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
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
Clinical research is the foundation for advancing the practice of medicine. However, the lack of seamless integration between clinical research and patient care workflow impedes recruitment efficiency, escalates research costs, and hence threatens the entire clinical research enterprise. Increased use of electronic health records (EHRs) holds promise for facilitating this integration but must surmount regulatory obstacles. Among the unintended consequences of current research oversight are barriers to accessing patient information [...]
Author(s): Weng, Chunhua, Appelbaum, Paul, Hripcsak, George, Kronish, Ian, Busacca, Linda, Davidson, Karina W, Bigger, J Thomas
DOI: 10.1136/amiajnl-2012-000878
The objective of this case report is to evaluate the use of a clinical data warehouse coupled with a clinical information system to test and refine alerts for medication orders control before they were fully implemented. A clinical decision rule refinement process was used to assess alerts. The criteria assessed were the frequencies of alerts for initial prescriptions of 10 medications whose dosage levels depend on renal function thresholds. In [...]
Author(s): Boussadi, Abdelali, Caruba, Thibaut, Zapletal, Eric, Sabatier, Brigitte, Durieux, Pierre, Degoulet, Patrice
DOI: 10.1136/amiajnl-2012-000850
There is increasing interest in using electronic health records (EHRs) to identify subjects for genomic association studies, due in part to the availability of large amounts of clinical data and the expected cost efficiencies of subject identification. We describe the construction and validation of an EHR-based algorithm to identify subjects with age-related cataracts.
Author(s): Peissig, Peggy L, Rasmussen, Luke V, Berg, Richard L, Linneman, James G, McCarty, Catherine A, Waudby, Carol, Chen, Lin, Denny, Joshua C, Wilke, Russell A, Pathak, Jyotishman, Carrell, David, Kho, Abel N, Starren, Justin B
DOI: 10.1136/amiajnl-2011-000456
Little is known about physicians' perception of the ease or difficulty of implementing electronic health records (EHR). This study identified factors related to the perceived difficulty of implementing EHR. 163 physicians completed surveys before and after the implementation of EHR in an externally funded pilot program in three Massachusetts communities. Ordinal hierarchical logistic regression was used to identify baseline factors that correlated with physicians' report of difficulty with EHR implementation [...]
Author(s): Fleurant, Marshall, Kell, Rachel, Jenter, Chelsea, Volk, Lynn A, Zhang, Fang, Bates, David W, Simon, Steven R
DOI: 10.1136/amiajnl-2011-000689
Accurate clinical problem lists are critical for patient care, clinical decision support, population reporting, quality improvement, and research. However, problem lists are often incomplete or out of date.
Author(s): Wright, Adam, Pang, Justine, Feblowitz, Joshua C, Maloney, Francine L, Wilcox, Allison R, McLoughlin, Karen Sax, Ramelson, Harley, Schneider, Louise, Bates, David W
DOI: 10.1136/amiajnl-2011-000521
Electronic health record (EHR) adoption is a national priority in the USA, and well-designed EHRs have the potential to improve quality and safety. However, physicians are reluctant to implement EHRs due to financial constraints, usability concerns, and apprehension about unintended consequences, including the introduction of medical errors related to EHR use. The goal of this study was to characterize and describe physicians' attitudes towards three consequences of EHR implementation: (1) [...]
Author(s): Love, Jennifer S, Wright, Adam, Simon, Steven R, Jenter, Chelsea A, Soran, Christine S, Volk, Lynn A, Bates, David W, Poon, Eric G
DOI: 10.1136/amiajnl-2011-000544
The Arden Syntax is an HL7 standard language for representing medical knowledge as logic statements. Despite nearly 2 decades of availability, Arden Syntax has not been widely used. This has been attributed to the lack of a generally available compiler to implement the logic, to Arden's complex syntax, to the challenges of mapping local data to data references in the Medical Logic Modules (MLMs), or, more globally, to the general [...]
Author(s): Jung, Chai Young, Sward, Katherine A, Haug, Peter J
DOI: 10.1136/amiajnl-2011-000512
Adverse drug events (ADEs), defined as adverse patient outcomes caused by medications, are common and difficult to detect. Electronic detection of ADEs is a promising method to identify ADEs. We performed this systematic review to characterize established electronic detection systems and their accuracy.
Author(s): Forster, Alan J, Jennings, Alison, Chow, Claire, Leeder, Ciera, van Walraven, Carl
DOI: 10.1136/amiajnl-2011-000454