Health information technology and patient safety.
Author(s): Ohno-Machado, Lucila
DOI: 10.1093/jamia/ocx008
Author(s): Ohno-Machado, Lucila
DOI: 10.1093/jamia/ocx008
A major focus of health care today is a strong emphasis on improving the health and quality of care for entire patient populations. One common approach utilizes electronic clinical alerts to prompt clinicians when certain interventions are due for individual patients being seen. However, these alerts have not been consistently effective, particularly for less visible (though important) conditions such as hearing loss (HL) screening.
Author(s): Zazove, Philip, McKee, Michael, Schleicher, Lauren, Green, Lee, Kileny, Paul, Rapai, Mary, Mulhem, Elie
DOI: 10.1093/jamia/ocw178
To develop a descriptive model of structural characteristics of mHealth in the context of newborn nutrition, and to assess the effects of illustrative interventions through a mixed-methods study consisting of an impact evaluation and a qualitative assessment.
Author(s): Prieto, José Tomás, Zuleta, Clara, Rodríguez, Jorge Tulio
DOI: 10.1093/jamia/ocw102
Although omics datasets represent valuable assets for hypothesis generation, model testing, and data validation, the infrastructure supporting their reuse lacks organization and consistency. Using nuclear receptor signaling transcriptomic datasets as proof of principle, we developed a model to improve the discoverability, accessibility, and citability of published omics datasets. Primary datasets were retrieved from archives, processed to extract data points, then subjected to metadata enrichment and gap filling. The resulting secondary [...]
Author(s): Darlington, Yolanda F, Naumov, Alexey, McOwiti, Apollo, Kankanamge, Wasula H, Becnel, Lauren B, McKenna, Neil J
DOI: 10.1093/jamia/ocw096
The Internet and social media are revolutionizing how social support is exchanged and perceived, making online health communities (OHCs) one of the most exciting research areas in health informatics. This paper aims to provide a framework for organizing research of OHCs and help identify questions to explore for future informatics research. Based on the framework, we conceptualize OHCs from a social support standpoint and identify variables of interest in characterizing [...]
Author(s): Zhang, Shaodian, Bantum, Erin O'Carroll, Owen, Jason, Bakken, Suzanne, Elhadad, Noémie
DOI: 10.1093/jamia/ocw093
To examine changes in patient outcome variables, length of stay (LOS), and mortality after implementation of computerized provider order entry (CPOE).
Author(s): Lyons, Ann M, Sward, Katherine A, Deshmukh, Vikrant G, Pett, Marjorie A, Donaldson, Gary W, Turnbull, Jim
DOI: 10.1093/jamia/ocw091
Practice guidelines recommend anticoagulation therapy for patients with atrial fibrillation (AF) who have other risk factors putting them at an elevated risk of stroke. These patients remain undertreated, but, with increasing use of electronic healthcare records (EHRs), it may be possible to identify candidates for treatment.
Author(s): Wang, Shirley V, Rogers, James R, Jin, Yinzhu, Bates, David W, Fischer, Michael A
DOI: 10.1093/jamia/ocw082
Our objective was to compare the change in research informed knowledge of health professionals and their intended practice following exposure to research information delivered by either Twitter or Facebook.
Author(s): Tunnecliff, Jacqueline, Weiner, John, Gaida, James E, Keating, Jennifer L, Morgan, Prue, Ilic, Dragan, Clearihan, Lyn, Davies, David, Sadasivan, Sivalal, Mohanty, Patitapaban, Ganesh, Shankar, Reynolds, John, Maloney, Stephen
DOI: 10.1093/jamia/ocw085
To report on the state of the science of clinical decision support (CDS) for hospital bedside nurses.
Author(s): Dunn Lopez, Karen, Gephart, Sheila M, Raszewski, Rebecca, Sousa, Vanessa, Shehorn, Lauren E, Abraham, Joanna
DOI: 10.1093/jamia/ocw084
Quantifying alert override has been the focus of much research in health informatics, with override rate traditionally viewed as a surrogate inverse indicator for alert effectiveness. However, relying on alert override to assess computerized alerts assumes that alerts are being read and determined to be irrelevant by users. Our research suggests that this is unlikely to be the case when users are experiencing alert overload. We propose that over time [...]
Author(s): Baysari, Melissa T, Tariq, Amina, Day, Richard O, Westbrook, Johanna I
DOI: 10.1093/jamia/ocw072