NIH's Big Data to Knowledge initiative and the advancement of biomedical informatics.
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2014-002666
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2014-002666
To determine whether assisted annotation using interactive training can reduce the time required to annotate a clinical document corpus without introducing bias.
Author(s): Gobbel, Glenn T, Garvin, Jennifer, Reeves, Ruth, Cronin, Robert M, Heavirland, Julia, Williams, Jenifer, Weaver, Allison, Jayaramaraja, Shrimalini, Giuse, Dario, Speroff, Theodore, Brown, Steven H, Xu, Hua, Matheny, Michael E
DOI: 10.1136/amiajnl-2013-002255
As more electronic health records have become available during the last decade, we aimed to uncover recent trends in use of electronically available patient data by electronic surveillance systems for healthcare associated infections (HAIs) and identify consequences for system effectiveness.
Author(s): de Bruin, Jeroen S, Seeling, Walter, Schuh, Christian
DOI: 10.1136/amiajnl-2013-002089
The outpatient clinical note documents the clinician's information collection, problem assessment, and patient management, yet there is currently no validated instrument to measure the quality of the electronic clinical note. This study evaluated the validity of the QNOTE instrument, which assesses 12 elements in the clinical note, for measuring the quality of clinical notes. It also compared its performance with a global instrument that assesses the clinical note as a [...]
Author(s): Burke, Harry B, Hoang, Albert, Becher, Dorothy, Fontelo, Paul, Liu, Fang, Stephens, Mark, Pangaro, Louis N, Sessums, Laura L, O'Malley, Patrick, Baxi, Nancy S, Bunt, Christopher W, Capaldi, Vincent F, Chen, Julie M, Cooper, Barbara A, Djuric, David A, Hodge, Joshua A, Kane, Shawn, Magee, Charles, Makary, Zizette R, Mallory, Renee M, Miller, Thomas, Saperstein, Adam, Servey, Jessica, Gimbel, Ronald W
DOI: 10.1136/amiajnl-2013-002321
Malfunctions or poor usability of devices measuring glucose or delivering insulin are reportable to the FDA. Manufacturers submit 99.9% of these reports. We test online social networks as a complementary source to traditional FDA reporting of device-related adverse events.
Author(s): Mandl, Kenneth D, McNabb, Marion, Marks, Norman, Weitzman, Elissa R, Kelemen, Skyler, Eggleston, Emma M, Quinn, Maryanne
DOI: 10.1136/amiajnl-2013-002127
Author(s): Middleton, Blackford, Fickenscher, Kevin M
DOI: 10.1136/amiajnl-2013-002537
Tuberculosis (TB) surveillance in China is organized through a nationwide network of about 3200 hospitals and health facilities. In 2005, an electronic Tuberculosis Information Management System (TBIMS) started to be phased in to replace paper recording. The TBIMS collects key information on TB cases notified in TB care facilities, and exchanges real-time data with the Infectious Disease Reporting System, which covers the country's 37 notifiable diseases. The system is accessible [...]
Author(s): Huang, Fei, Cheng, ShiMing, Du, Xin, Chen, Wei, Scano, Fabio, Falzon, Dennis, Wang, Lixia
DOI: 10.1136/amiajnl-2013-002001
There is currently limited information on best practices for the development of governance requirements for distributed research networks (DRNs), an emerging model that promotes clinical data reuse and improves timeliness of comparative effectiveness research. Much of the existing information is based on a single type of stakeholder such as researchers or administrators. This paper reports on a triangulated approach to developing DRN data governance requirements based on a combination of [...]
Author(s): Kim, Katherine K, Browe, Dennis K, Logan, Holly C, Holm, Roberta, Hack, Lori, Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2013-002308
Real-time alerting systems typically warn providers about abnormal laboratory results or medication interactions. For more complex tasks, institutions create site-wide 'data warehouses' to support quality audits and longitudinal research. Sophisticated systems like i2b2 or Stanford's STRIDE utilize data warehouses to identify cohorts for research and quality monitoring. However, substantial resources are required to install and maintain such systems. For more modest goals, an organization desiring merely to identify patients with [...]
Author(s): Rosenbaum, Benjamin P, Silkin, Nikolay, Miller, Randolph A
DOI: 10.1136/amiajnl-2013-001950
UK primary care databases, which contain diagnostic, demographic and prescribing information for millions of patients geographically representative of the UK, represent a significant resource for health services and clinical research. They can be used to identify patients with a specified disease or condition (phenotyping) and to investigate patterns of diagnosis and symptoms. Currently, extracting such information manually is time-consuming and requires considerable expertise. In order to exploit more fully the [...]
Author(s): Tate, A Rosemary, Beloff, Natalia, Al-Radwan, Balques, Wickson, Joss, Puri, Shivani, Williams, Timothy, Van Staa, Tjeerd, Bleach, Adrian
DOI: 10.1136/amiajnl-2013-001847