Pragmatics of implementing guidelines on the front lines.
Author(s): Waitman, Lemuel R, Miller, Randolph A
DOI: 10.1197/jamia.m1621
Author(s): Waitman, Lemuel R, Miller, Randolph A
DOI: 10.1197/jamia.m1621
The AMIA 2003 Spring Congress entitled "Bridging the Digital Divide: Informatics and Vulnerable Populations" convened 178 experts including medical informaticians, health care professionals, government leaders, policy makers, researchers, health care industry leaders, consumer advocates, and others specializing in health care provision to underserved populations. The primary objective of this working congress was to develop a framework for a national agenda in information and communication technology to enhance the health and [...]
Author(s): Chang, Betty L, Bakken, Suzanne, Brown, S Scott, Houston, Thomas K, Kreps, Gary L, Kukafka, Rita, Safran, Charles, Stavri, P Zoe
DOI: 10.1197/jamia.M1535
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
The authors have developed the Genetics Home Reference, a consumer resource that addresses the health implications of the Human Genome Project. The research results made possible by the Human Genome Project are being made available increasingly in scientific databases on the Internet, but, because of the often highly technical nature of these databases, they are not readily accessible to the lay public. The authors' goal is to provide a bridge [...]
Author(s): Mitchell, Joyce A, Fun, Jane, McCray, Alexa T
DOI: 10.1197/jamia.M1549
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
To survey a cross section of patients presenting to three urban primary care clinics to understand online health information search behaviors.
Author(s): Dickerson, Suzanne, Reinhart, Amber M, Feeley, Thomas Hugh, Bidani, Rakesh, Rich, Ellen, Garg, Vinod K, Hershey, Charles O
DOI: 10.1197/jamia.M1460
Author(s): Sands, Daniel Z
DOI: 10.1197/jamia.m1576
The aim of this study was to evaluate the experiences of patients and physicians in a clinical trial of an online electronic medical record (SPPARO, System Providing Patients Access to Records Online).
Author(s): Earnest, Mark A, Ross, Stephen E, Wittevrongel, Loretta, Moore, Laurie A, Lin, Chen-Tan
DOI: 10.1197/jamia.M1479
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