AMIA president's column: AMIA and HIT policy activities.
Author(s): Shortliffe, Edward H
DOI: 10.1136/amiajnl-2011-000353
Author(s): Shortliffe, Edward H
DOI: 10.1136/amiajnl-2011-000353
To determine whether statistical and machine-learning methods, when applied to electronic health record (EHR) access data, could help identify suspicious (ie, potentially inappropriate) access to EHRs.
Author(s): Boxwala, Aziz A, Kim, Jihoon, Grillo, Janice M, Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2011-000217
The Child Health Improvement through Computer Automation (CHICA) system is a decision-support and electronic-medical-record system for pediatric health maintenance and disease management. The purpose of this study was to explore CHICA's ability to screen patients for disorders that have validated screening criteria--specifically tuberculosis (TB) and iron-deficiency anemia.
Author(s): Carroll, Aaron E, Biondich, Paul G, Anand, Vibha, Dugan, Tamara M, Sheley, Meena E, Xu, Shawn Z, Downs, Stephen M
DOI: 10.1136/amiajnl-2011-000088
DNA biobanks linked to comprehensive electronic health records systems are potentially powerful resources for pharmacogenetic studies. This study sought to develop natural-language-processing algorithms to extract drug-dose information from clinical text, and to assess the capabilities of such tools to automate the data-extraction process for pharmacogenetic studies.
Author(s): Xu, Hua, Jiang, Min, Oetjens, Matt, Bowton, Erica A, Ramirez, Andrea H, Jeff, Janina M, Basford, Melissa A, Pulley, Jill M, Cowan, James D, Wang, Xiaoming, Ritchie, Marylyn D, Masys, Daniel R, Roden, Dan M, Crawford, Dana C, Denny, Joshua C
DOI: 10.1136/amiajnl-2011-000208
Author(s): Butte, Atul J, Shah, Nigam H
DOI: 10.1136/amiajnl-2011-000343
The electronic medical record (EMR)/electronic health record (EHR) is becoming an integral component of many primary-care outpatient practices. Before implementing an EMR/EHR system, primary-care practices should have an understanding of the potential benefits and limitations.
Author(s): Holroyd-Leduc, Jayna M, Lorenzetti, Diane, Straus, Sharon E, Sykes, Lindsay, Quan, Hude
DOI: 10.1136/amiajnl-2010-000019
Open-source clinical natural-language-processing (NLP) systems have lowered the barrier to the development of effective clinical document classification systems. Clinical natural-language-processing systems annotate the syntax and semantics of clinical text; however, feature extraction and representation for document classification pose technical challenges.
Author(s): Garla, Vijay, Lo Re, Vincent, Dorey-Stein, Zachariah, Kidwai, Farah, Scotch, Matthew, Womack, Julie, Justice, Amy, Brandt, Cynthia
DOI: 10.1136/amiajnl-2011-000093
To evaluate the ability of the structure and code sets specified in the National Council for Prescription Drug Programs Structured and Codified Sig Format to represent ambulatory electronic prescriptions.
Author(s): Liu, Hangsheng, Burkhart, Q, Bell, Douglas S
DOI: 10.1136/amiajnl-2010-000034
The authors evaluated algorithms commonly used in syndromic surveillance for use as screening tools to detect potentially clonal outbreaks for review by infection control practitioners.
Author(s): Carnevale, Randy J, Talbot, Thomas R, Schaffner, William, Bloch, Karen C, Daniels, Titus L, Miller, Randolph A
DOI: 10.1136/amiajnl-2011-000216
Systematic study of clinical phenotypes is important for a better understanding of the genetic basis of human diseases and more effective gene-based disease management. A key aspect in facilitating such studies requires standardized representation of the phenotype data using common data elements (CDEs) and controlled biomedical vocabularies. In this study, the authors analyzed how a limited subset of phenotypic data is amenable to common definition and standardized collection, as well [...]
Author(s): Pathak, Jyotishman, Wang, Janey, Kashyap, Sudha, Basford, Melissa, Li, Rongling, Masys, Daniel R, Chute, Christopher G
DOI: 10.1136/amiajnl-2010-000061