Approaches to evaluating electronic prescribing.
Author(s): Rosenbloom, S Trent
DOI: 10.1197/jamia.M2122
Author(s): Rosenbloom, S Trent
DOI: 10.1197/jamia.M2122
A risk analysis framework was used to examine the implementation barriers that may hamper the successful implementation of interorganizational clinical information systems (ICIS). In terms of study design, an extensive literature review was first performed in order to elaborate a comprehensive model of project risk factors. To test the applicability of the model, we next conducted a longitudinal multiple-case study of two large-scale ICIS demonstration projects carried out in Quebec [...]
Author(s): Sicotte, Claude, Paré, Guy, Moreault, Marie-Pierre, Paccioni, André
DOI: 10.1197/jamia.M2012
Nearly all general practice physicians (GPs) in the United Kingdom (UK) have electronic health record (EHR) systems in their practices compared with perhaps 15% of primary care physicians in the United States (U.S.). Based on interviews of 13 general GPs and review of current literature, the authors argue that the historical experience of widespread electronic health record uptake in the UK provides insight into features that might motivate broad adoption [...]
Author(s): Schade, Charles P, Sullivan, Frank M, de Lusignan, Simon, Madeley, Jean
DOI: 10.1197/jamia.M2041
To identify types of clinical unintended adverse consequences resulting from computerized provider order entry (CPOE) implementation.
Author(s): Campbell, Emily M, Sittig, Dean F, Ash, Joan S, Guappone, Kenneth P, Dykstra, Richard H
DOI: 10.1197/jamia.M2042
Acquiring and representing biomedical knowledge is an increasingly important component of contemporary bioinformatics. A critical step of the process is to identify and retrieve relevant documents among the vast volume of modern biomedical literature efficiently. In the real world, many information retrieval tasks are difficult because of high data dimensionality and the lack of annotated examples to train a retrieval algorithm. Under such a scenario, the performance of information retrieval [...]
Author(s): Lu, Xinghua, Zheng, Bin, Velivelli, Atulya, Zhai, Chengxiang
DOI: 10.1197/jamia.M2051
The authors used an actual-work estimate method to estimate the cost of developing a tailored interactive computer education program to improve compliance with colorectal cancer screening guidelines in a large multi-specialty group medical practice. Resource use was prospectively collected from time logs, administrative records, and a design and computing subcontract. Sensitivity analysis was performed to examine the uncertainty of the overhead cost rate and other parameters. The cost of developing [...]
Author(s): Lairson, David R, Chang, Yu-Chia, Bettencourt, Judith L, Vernon, Sally W, Greisinger, Anthony
DOI: 10.1197/jamia.M2067
Human classification of diagnoses is a labor intensive process that consumes significant resources. Most medical practices use specially trained medical coders to categorize diagnoses for billing and research purposes.
Author(s): Pakhomov, Serguei V S, Buntrock, James D, Chute, Christopher G
DOI: 10.1197/jamia.M2077
Develop and analyze results from an image retrieval test collection.
Author(s): Hersh, William R, Müller, Henning, Jensen, Jeffery R, Yang, Jianji, Gorman, Paul N, Ruch, Patrick
DOI: 10.1197/jamia.M2082
The authors evaluated the retrieval power of PubMed "Clinical Queries," narrow search string, about therapy in comparison with a modified search string to avoid possible retrieval bias. PubMed search strategy was compared to a slightly modified string that included the Britannic English term "randomised." The authors tested the two strings joined onto each of four terms concerning topics of broad interest: hypertension, hepatitis, diabetes, and heart failure. In particular, precision [...]
Author(s): Corrao, Salvatore, Colomba, Daniela, Arnone, Sabrina, Argano, Christiano, Di Chiara, Tiziana, Scaglione, Rosario, Licata, Giuseppe
DOI: 10.1197/jamia.M2084
Natural language processing (NLP) approaches have been explored to manage and mine information recorded in biological literature. A critical step for biological literature mining is biological named entity tagging (BNET) that identifies names mentioned in text and normalizes them with entries in biological databases. The aim of this study was to provide quantitative assessment of the complexity of BNET on protein entities through BioThesaurus, a thesaurus of gene/protein names for [...]
Author(s): Liu, Hongfang, Hu, Zhang-Zhi, Torii, Manabu, Wu, Cathy, Friedman, Carol
DOI: 10.1197/jamia.M2085