On improving the implementation of automatic updating of systematic reviews.
Author(s): Koroleva, Anna, Olarte Parra, Camila, Paroubek, Patrick
DOI: 10.1093/jamiaopen/ooz044
Author(s): Koroleva, Anna, Olarte Parra, Camila, Paroubek, Patrick
DOI: 10.1093/jamiaopen/ooz044
Health care systems are increasingly utilizing electronic medical record-associated patient portals to facilitate communication with patients and between providers and their patients. These patient portals are growing in recognition as potentially valuable research tools. While there is much information about the response rates and demographics of internet-based surveys as well as the demographics of patients who are portal members, not much is known about the response rate of internet-based surveys [...]
Author(s): Peltz-Rauchman, Cathryn D, Divine, George, McLaren, Daniel, Rubinfeld, Ilan S, Conway, William A, Allard, David, Johnson, Christine Cole
DOI: 10.1093/jamiaopen/ooz061
Author(s): Sarkar, Indra Neil
DOI: 10.1093/jamiaopen/ooz070
Video telehealth technology has the potential to enhance access for patients with clinical, social, and geographic barriers to care. We evaluated the implementation of a US Department of Veterans Affairs (VA) initiative to distribute tablets to high-need Veterans with access barriers.
Author(s): Zulman, Donna M, Wong, Emily P, Slightam, Cindie, Gregory, Amy, Jacobs, Josephine C, Kimerling, Rachel, Blonigen, Daniel M, Peters, John, Heyworth, Leonie
DOI: 10.1093/jamiaopen/ooz024
This case study describes the implementation of the Research Electronic Data Capture (REDCap) software at the United States Department of Veterans Affairs Veterans Health Administration (VA). VA REDCap enables secure and standardized data collection, fosters collaboration with external researchers through use of a widely used data management tool, facilitates multisite studies through use of data forms that can be shared across sites within and outside the VA, is well suited [...]
Author(s): Paris, Bonnie L, Hynes, Denise M
DOI: 10.1093/jamiaopen/ooz017
The purpose of this article is to describe the current nursing problem list subset of Systematized Nomenclature of Medicine Clinical Terms (NPLS) coverage of the American Nurses Association (ANA) recognized standardized nursing terminologies (SNTs) and to identify potential ways to expand and enhance the utility of this list.
Author(s): Kim, Junglyun, Yao, Yingwei, Macieira, Tamara Goncalves Rezende, Keenan, Gail
DOI: 10.1093/jamiaopen/ooz023
Identifying new relations between medical entities, such as drugs, diseases, and side effects, is typically a resource-intensive task, involving experimentation and clinical trials. The increased availability of related data and curated knowledge enables a computational approach to this task, notably by training models to predict likely relations. Such models rely on meaningful representations of the medical entities being studied. We propose a generic features vector representation that leverages co-occurrences of [...]
Author(s): Spiro, Adam, Fernández García, Jonatan, Yanover, Chen
DOI: 10.1093/jamiaopen/ooz022
Structured diagnosis (DX) are crucial for secondary use of electronic health record (EHR) data. However, they are often suboptimally recorded. Our previous work showed initial evidence of variable DX recording patterns in oncology charts even after biopsy records are available.
Author(s): Diaz-Garelli, Jose-Franck, Strowd, Roy, Ahmed, Tamjeed, Wells, Brian J, Merrill, Rebecca, Laurini, Javier, Pasche, Boris, Topaloglu, Umit
DOI: 10.1093/jamiaopen/ooz020
To provide an open-source software package for determining temporal correlations between disease states using longitudinal electronic medical records (EMR).
Author(s): Lin, Huaiying, Rong, Ruichen, Gao, Xiang, Revanna, Kashi, Zhao, Michael, Bajic, Petar, Jin, David, Hu, Chengjun, Dong, Qunfeng
DOI: 10.1093/jamiaopen/ooz031
To predict 72-h and 9-day emergency department (ED) return by using gradient boosting on an expansive set of clinical variables from the electronic health record.
Author(s): Hong, Woo Suk, Haimovich, Adrian Daniel, Taylor, Richard Andrew
DOI: 10.1093/jamiaopen/ooz019