EHRs and clinical documentation to optimize patient care.
Author(s): Daniel, Jodi G, Reider, Jacob M, Posnack, Steven L
DOI: 10.1136/amiajnl-2013-001669
Author(s): Daniel, Jodi G, Reider, Jacob M, Posnack, Steven L
DOI: 10.1136/amiajnl-2013-001669
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2013-001966
The Leapfrog CPOE evaluation tool has been promoted as a means of monitoring computerized physician order entry (CPOE). We sought to determine the relationship between Leapfrog scores and the rates of preventable adverse drug events (ADE) and potential ADE.
Author(s): Leung, Alexander A, Keohane, Carol, Lipsitz, Stuart, Zimlichman, Eyal, Amato, Mary, Simon, Steven R, Coffey, Michael, Kaufman, Nathan, Cadet, Bismarck, Schiff, Gordon, Seger, Diane L, Bates, David W
DOI: 10.1136/amiajnl-2012-001549
As healthcare systems continue to expand and interconnect with each other through patient sharing, administrators, policy makers, infection control specialists, and other decision makers may have to take account of the entire healthcare 'ecosystem' in infection control.
Author(s): Lee, Bruce Y, Wong, Kim F, Bartsch, Sarah M, Yilmaz, S Levent, Avery, Taliser R, Brown, Shawn T, Song, Yeohan, Singh, Ashima, Kim, Diane S, Huang, Susan S
DOI: 10.1136/amiajnl-2012-001107
In 2010, the US Drug Enforcement Administration issued regulations allowing electronic prescribing of controlled substances (EPCS), a practice previously prohibited.
Author(s): Thomas, Cindy Parks, Kim, Meelee, Kelleher, Stephen J, Nikitin, Ruslan V, Kreiner, Peter W, McDonald, Ann, Carrow, Grant M
DOI: 10.1136/amiajnl-2012-001499
In 2005, the authors published a paper, 'Will the wave finally break? A brief view of the adoption of electronic medical records in the United States', which predicted that rapid adoption of electronic health records (EHR) would occur in the next 5 years given appropriate incentives. The wave has finally broken with the stimulus of the health information technology for economic and clinical health legislation in 2009, and there have [...]
Author(s): Simborg, Donald W, Detmer, Don Eugene, Berner, Eta S
DOI: 10.1136/amiajnl-2012-001508
To assess differences in the use of electronic medical records (EMRs) among medical specialties and practice settings.
Author(s): Kokkonen, Erik W J, Davis, Scott A, Lin, Hsien-Chang, Dabade, Tushar S, Feldman, Steven R, Fleischer, Alan B
DOI: 10.1136/amiajnl-2012-001609
Genetic studies require precise phenotype definitions, but electronic medical record (EMR) phenotype data are recorded inconsistently and in a variety of formats.
Author(s): Newton, Katherine M, Peissig, Peggy L, Kho, Abel Ngo, Bielinski, Suzette J, Berg, Richard L, Choudhary, Vidhu, Basford, Melissa, Chute, Christopher G, Kullo, Iftikhar J, Li, Rongling, Pacheco, Jennifer A, Rasmussen, Luke V, Spangler, Leslie, Denny, Joshua C
DOI: 10.1136/amiajnl-2012-000896
We sought to determine the extent to which adoption of health information technology (HIT) by physician practices may differ from the extent of use by individual physicians, and to examine factors associated with adoption and use.
Author(s): McClellan, Sean R, Casalino, Lawrence P, Shortell, Stephen M, Rittenhouse, Diane R
DOI: 10.1136/amiajnl-2012-001271
Author(s): Simborg, Donald W
DOI: 10.1136/amiajnl-2012-001369