Advancing the state of the art in automatic extraction of adverse drug events from narratives.
Author(s): Uzuner, Özlem, Stubbs, Amber, Lenert, Leslie
DOI: 10.1093/jamia/ocz206
Author(s): Uzuner, Özlem, Stubbs, Amber, Lenert, Leslie
DOI: 10.1093/jamia/ocz206
Author(s): Lamer, Antoine, Depas, Nicolas, Doutreligne, Matthieu, Parrot, Adrien, Verloop, David, Defebvre, Marguerite-Marie, Ficheur, Grégoire, Chazard, Emmanuel, Beuscart, Jean-Baptiste
DOI: 10.1055/s-0040-1702166
The Peace Corps' disease surveillance for Peace Corps Volunteers (PCVs) was incorporated into an electronic medical records (EMR) system in 2015. We evaluated this EMR-based surveillance system, focusing particularly on malaria as it is deadly but preventable.
Author(s): Davlantes, Elizabeth, Henderson, Susan, Ferguson, Rennie W, Lewis, Lauren, Tan, Kathrine R
DOI: 10.1093/jamiaopen/ooz047
Electronic health record (EHR) data aggregated from multiple, non-affiliated, sources provide an important resource for biomedical research, including digital phenotyping. Unlike work with EHR data from a single organization, aggregate EHR data introduces a number of analysis challenges.
Author(s): Glynn, Earl F, Hoffman, Mark A
DOI: 10.1093/jamiaopen/ooz035
Most population-based cancer databases lack information on metastatic recurrence. Electronic medical records (EMR) and cancer registries contain complementary information on cancer diagnosis, treatment and outcome, yet are rarely used synergistically. To construct a cohort of metastatic breast cancer (MBC) patients, we applied natural language processing techniques within a semisupervised machine learning framework to linked EMR-California Cancer Registry (CCR) data.
Author(s): Ling, Albee Y, Kurian, Allison W, Caswell-Jin, Jennifer L, Sledge, George W, Shah, Nigam H, Tamang, Suzanne R
DOI: 10.1093/jamiaopen/ooz040
Text-messaging interventions are a promising approach to increasing physical activity in vulnerable populations. To better inform the development of a text-messaging intervention, we sought to identify barriers and facilitators to using text messaging and engaging in physical activity among patients with diabetes and comorbid depression.
Author(s): Avila-Garcia, Patricia, Hernandez-Ramos, Rosa, Nouri, Sarah S, Cemballi, Anupama, Sarkar, Urmimala, Lyles, Courtney R, Aguilera, Adrian
DOI: 10.1093/jamiaopen/ooz049
Identification of hospitalized patients with suddenly unfavorable clinical course remains challenging. Models using objective data elements from the electronic health record may miss important sources of information available to nurses.
Author(s): Romero-Brufau, Santiago, Gaines, Kim, Nicolas, Clara T, Johnson, Matthew G, Hickman, Joel, Huddleston, Jeanne M
DOI: 10.1093/jamiaopen/ooz033
Computerized clinical decision support (CDS) faces challenges to interoperability and scalability. Centralized, web-based solutions offer a mechanism to share the cost of CDS development, maintenance, and implementation across practices. Data standards have emerged to facilitate interoperability and rapid integration of such third-party CDS. This case report describes the challenges to implementation and scalability of an integrated, web-based CDS intervention for EMergency department-initiated BuprenorphinE for opioid use Disorder which will soon [...]
Author(s): Melnick, Edward R, Holland, Wesley C, Ahmed, Osama M, Ma, Anthony K, Michael, Sean S, Goldberg, Howard S, Lagier, Christian, D'Onofrio, Gail, Stachowiak, Tomek, Brandt, Cynthia, Solad, Yauheni
DOI: 10.1093/jamiaopen/ooz053
In March 2018, the Food and Drug Administration (FDA) announced its authorization of a direct-to-consumer (DTC) genetic test for three pathogenic BRCA1/2 variants. We sought to determine to whether social media discussion increased following the authorization, who was driving social media conversations, and what topics were discussed.
Author(s): Roberts, Megan C, Allen, Caitlin G, Andersen, Brittany L
DOI: 10.1093/jamiaopen/ooz037
Author(s): Koroleva, Anna, Olarte Parra, Camila, Paroubek, Patrick
DOI: 10.1093/jamiaopen/ooz044