Preserving an integrated view of informatics.
Author(s): Bernstam, Elmer V, Tenenbaum, Jessica D, Kuperman, Gilad J
DOI: 10.1136/amiajnl-2013-002262
Author(s): Bernstam, Elmer V, Tenenbaum, Jessica D, Kuperman, Gilad J
DOI: 10.1136/amiajnl-2013-002262
Binge eating disorder (BED) does not have an International Classification of Diseases, 9th or 10th edition code, but is included under 'eating disorder not otherwise specified' (EDNOS). This historical cohort study identified patients with clinician-diagnosed BED from electronic health records (EHR) in the Department of Veterans Affairs between 2000 and 2011 using natural language processing (NLP) and compared their characteristics to patients identified by EDNOS diagnosis codes. NLP identified 1487 [...]
Author(s): Bellows, Brandon K, LaFleur, Joanne, Kamauu, Aaron W C, Ginter, Thomas, Forbush, Tyler B, Agbor, Stephen, Supina, Dylan, Hodgkins, Paul, DuVall, Scott L
DOI: 10.1136/amiajnl-2013-001859
Electronic health records (EHRs) contain information to detect adverse drug reactions (ADRs), as they contain comprehensive clinical information. A major challenge of using comprehensive information involves confounding. We propose a novel data-driven method to identify ADR signals accurately by adjusting for confounders.
Author(s): Li, Ying, Salmasian, Hojjat, Vilar, Santiago, Chase, Herbert, Friedman, Carol, Wei, Ying
DOI: 10.1136/amiajnl-2013-001718
To identify potential opportunities for drug repurposing by developing an automated approach to pre-screen the predicted proteomes of any organism against databases of known drug targets using only freely available resources.
Author(s): Sateriale, Adam, Bessoff, Kovi, Sarkar, Indra Neil, Huston, Christopher D
DOI: 10.1136/amiajnl-2013-001700
To conduct a federally funded study that examines the acquisition, implementation and operation of open source electronic health records (EHR) within safety net medical settings, such as federally qualified health centers (FQHC).
Author(s): Goldwater, Jason C, Kwon, Nancy J, Nathanson, Ashley, Muckle, Alison E, Brown, Alexa, Cornejo, Kerri
DOI: 10.1136/amiajnl-2013-001671
To develop benchmark measures of health information and communication technology (ICT) use to facilitate cross-country comparisons and learning.
Author(s): Adler-Milstein, Julia, Ronchi, Elettra, Cohen, Genna R, Winn, Laura A Pannella, Jha, Ashish K
DOI: 10.1136/amiajnl-2013-001710
Clinical databases require accurate entity resolution (ER). One approach is to use algorithms that assign questionable cases to manual review. Few studies have compared the performance of common algorithms for such a task. Furthermore, previous work has been limited by a lack of objective methods for setting algorithm parameters. We compared the performance of common ER algorithms: using algorithmic optimization, rather than manual parameter tuning, and on two-threshold classification (match/manual [...]
Author(s): Joffe, Erel, Byrne, Michael J, Reeder, Phillip, Herskovic, Jorge R, Johnson, Craig W, McCoy, Allison B, Sittig, Dean F, Bernstam, Elmer V
DOI: 10.1136/amiajnl-2013-001744
Given the complexities of the healthcare environment, efforts to develop standardized handoff practices have led to widely varying manifestations of handoff tools. A systematic review of the literature on handoff evaluation studies was performed to investigate the nature, methodological, and theoretical foundations underlying the evaluation of handoff tools and their adequacy and appropriateness in achieving standardization goals.
Author(s): Abraham, Joanna, Kannampallil, Thomas, Patel, Vimla L
DOI: 10.1136/amiajnl-2012-001351
Epilepsy encompasses an extensive array of clinical and research subdomains, many of which emphasize multi-modal physiological measurements such as electroencephalography and neuroimaging. The integration of structured, unstructured, and signal data into a coherent structure for patient care as well as clinical research requires an effective informatics infrastructure that is underpinned by a formal domain ontology.
Author(s): Sahoo, Satya S, Lhatoo, Samden D, Gupta, Deepak K, Cui, Licong, Zhao, Meng, Jayapandian, Catherine, Bozorgi, Alireza, Zhang, Guo-Qiang
DOI: 10.1136/amiajnl-2013-001696
To better understand the relationship between online health-seeking behaviors and in-world healthcare utilization (HU) by studies of online search and access activities before and after queries that pursue medical professionals and facilities.
Author(s): White, Ryen W, Horvitz, Eric
DOI: 10.1136/amiajnl-2012-001473