Activating a full architectural model: improving health through robust population health records.
Author(s): Detmer, Don Eugene
DOI: 10.1136/jamia.2010.006098
Author(s): Detmer, Don Eugene
DOI: 10.1136/jamia.2010.006098
The authors developed a computerized algorithm that estimates 'who transmits to whom'--that is, the likeliest transmission paths during an outbreak of person-to-person transmitted illness. This algorithm uses basic information about natural history of the disease, population structure, and chronology of observed symptoms. To assess the algorithm efficacy, the authors built a simulator with parameters describing the disease and the population to simulate random outbreaks of influenza. The algorithm's performance was [...]
Author(s): Lapidus, Nathanael, Carrat, Fabrice
DOI: 10.1136/jamia.2009.002832
Duplication of medical testing results in a financial burden to the healthcare system. Authors undertook a retrospective review of duplicate testing on patients receiving coordinated care across two institutions, each with its own electronic medical record system. In order to determine whether duplicate testing occurred and if such testing was clinically indicated, authors analyzed records of 85 patients transferred from one site to the other between January 1, 2006 and [...]
Author(s): Stewart, Bridget A, Fernandes, Susan, Rodriguez-Huertas, Elizabeth, Landzberg, Michael
DOI: 10.1136/jamia.2009.001750
To study how social interactions influence physician adoption of an electronic health records (EHR) system.
Author(s): Zheng, Kai, Padman, Rema, Krackhardt, David, Johnson, Michael P, Diamond, Herbert S
DOI: 10.1136/jamia.2009.000877
To identify factors in the nursing work domain that contribute to the problem of inpatient falls, aside from patient risk, using cognitive work analysis.
Author(s): Lopez, Karen Dunn, Gerling, Gregory J, Cary, Michael P, Kanak, Mary F
DOI: 10.1136/jamia.2009.000422
Under the provisions of the Health Information Technology for Economic & Clinical Health act providers need to demonstrate their 'meaningful use' of electronic health record systems' health information exchange (HIE) capability. HIE usage is not a simple construct, but the choice of its measurement must attend to the users, context, and objectives of the system being examined. This review examined how usage is reported in the existing literature and also [...]
Author(s): Vest, Joshua R, Jasperson, Jon
DOI: 10.1136/jamia.2009.000471
Recent federal policies and actions support the adoption of health information exchange (HIE) in order to improve healthcare by addressing fragmented personal health information. However, concerted efforts at facilitating HIE have existed for over two decades in this country. The lessons of these experiences include a recurrence of barriers and challenges beyond those associated with technology. Without new strategies, the current support and methods of facilitating HIE may not address [...]
Author(s): Vest, Joshua R, Gamm, Larry D
DOI: 10.1136/jamia.2010.003673
The logical observation identifiers names and codes (LOINC) database contains 55 000 terms consisting of more atomic components called parts. LOINC carries more than 18 000 distinct parts. It is necessary to have definitions/descriptions for each of these parts to assist users in mapping local laboratory codes to LOINC. It is believed that much of this information can be obtained from the internet; the first effort was with Wikipedia. This [...]
Author(s): Friedlin, Jeff, McDonald, Clement J
DOI: 10.1136/jamia.2009.001180
The authors report on the development of the Cancer Tissue Information Extraction System (caTIES)--an application that supports collaborative tissue banking and text mining by leveraging existing natural language processing methods and algorithms, grid communication and security frameworks, and query visualization methods. The system fills an important need for text-derived clinical data in translational research such as tissue-banking and clinical trials. The design of caTIES addresses three critical issues for informatics [...]
Author(s): Crowley, Rebecca S, Castine, Melissa, Mitchell, Kevin, Chavan, Girish, McSherry, Tara, Feldman, Michael
DOI: 10.1136/jamia.2009.002295
Current models for implementing electronic health records (EHRs) in resource-limited settings may not be scalable because they fail to address human-resource and cost constraints. This paper describes an implementation model which relies on shared responsibility between local sites and an external three-pronged support infrastructure consisting of: (1) a national technical expertise center, (2) an implementer's community, and (3) a developer's community. This model was used to implement an open-source EHR [...]
Author(s): Were, Martin C, Emenyonu, Nneka, Achieng, Marion, Shen, Changyu, Ssali, John, Masaba, John P M, Tierney, William M
DOI: 10.1136/jamia.2009.002303