Continuing the journey toward semantic interoperability in clinical care and biomedical and health research.
Author(s): Bakken, Suzanne
DOI: 10.1093/jamia/ocac128
Author(s): Bakken, Suzanne
DOI: 10.1093/jamia/ocac128
Author(s): Tarabichi, Yasir, Thornton, J Daryl
DOI: 10.1093/jamia/ocac118
Author(s): Kukhareva, Polina, Caverly, Tanner, Kawamoto, Kensaku
DOI: 10.1093/jamia/ocac119
The HL7® fast healthcare interoperability resources (FHIR®) specification has emerged as the leading interoperability standard for the exchange of healthcare data. We conducted a scoping review to identify trends and gaps in the use of FHIR for clinical research.
Author(s): Duda, Stephany N, Kennedy, Nan, Conway, Douglas, Cheng, Alex C, Nguyen, Viet, Zayas-Cabán, Teresa, Harris, Paul A
DOI: 10.1093/jamia/ocac105
The Rapid Acceleration of Diagnostics-Underserved Populations (RADx-UP) program is a consortium of community-engaged research projects with the goal of increasing access to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) tests in underserved populations. To accelerate clinical research, common data elements (CDEs) were selected and refined to standardize data collection and enhance cross-consortium analysis.
Author(s): Carrillo, Gabriel A, Cohen-Wolkowiez, Michael, D'Agostino, Emily M, Marsolo, Keith, Wruck, Lisa M, Johnson, Laura, Topping, James, Richmond, Al, Corbie, Giselle, Kibbe, Warren A
DOI: 10.1093/jamia/ocac097
Deep learning models for clinical event forecasting (CEF) based on a patient's medical history have improved significantly over the past decade. However, their transition into practice has been limited, particularly for diseases with very low prevalence. In this paper, we introduce CEF-CL, a novel method based on contrastive learning to forecast in the face of a limited number of positive training instances.
Author(s): Zhang, Ziqi, Yan, Chao, Zhang, Xinmeng, Nyemba, Steve L, Malin, Bradley A
DOI: 10.1093/jamia/ocac086
To describe adaptations necessary for effective use of direct-to-consumer (DTC) cameras in an inpatient setting, from the perspective of health care workers.
Author(s): Gorbenko, Ksenia, Mohammed, Afrah, Ezenwafor, Edward I I, Phlegar, Sydney, Healy, Patrick, Solly, Tamara, Nembhard, Ingrid, Xenophon, Lucy, Smith, Cardinale, Freeman, Robert, Reich, David, Mazumdar, Madhu
DOI: 10.1093/jamia/ocac081
After a new electronic health record (EHR) was implemented at Mayo Clinic, a training program called reBoot Camp was created to enhance ongoing education in response to needs identified by physician leaders.
Author(s): Gordon, Joel E, Belford, Sylvia M, Aranguren, Dawn L, Blair, David, Fleming, Richard, Gajarawala, Nikunj M, Heiderscheit, Jon, Laabs, Susan B, Looft, Kathryn A, Rosedahl, Jordan K, O'Horo, John C
DOI: 10.1093/jamia/ocac107
We sought to ascertain perceived factors affecting women's career development efforts in the American Medical Informatics Association (AMIA) and to provide recommendations for improvements.
Author(s): Wei, Duo Helen, Kukhareva, Polina V, Tao, Donghua, Sordo, Margarita, Pandita, Deepti, Dua, Prerna, Banerjee, Imon, Abraham, Joanna
DOI: 10.1093/jamia/ocac101
Both academic medical centers and biomedical research sponsors need to understand impact of scientific funding to determine value. For the National Institutes of Health (NIH) Clinical and Translational Science Award (CTSA) hubs, tracking research activities can be complex, often involving multiple institutions and continually changing federal reporting requirements. Existing research administrative systems are institution-specific and tend to focus only on parts of a greater whole. The goal of this case [...]
Author(s): Wood, Elizabeth A, Campion, Thomas R
DOI: 10.1093/jamia/ocac100