National Centers for Biomedical Computing: from the BISTI report to the future.
Author(s): Berg, Jeremy M
DOI: 10.1136/amiajnl-2011-000800
Author(s): Berg, Jeremy M
DOI: 10.1136/amiajnl-2011-000800
To evaluate data fragmentation across healthcare centers with regard to the accuracy of a high-throughput clinical phenotyping (HTCP) algorithm developed to differentiate (1) patients with type 2 diabetes mellitus (T2DM) and (2) patients with no diabetes.
Author(s): Wei, Wei-Qi, Leibson, Cynthia L, Ransom, Jeanine E, Kho, Abel N, Caraballo, Pedro J, Chai, High Seng, Yawn, Barbara P, Pacheco, Jennifer A, Chute, Christopher G
DOI: 10.1136/amiajnl-2011-000597
Little is known about physicians' perception of the ease or difficulty of implementing electronic health records (EHR). This study identified factors related to the perceived difficulty of implementing EHR. 163 physicians completed surveys before and after the implementation of EHR in an externally funded pilot program in three Massachusetts communities. Ordinal hierarchical logistic regression was used to identify baseline factors that correlated with physicians' report of difficulty with EHR implementation [...]
Author(s): Fleurant, Marshall, Kell, Rachel, Jenter, Chelsea, Volk, Lynn A, Zhang, Fang, Bates, David W, Simon, Steven R
DOI: 10.1136/amiajnl-2011-000689
The authors developed a computer-based general medical history to be taken by patients in their homes over the internet before their first visit with their primary care doctor, and asked six doctors and their participating patients to assess this history and its effect on their subsequent visit. Forty patients began the history; 32 completed the history and post-history assessment questionnaire and were for the most part positive in their assessment [...]
Author(s): Slack, Warner V, Kowaloff, Hollis B, Davis, Roger B, Delbanco, Tom, Locke, Steven E, Safran, Charles, Bleich, Howard L
DOI: 10.1136/amiajnl-2011-000580
The relationship between diseases and their causative genes can be complex, especially in the case of polygenic diseases. Further exacerbating the challenges in their study is that many genes may be causally related to multiple diseases. This study explored the relationship between diseases through the adaptation of an approach pioneered in the context of information retrieval: vector space models.
Author(s): Sarkar, Indra Neil
DOI: 10.1136/amiajnl-2011-000480
To develop a theoretically informed and empirically validated survey instrument for assessing prescribers' perception of computerized drug-drug interaction (DDI) alerts.
Author(s): Zheng, Kai, Fear, Kathleen, Chaffee, Bruce W, Zimmerman, Christopher R, Karls, Edward M, Gatwood, Justin D, Stevenson, James G, Pearlman, Mark D
DOI: 10.1136/amiajnl-2010-000053
Tobacco use is increasingly prevalent among vulnerable populations, such as people living in rural Appalachian communities. Owing to limited access to a reliable internet service in such settings, there is no widespread adoption of electronic data capture tools for conducting community-based research. By integrating the REDCap data collection application with a custom synchronization tool, the authors have enabled a workflow in which field research staff located throughout the Ohio Appalachian [...]
Author(s): Borlawsky, Tara B, Lele, Omkar, Jensen, Daniel, Hood, Nancy E, Wewers, Mary Ellen
DOI: 10.1136/amiajnl-2011-000354
The National Institute of Allergy and Infectious Diseases (NIAID) Division of AIDS (DAIDS) Enterprise Information System (DAIDS-ES) is a web-based system that supports NIAID in the scientific, strategic, and tactical management of its global clinical research programs for HIV/AIDS vaccines, prevention, and therapeutics. Different from most commercial clinical trials information systems, which are typically protocol-driven, the DAIDS-ES was built to exchange information with those types of systems and integrate it [...]
Author(s): Kagan, Jonathan M, Gupta, Nitin, Varghese, Suresh, Virkar, Hemant
DOI: 10.1136/amiajnl-2011-000114
To develop a semantic representation for clinical research eligibility criteria to automate semistructured information extraction from eligibility criteria text.
Author(s): Weng, Chunhua, Wu, Xiaoying, Luo, Zhihui, Boland, Mary Regina, Theodoratos, Dimitri, Johnson, Stephen B
DOI: 10.1136/amiajnl-2011-000321
Little information exists concerning SNOMED CT (systematized nomenclature of medicine-clinical terms) users. This report describes current impressions and preferences of direct SNOMED CT users regarding coverage, quality, and concept details, and the change request mechanism.
Author(s): Elhanan, Gai, Perl, Yehoshua, Geller, James
DOI: 10.1136/amiajnl-2011-000341