Corrigendum to: Meaningful use of health information technology and declines in in-hospital adverse drug events.
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DOI: 10.1093/jamia/ocx086
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
As part of an interdisciplinary acute care patient portal task force with members from 10 academic medical centers and professional organizations, we held a national workshop with 71 attendees representing over 30 health systems, professional organizations, and technology companies. Our consensus approach identified 7 key sociotechnical and evaluation research focus areas related to the consumption and capture of information from patients, care partners (eg, family, friends), and clinicians through portals in [...]
Author(s): Collins, Sarah, Dykes, Patricia, Bates, David W, Couture, Brittany, Rozenblum, Ronen, Prey, Jennifer, O'Reilly, Kristin, Bourie, Patricia Q, Dwyer, Cindy, Greysen, S Ryan, Smith, Jeffery, Gropper, Michael, Dalal, Anuj K
DOI: 10.1093/jamia/ocx054
The use of social media in the urologic community is common and increasing. Although the potential benefits of platforms like Twitter have been described in the literature, the use of social media in the clinical context of Urology has not been explored.In this case report, we describe how we used Twitter to share ideas about the clinical management of a complex urologic patient. By posting a clinical scenario, a timely [...]
Author(s): Sternberg, Kevan M, Loeb, Stacy L, Canes, David, Donnelly, Laura, Tsai, Mitchell H
DOI: 10.1093/jamia/ocx055
Sharing personal information about type 1 diabetes (T1D) can help adolescents obtain social support, enhance social learning, and improve self-care. Diabetes technologies, online communities, and health interventions increasingly feature data-sharing components. This study examines factors underlying adolescents' willingness to share personal T1D information with peers.
Author(s): Vaala, Sarah E, Lee, Joyce M, Hood, Korey K, Mulvaney, Shelagh A
DOI: 10.1093/jamia/ocx051
We sought to understand the types of clinical processes, such as image and medication ordering, that are disrupted during electronic health record (EHR) downtime periods by analyzing the narratives of patient safety event report data.
Author(s): Larsen, Ethan, Fong, Allan, Wernz, Christian, Ratwani, Raj M
DOI: 10.1093/jamia/ocx057