Direct comparison between support vector machine and multinomial naive Bayes algorithms for medical abstract classification.
Author(s): Matwin, Stan, Sazonova, Vera
DOI: 10.1136/amiajnl-2012-001072
Author(s): Matwin, Stan, Sazonova, Vera
DOI: 10.1136/amiajnl-2012-001072
To identify predictors of nurses' acceptance of bar coded medication administration (BCMA).
Author(s): Holden, Richard J, Brown, Roger L, Scanlon, Matthew C, Karsh, Ben-Tzion
DOI: 10.1136/amiajnl-2011-000754
Drug-drug interactions (DDIs) are responsible for many serious adverse events; their detection is crucial for patient safety but is very challenging. Currently, the US Food and Drug Administration and pharmaceutical companies are showing great interest in the development of improved tools for identifying DDIs.
Author(s): Vilar, Santiago, Harpaz, Rave, Uriarte, Eugenio, Santana, Lourdes, Rabadan, Raul, Friedman, Carol
DOI: 10.1136/amiajnl-2012-000935
The conduct of clinical and translational research regularly involves the use of a variety of heterogeneous and large-scale data resources. Scalable methods for the integrative analysis of such resources, particularly when attempting to leverage computable domain knowledge in order to generate actionable hypotheses in a high-throughput manner, remain an open area of research. In this report, we describe both a generalizable design pattern for such integrative knowledge-anchored hypothesis discovery operations [...]
Author(s): Payne, Philip R O, Jackson, Rebecca D, Best, Thomas M, Borlawsky, Tara B, Lai, Albert M, James, Stephen, Gurcan, Metin N
DOI: 10.1136/amiajnl-2011-000736
Without careful attention to the work of users, implementation of health IT can produce new risks and inefficiencies in care. This paper uses the technology use mediation framework to examine the work of a group of nurses who serve as mediators of the adoption and use of a barcode medication administration (BCMA) system in an inpatient setting.
Author(s): Novak, Laurie L, Anders, Shilo, Gadd, Cynthia S, Lorenzi, Nancy M
DOI: 10.1136/amiajnl-2011-000575
The demographic and practice-related characteristics of physicians who use social networking websites, portable devices to access the internet, email to communicate with patients, podcasts, widgets, RSS feeds, and blogging were investigated. Logistic regression was used to analyze a survey of US primary care physicians, pediatricians, obstetrician/gynecologists, and dermatologists (N=1750). Reported technology use during the last 6 months ranged from 80.6% using a portable device to access the internet to 12.9% [...]
Author(s): Cooper, Crystale Purvis, Gelb, Cynthia A, Rim, Sun Hee, Hawkins, Nikki A, Rodriguez, Juan L, Polonec, Lindsey
DOI: 10.1136/amiajnl-2011-000628
Telemonitoring interventions featuring transmission of home glucose records to healthcare providers have resulted in improved glycemic control in patients with diabetes. No research has addressed the intensity or duration of telemonitoring required to sustain such improvements.
Author(s): Stone, Roslyn A, Sevick, Mary Ann, Rao, R Harsha, Macpherson, David S, Cheng, Chunrong, Kim, Sunghee, Hough, Linda J, DeRubertis, Frederick R
DOI: 10.1136/amiajnl-2012-000815
Physicians who more intensively interact with electronic health records (EHRs) through their documentation style may pay greater attention to coded fields and clinical decision support and thus may deliver higher quality care. We measured the quality of care of physicians who used three predominating EHR documentation styles: dictation, structured documentation, and free text.
Author(s): Linder, Jeffrey A, Schnipper, Jeffrey L, Middleton, Blackford
DOI: 10.1136/amiajnl-2011-000788
A method for the automatic resolution of coreference between medical concepts in clinical records.
Author(s): Rink, Bryan, Roberts, Kirk, Harabagiu, Sanda M
DOI: 10.1136/amiajnl-2012-000810
Many public health agencies monitor population health using syndromic surveillance, generally employing information from emergency department (ED) visit records. When combined with other information, objective evidence of fever may enhance the accuracy with which surveillance systems detect syndromes of interest, such as influenza-like illness. This study found that patient chief complaint of self-reported fever was more readily available in ED records than measured temperature and that the majority of patients [...]
Author(s): Kass-Hout, Taha A, Buckeridge, David, Brownstein, John, Xu, Zhiheng, McMurray, Paul, Ishikawa, Charles K T, Gunn, Julia, Massoudi, Barbara L
DOI: 10.1136/amiajnl-2012-000847