e-Talking to patients: connecting with the health care consumer.
Author(s): Podichetty, Vinod K, Varley, Eric
DOI: 10.1197/jamia.2099
Author(s): Podichetty, Vinod K, Varley, Eric
DOI: 10.1197/jamia.2099
The authors performed this study to determine the accuracy of several text classification methods to categorize wrist x-ray reports. We randomly sampled 751 textual wrist x-ray reports. Two expert reviewers rated the presence (n = 301) or absence (n = 450) of an acute fracture of wrist. We developed two information retrieval (IR) text classification methods and a machine learning method using a support vector machine (TC-1). In cross-validation on [...]
Author(s): de Bruijn, Berry, Cranney, Ann, O'Donnell, Siobhan, Martin, Joel D, Forster, Alan J
DOI: 10.1197/jamia.M1995
To assess the acceptability and usage of a standalone personal digital assistant (PDA)-based clinical decision-support system (CDSS) for the diagnosis and management of acute respiratory tract infections (RTIs) in the outpatient setting.
Author(s): Rubin, Michael A, Bateman, Kim, Donnelly, Sharon, Stoddard, Gregory J, Stevenson, Kurt, Gardner, Reed M, Samore, Matthew H
DOI: 10.1197/jamia.M2029
To develop and test an auditing methodology for detecting errors in medical terminologies satisfying systematic inheritance. This methodology is based on various abstraction taxonomies that provide high-level views of a terminology and highlight potentially erroneous concepts.
Author(s): Min, Hua, Perl, Yehoshua, Chen, Yan, Halper, Michael, Geller, James, Wang, Yue
DOI: 10.1197/jamia.M2036
This case study examined the utility of regular expressions to identify clinical data relevant to the epidemiology of treatment of hypertension. We designed a software tool that employed regular expressions to identify and extract instances of documented blood pressure values and anti-hypertensive treatment intensification from the text of physician notes. We determined sensitivity, specificity and precision of identification of blood pressure values and anti-hypertensive treatment intensification using a gold standard [...]
Author(s): Turchin, Alexander, Kolatkar, Nikheel S, Grant, Richard W, Makhni, Eric C, Pendergrass, Merri L, Einbinder, Jonathan S
DOI: 10.1197/jamia.M2078
To determine if clinician-selected electronic information resources improve primary care physicians' abilities to answer simulated clinical questions.
Author(s): McKibbon, K Ann, Fridsma, Douglas B
DOI: 10.1197/jamia.M2087
Clinicians are increasingly using handheld computers (HC) during patient care. We sought to assess the role of HC-based clinical reference software in medical practice by conducting a survey and assessing actual usage behavior.
Author(s): Rothschild, Jeffrey M, Fang, Edward, Liu, Vincent, Litvak, Irina, Yoon, Cathy, Bates, David W
DOI: 10.1197/jamia.M2103
Many Norwegian hospitals that are equipped with an electronic medical record (EMR) system now have proceeded to withdraw the paper-based medical record from clinical workflow. In two previous survey-based studies on the effect of removing the paper-based medical record on the work of physicians, nurses and medical secretaries, we concluded that to scan and eliminate the paper based record was feasible, but that the medical secretaries were the group that [...]
Author(s): Lium, Jan-Tore, Laerum, Hallvard, Schulz, Tom, Faxvaag, Arild
DOI: 10.1197/jamia.M2108
This review describes recent experimental and focus group research on graphics as a method of communication about quantitative health risks. Some of the studies discussed in this review assessed effect of graphs on quantitative reasoning, others assessed effects on behavior or behavioral intentions, and still others assessed viewers' likes and dislikes. Graphical features that improve the accuracy of quantitative reasoning appear to differ from the features most likely to alter [...]
Author(s): Ancker, Jessica S, Senathirajah, Yalini, Kukafka, Rita, Starren, Justin B
DOI: 10.1197/jamia.M2115
Authors developed a picture-graphics display for pulmonary function to present typical respiratory data used in perioperative and intensive care environments. The display utilizes color, shape and emergent alerting to highlight abnormal pulmonary physiology. The display serves as an adjunct to traditional operating room displays and monitors.
Author(s): Wachter, S Blake, Johnson, Ken, Albert, Robert, Syroid, Noah, Drews, Frank, Westenskow, Dwayne
DOI: 10.1197/jamia.M2123