Biomedical informatics: how we got here and where we are headed.
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2011-000363
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2011-000363
We have reported that implementation of an electronic health record (EHR) based quality improvement system that included point-of-care electronic reminders accelerated improvement in performance for multiple measures of chronic disease care and preventive care during a 1-year period. This study examined whether providing pre-visit paper quality reminders could further improve performance, especially for physicians whose performance had not improved much during the first year.
Author(s): Baker, David W, Persell, Stephen D, Kho, Abel N, Thompson, Jason A, Kaiser, Darren
DOI: 10.1136/amiajnl-2011-000169
To understand how the source of information affects different adverse event (AE) surveillance methods.
Author(s): Tinoco, Aldo, Evans, R Scott, Staes, Catherine J, Lloyd, James F, Rothschild, Jeffrey M, Haug, Peter J
DOI: 10.1136/amiajnl-2011-000187
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
Evidence suggests that when carefully implemented, health information technologies (HIT) have a positive impact on behavior, as well as operational, process, and clinical outcomes. Recent economic stimulus initiatives have prompted unprecedented federal investment in HIT. Despite strong interest from the healthcare delivery community to achieve 'meaningful use' of HIT within a relatively short time frame, few best-practice implementation methodologies have been described. Herein we outline HIT implementation strategies at an [...]
Author(s): Banas, Colin A, Erskine, Alistair R, Sun, Shumei, Retchin, Sheldon M
DOI: 10.1136/amiajnl-2011-000165
Healthcare providers (HCPs) use online medical information for self-directed learning and patient care. Recently, the mobile internet has emerged as a new platform for accessing medical information as it allows mobile devices to access online information in a manner compatible with their restricted storage. We investigated mobile internet usage parameters to direct the future development of mobile internet teaching websites. Nephrology On-Demand Mobile (NOD(M)) (http://www.nephrologyondemand.org) was made accessible to all [...]
Author(s): Desai, Tejas, Christiano, Cynthia, Ferris, Maria
DOI: 10.1136/amiajnl-2011-000259
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
We assessed the usability of a health information exchange (HIE) in a densely populated metropolitan region. This grant-funded HIE had been deployed rapidly to address the imminent needs of the patient population and the need to draw wider participation from regional entities.
Author(s): Gadd, Cynthia S, Ho, Yun-Xian, Cala, Cather Marie, Blakemore, Dana, Chen, Qingxia, Frisse, Mark E, Johnson, Kevin B
DOI: 10.1136/amiajnl-2011-000281
Accurate knowledge of a patient's medical problems is critical for clinical decision making, quality measurement, research, billing and clinical decision support. Common structured sources of problem information include the patient problem list and billing data; however, these sources are often inaccurate or incomplete.
Author(s): Wright, Adam, Pang, Justine, Feblowitz, Joshua C, Maloney, Francine L, Wilcox, Allison R, Ramelson, Harley Z, Schneider, Louise I, Bates, David W
DOI: 10.1136/amiajnl-2011-000121
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