In response to: Electronic health records in small physician practices: availability, use, and perceived benefits.
Author(s): Parsons, Amanda, Wu, Winfred
DOI: 10.1136/amiajnl-2011-000427
Author(s): Parsons, Amanda, Wu, Winfred
DOI: 10.1136/amiajnl-2011-000427
To evaluate the benefit of a health information exchange (HIE) between hospitals, we examine the rate of crossover among neurosurgical inpatients treated at Emory University Hospital (EUH) and Grady Memorial Hospital (GMH) in Atlanta, Georgia. To inform decisions regarding investment in HIE, we develop a methodology analyzing crossover behavior for application to larger more general patient populations.
Author(s): Laborde, David V, Griffin, Jacqueline A, Smalley, Hannah K, Keskinocak, Pinar, Mathew, George
DOI: 10.1136/amiajnl-2011-000140
To evaluate existing automatic speech-recognition (ASR) systems to measure their performance in interpreting spoken clinical questions and to adapt one ASR system to improve its performance on this task.
Author(s): Liu, Feifan, Tur, Gokhan, Hakkani-Tür, Dilek, Yu, Hong
DOI: 10.1136/amiajnl-2010-000071
To determine what information can be helpful in prioritizing and presenting medication alerts according to the context of the clinical situation. To assess the usefulness of different ways of delivering medication alerts to the user.
Author(s): Riedmann, Daniel, Jung, Martin, Hackl, Werner O, Ammenwerth, Elske
DOI: 10.1136/amiajnl-2010-000006
Despite at least 40 years of promising empirical performance, very few clinical natural language processing (NLP) or information extraction systems currently contribute to medical science or care. The authors address this gap by reducing the need for custom software and rules development with a graphical user interface-driven, highly generalizable approach to concept-level retrieval.
Author(s): D'Avolio, Leonard W, Nguyen, Thien M, Goryachev, Sergey, Fiore, Louis D
DOI: 10.1136/amiajnl-2011-000183
To assess intensive care unit (ICU) nurses' acceptance of electronic health records (EHR) technology and examine the relationship between EHR design, implementation factors, and nurse acceptance.
Author(s): Carayon, Pascale, Cartmill, Randi, Blosky, Mary Ann, Brown, Roger, Hackenberg, Matthew, Hoonakker, Peter, Hundt, Ann Schoofs, Norfolk, Evan, Wetterneck, Tosha B, Walker, James M
DOI: 10.1136/amiajnl-2010-000018
The 2010 i2b2/VA Workshop on Natural Language Processing Challenges for Clinical Records presented three tasks: a concept extraction task focused on the extraction of medical concepts from patient reports; an assertion classification task focused on assigning assertion types for medical problem concepts; and a relation classification task focused on assigning relation types that hold between medical problems, tests, and treatments. i2b2 and the VA provided an annotated reference standard corpus [...]
Author(s): Uzuner, Özlem, South, Brett R, Shen, Shuying, DuVall, Scott L
DOI: 10.1136/amiajnl-2011-000203
Clinical Queries filters were developed to improve the retrieval of high-quality studies in searches on clinical matters. The study objective was to determine the yield of relevant citations and physician satisfaction while searching for diagnostic and treatment studies using the Clinical Queries page of PubMed compared with searching PubMed without these filters.
Author(s): Lokker, Cynthia, Haynes, R Brian, Wilczynski, Nancy L, McKibbon, K Ann, Walter, Stephen D
DOI: 10.1136/amiajnl-2011-000233
Unpredictable yet frequently occurring exception situations pervade clinical care. Handling them properly often requires aberrant actions temporarily departing from normal practice. In this study, the authors investigated several exception-handling procedures provided in an electronic health records system for facilitating clinical documentation, which the authors refer to as 'data entry exit strategies.' Through a longitudinal analysis of computer-recorded usage data, the authors found that (1) utilization of the exit strategies was [...]
Author(s): Zheng, Kai, Hanauer, David A, Padman, Rema, Johnson, Michael P, Hussain, Anwar A, Ye, Wen, Zhou, Xiaomu, Diamond, Herbert S
DOI: 10.1136/amiajnl-2011-000118
Health-information exchange, that is, enabling the interoperability of automated health data, can facilitate important improvements in healthcare quality and efficiency. A vision of interoperability and its benefits was articulated more than a decade ago. Since then, important advances toward the goal have been made. The advent of the Health Information Technology for Economic and Clinical Health Act and the meaningful use program is already having a significant impact on the [...]
Author(s): Kuperman, Gilad J
DOI: 10.1136/amiajnl-2010-000021