.
Author(s): Aronsky, Dominik, Ransom, Joel, Robinson, Kevin
DOI: 10.1197/jamia.M1683
To determine the rate and type of errors in biomedical informatics journal article references.
Author(s): Aronsky, Dominik, Ransom, Joel, Robinson, Kevin
DOI: 10.1197/jamia.M1683
The Georgetown University Medical Center Department of Radiology used a tailored version of OCTAVE, a self-directed information security risk assessment method, to design a teleradiology system that complied with the regulation implementing the security provisions of the Health Insurance Portability and Accountability Act (HIPAA) of 1996. The system addressed threats to and vulnerabilities in the privacy and security of protected health information. By using OCTAVE, Georgetown identified the teleradiology program's [...]
Author(s): Collmann, Jeff, Alaoui, Adil, Nguyen, Dan, Lindisch, David
DOI: 10.1197/jamia.M1404
The aim of this study was to estimate the costs of implementing computerized physician order entry (CPOE) systems in hospitals in a rural state and to evaluate the financial implications of statewide CPOE implementation.
Author(s): Ohsfeldt, Robert L, Ward, Marcia M, Schneider, John E, Jaana, Mirou, Miller, Thomas R, Lei, Yang, Wakefield, Douglas S
DOI: 10.1197/jamia.M1553
The incorporation of genomic data into personal medical records poses many challenges to patient privacy. In response, various systems for preserving patient privacy in shared genomic data have been developed and deployed. Although these systems de-identify the data by removing explicit identifiers (e.g., name, address, or Social Security number) and incorporate sound security design principles, they suffer from a lack of formal modeling of inferences learnable from shared data. This [...]
Author(s): Malin, Bradley A
DOI: 10.1197/jamia.M1603
For over thirty years, there have been predictions that the widespread clinical use of computers was imminent. Yet the "wave" has never broken. In this article, two broad time periods are examined: the 1960's to the 1980's and the 1980's to the present. Technology immaturity, health administrator focus on financial systems, application "unfriendliness," and physician resistance were all barriers to acceptance during the early time period. Although these factors persist [...]
Author(s): Berner, Eta S, Detmer, Don E, Simborg, Donald
DOI: 10.1197/jamia.M1664
Clinical decision support (CDS) in electronic prescribing (eRx) systems can improve the safety, quality, efficiency, and cost-effectiveness of care. However, at present, these potential benefits have not been fully realized. In this consensus white paper, we set forth recommendations and action plans in three critical domains: (1) advances in system capabilities, including basic and advanced sets of CDS interventions and knowledge, supporting database elements, operational features to improve usability and [...]
Author(s): Teich, Jonathan M, Osheroff, Jerome A, Pifer, Eric A, Sittig, Dean F, Jenders, Robert A, ,
DOI: 10.1197/jamia.M1822
To develop a model to store information in an electronic medical record (EMR) for the management of transplant patients. The model for storing donor information must be designed to allow clinicians to access donor information from the transplant recipient's record and to allow donor data to be stored without needlessly proliferating new Logical Observation Identifier Names and Codes (LOINC) codes for already-coded laboratory tests.
Author(s): Staes, Catherine J, Huff, Stanley M, Evans, R Scott, Narus, Scott P, Tilley, Cyndalynn, Sorensen, John B
DOI: 10.1197/jamia.M1689
Patient use of online electronic medical records (EMR) holds the potential to improve health outcomes. The purpose of this study is to discover how patients living with chronic inflammatory bowel disease (IBD) value Internet-based patient access to electronic patient records.
Author(s): Winkelman, Warren J, Leonard, Kevin J, Rossos, Peter G
DOI: 10.1197/jamia.M1712
Automated clinical decision support has shown promise in reducing medication errors; however, clinicians often do not comply with alerts. Because renal insufficiency is a common source of medication errors, the authors studied a trial of alerts designed to reduce inpatient administration of medications contraindicated due to renal insufficiency.
Author(s): Galanter, William L, Didomenico, Robert J, Polikaitis, Audrius
DOI: 10.1197/jamia.M1727
In an effort to improve patient safety, researchers at the Johns Hopkins University designed and implemented a comprehensive Web-based Intensive Care Unit Safety Reporting System (ICUSRS). The ICUSRS collects data about adverse events and near misses from all staff in the ICU. This report reflects data on 854 reports from 18 diverse ICUs across the United States. Reporting is voluntary, and data collected is confidential, with patient, provider, and reporter [...]
Author(s): Holzmueller, Christine G, Pronovost, Peter J, Dickman, Fern, Thompson, David A, Wu, Albert W, Lubomski, Lisa H, Fahey, Maureen, Steinwachs, Donald M, Engineer, Lilly, Jaffrey, Ali, Morlock, Laura L, Dorman, Todd
DOI: 10.1197/jamia.M1408