Clinical research informatics: a growing subspecialization of biomedical informatics.
Author(s): Ohno-Machado, Lucila
DOI: 10.1093/jamia/ocy008
Author(s): Ohno-Machado, Lucila
DOI: 10.1093/jamia/ocy008
Finding relevant datasets is important for promoting data reuse in the biomedical domain, but it is challenging given the volume and complexity of biomedical data. Here we describe the development of an open source biomedical data discovery system called DataMed, with the goal of promoting the building of additional data indexes in the biomedical domain.
Author(s): Chen, Xiaoling, Gururaj, Anupama E, Ozyurt, Burak, Liu, Ruiling, Soysal, Ergin, Cohen, Trevor, Tiryaki, Firat, Li, Yueling, Zong, Nansu, Jiang, Min, Rogith, Deevakar, Salimi, Mandana, Kim, Hyeon-Eui, Rocca-Serra, Philippe, Gonzalez-Beltran, Alejandra, Farcas, Claudiu, Johnson, Todd, Margolis, Ron, Alter, George, Sansone, Susanna-Assunta, Fore, Ian M, Ohno-Machado, Lucila, Grethe, Jeffrey S, Xu, Hua
DOI: 10.1093/jamia/ocx121
The purpose of this study was to assess patient perceptions of using an interactive electronic consent (e-consent) application when deciding whether or not to grant broad consent for research use of their identifiable electronic health record (EHR) information.
Author(s): Harle, Christopher A, Golembiewski, Elizabeth H, Rahmanian, Kiarash P, Krieger, Janice L, Hagmajer, Dorothy, Mainous, Arch G, Moseley, Ray E
DOI: 10.1093/jamia/ocx145
To survey network analyses of datasets collected in the course of routine operations in health care settings and identify driving questions, methods, needs, and potential for future research.
Author(s): Brunson, Jason Cory, Laubenbacher, Reinhard C
DOI: 10.1093/jamia/ocx052
Author(s):
DOI: 10.1093/jamia/ocx086
We sought to investigate the tissue specificity of drug sensitivities in large-scale pharmacological studies and compare these associations to those found in drug clinical indications.
Author(s): Yao, Fupan, Madani Tonekaboni, Seyed Ali, Safikhani, Zhaleh, Smirnov, Petr, El-Hachem, Nehme, Freeman, Mark, Manem, Venkata Satya Kumar, Haibe-Kains, Benjamin
DOI: 10.1093/jamia/ocx062
The Vanderbilt Children's Hospital launched an innovative Technology-Based Patient and Family Engagement Consult Service in 2014. This paper describes our initial experience with this service, characterizes health-related needs of families of hospitalized children, and details the technologies recommended to promote engagement and meet needs.
Author(s): Jackson, Gretchen P, Robinson, Jamie R, Ingram, Ebone, Masterman, Mary, Ivory, Catherine, Holloway, Diane, Anders, Shilo, Cronin, Robert M
DOI: 10.1093/jamia/ocx067
Electronic medical record (EMR) computed algorithms allow investigators to screen thousands of patient records to identify specific disease cases. No computed algorithms have been developed to detect all cases of human immunodeficiency virus (HIV) infection using administrative, laboratory, and clinical documentation data outside of the Veterans Health Administration. We developed novel EMR-based algorithms for HIV detection and validated them in a cohort of subjects in the Duke University Health System [...]
Author(s): Paul, Devon W, Neely, Nigel B, Clement, Meredith, Riley, Isaretta, Al-Hegelan, Mashael, Phelan, Matthew, Kraft, Monica, Murdoch, David M, Lucas, Joseph, Bartlett, John, McKellar, Mehri, Que, Loretta G
DOI: 10.1093/jamia/ocx061
Physical abuse is a leading cause of pediatric morbidity and mortality. Physicians do not consistently screen for abuse, even in high-risk situations. Alerts in the electronic medical record may help improve screening rates, resulting in early identification and improved outcomes.
Author(s): Berger, Rachel P, Saladino, Richard A, Fromkin, Janet, Heineman, Emily, Suresh, Srinivasan, McGinn, Tom
DOI: 10.1093/jamia/ocx063
Logical Observation Identifiers Names and Codes (LOINC) is the most widely used controlled vocabulary to identify laboratory tests. A given laboratory test can often be reported in more than 1 unit of measure (eg, grams or moles), and LOINC defines unique codes for each unit. Consequently, an identical laboratory test performed by 2 different clinical laboratories may have different LOINC codes. The absence of unit conversions between compatible LOINC codes [...]
Author(s): Hauser, Ronald G, Quine, Douglas B, Ryder, Alex, Campbell, Sheldon
DOI: 10.1093/jamia/ocx056