Author(s): Richesson, Rachel L, Chute, Christopher G
DOI: 10.1093/jamia/ocv039
Author(s): Richesson, Rachel L, Chute, Christopher G
DOI: 10.1093/jamia/ocv039
Social media is becoming increasingly popular as a platform for sharing personal health-related information. This information can be utilized for public health monitoring tasks, particularly for pharmacovigilance, via the use of natural language processing (NLP) techniques. However, the language in social media is highly informal, and user-expressed medical concepts are often nontechnical, descriptive, and challenging to extract. There has been limited progress in addressing these challenges, and thus far, advanced [...]
Author(s): Nikfarjam, Azadeh, Sarker, Abeed, O'Connor, Karen, Ginn, Rachel, Gonzalez, Graciela
DOI: 10.1093/jamia/ocu041
To describe the goals of the Proteomics Standards Initiative (PSI) of the Human Proteome Organization, the methods that the PSI has employed to create data standards, the resulting output of the PSI, lessons learned from the PSI's evolution, and future directions and synergies for the group.
Author(s): Deutsch, Eric W, Albar, Juan Pablo, Binz, Pierre-Alain, Eisenacher, Martin, Jones, Andrew R, Mayer, Gerhard, Omenn, Gilbert S, Orchard, Sandra, Vizcaíno, Juan Antonio, Hermjakob, Henning
DOI: 10.1093/jamia/ocv001
Markers of illness severity are increasingly captured in emergency department (ED) electronic systems, but their value for surveillance is not known. We assessed the value of age, triage score, and disposition data from ED electronic records for predicting influenza-related hospitalizations.
Author(s): Savard, Noémie, Bédard, Lucie, Allard, Robert, Buckeridge, David L
DOI: 10.1093/jamia/ocu002
In the United States, International Classification of Disease Clinical Modification (ICD-9-CM, the ninth revision) diagnosis codes are commonly used to identify patient cohorts and to conduct financial analyses related to disease. In October 2015, the healthcare system of the United States will transition to ICD-10-CM (the tenth revision) diagnosis codes. One challenge posed to clinical researchers and other analysts is conducting diagnosis-related queries across datasets containing both coding schemes. Further [...]
Author(s): Boyd, Andrew D, Li, Jianrong John, Kenost, Colleen, Joese, Binoy, Yang, Young Min, Kalagidis, Olympia A, Zenku, Ilir, Saner, Donald, Bahroos, Neil, Lussier, Yves A
DOI: 10.1093/jamia/ocu003
To evaluate the utility of applying the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) across multiple observational databases within an organization and to apply standardized analytics tools for conducting observational research.
Author(s): Voss, Erica A, Makadia, Rupa, Matcho, Amy, Ma, Qianli, Knoll, Chris, Schuemie, Martijn, DeFalco, Frank J, Londhe, Ajit, Zhu, Vivienne, Ryan, Patrick B
DOI: 10.1093/jamia/ocu023
There is a lack of recommended models for clinical informatics (CI) governance that can facilitate successful health information technology implementation.
Author(s): Collins, Sarah A, Alexander, Dana, Moss, Jacqueline
DOI: 10.1093/jamia/ocu001
The American Recovery and Reinvestment Act (ARRA) of 2009 clearly articulated the central role that health information technology (HIT) standards would play in improving healthcare quality, safety, and efficiency through the meaningful use of certified, standards based, electronic health record (EHR) technology. In 2012, the Office of the National Coordinator (ONC) asked the Nationwide Health Information Network (NwHIN) Power Team of the Health Information Technology Standards Committee (HITSC) to develop [...]
Author(s): Baker, Dixie B, Perlin, Jonathan B, Halamka, John
DOI: 10.1136/amiajnl-2014-002802
Large and complex terminologies, such as Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT), are prone to errors and inconsistencies. Abstraction networks are compact summarizations of the content and structure of a terminology. Abstraction networks have been shown to support terminology quality assurance. In this paper, we introduce an abstraction network derivation methodology which can be applied to SNOMED CT target hierarchies whose classes are defined using only hierarchical relationships (ie [...]
Author(s): Ochs, Christopher, Geller, James, Perl, Yehoshua, Chen, Yan, Agrawal, Ankur, Case, James T, Hripcsak, George
DOI: 10.1136/amiajnl-2014-003173