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
Patient access to their electronic health care record (EHR) and Web-based communication between patients and providers can potentially improve the quality of health care, but little is known about patients' attitudes toward this combined electronic access. The objective of our study was to evaluate patients' values and perceptions regarding Web-based communication with their primary care providers in the context of access to their electronic health care record.
Author(s): Hassol, Andrea, Walker, James M, Kidder, David, Rokita, Kim, Young, David, Pierdon, Steven, Deitz, Deborah, Kuck, Sarah, Ortiz, Eduardo
DOI: 10.1197/jamia.M1593
The aim of this study was to determine characteristics of drug allergy alert overrides, assess how often they lead to preventable adverse drug events (ADEs), and suggest methods for improving the allergy-alerting system.
Author(s): Hsieh, Tyken C, Kuperman, Gilad J, Jaggi, Tonushree, Hojnowski-Diaz, Patricia, Fiskio, Julie, Williams, Deborah H, Bates, David W, Gandhi, Tejal K
DOI: 10.1197/jamia.M1556
Query Integrator System (QIS) is a database mediator framework intended to address robust data integration from continuously changing heterogeneous data sources in the biosciences. Currently in the advanced prototype stage, it is being used on a production basis to integrate data from neuroscience databases developed for the SenseLab project at Yale University with external neuroscience and genomics databases. The QIS framework uses standard technologies and is intended to be deployable [...]
Author(s): Marenco, Luis, Wang, Tzuu-Yi, Shepherd, Gordon, Miller, Perry L, Nadkarni, Prakash
DOI: 10.1197/jamia.M1506
Author(s): Sands, Daniel Z
DOI: 10.1197/jamia.m1576
The Medical Informatics Network Tool (MINT) is a software system that supports the management of care for chronic illness. It is designed to improve clinical information, facilitate teamwork, and allow management of health care quality. MINT includes a browser interface for entry and organization of data and preparation of real-time reports. It includes personal computer-based applications that interact with clinicians. MINT is being used in a project to improve the [...]
Author(s): Young, Alexander S, Mintz, Jim, Cohen, Amy N, Chinman, Matthew J
DOI: 10.1197/jamia.M1492
Do-not-resuscitate (DNR) orders and advance directives are increasingly prevalent and may affect medical interventions and outcomes. Simple, automated techniques to identify patients with DNR orders do not currently exist but could help avoid costly and time-consuming chart review. This study hypothesized that a decision to withhold cardiopulmonary resuscitation would be included in a patient's dictated reports. The authors developed and validated a simple computerized search method, which screens dictated reports [...]
Author(s): Aronsky, Dominik, Kasworm, Evelyn, Jacobson, Jay A, Haug, Peter J, Dean, Nathan C
DOI: 10.1197/jamia.M1518
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
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