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
The rapid change in healthcare has focused attention on the necessary development of a next-generation electronic health record (EHR) to support system transformation and more effective patient-centered care. The Department of Veterans Affairs (VA) is developing plans for the next-generation EHR to support improved care delivery for veterans. To understand the needs for a next-generation EHR, we interviewed 14 VA operational, clinical and informatics leaders for their vision about system [...]
Author(s): Saleem, Jason J, Flanagan, Mindy E, Wilck, Nancy R, Demetriades, Jim, Doebbeling, Bradley N
DOI: 10.1136/amiajnl-2013-001748
The implementation of health information technology interventions is at the forefront of most policy agendas internationally. However, such undertakings are often far from straightforward as they require complex strategic planning accompanying the systemic organizational changes associated with such programs. Building on our experiences of designing and evaluating the implementation of large-scale health information technology interventions in the USA and the UK, we highlight key lessons learned in the hope of [...]
Author(s): Cresswell, Kathrin M, Bates, David W, Sheikh, Aziz
DOI: 10.1136/amiajnl-2013-001684
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
To evaluate the impact of the electronic decision support (eDS) tool 'PReOPerative evaluation' (PROP) on guideline adherence in preoperative assessment in statutory health care in Salzburg, Austria.
Author(s): Flamm, Maria, Fritsch, Gerhard, Hysek, Martin, Klausner, Sabine, Entacher, Karl, Panisch, Sigrid, Soennichsen, Andreas C
DOI: 10.1136/amiajnl-2012-001178
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
To be eligible for incentives through the Electronic Health Record (EHR) Incentive Program, many providers using older or locally developed EHRs will be transitioning to new, commercial EHRs. We previously evaluated prescribing errors made by providers in the first year following transition from a locally developed EHR with minimal prescribing clinical decision support (CDS) to a commercial EHR with robust CDS. Following system refinements, we conducted this study to assess [...]
Author(s): Abramson, Erika L, Malhotra, Sameer, Osorio, S Nena, Edwards, Alison, Cheriff, Adam, Cole, Curtis, Kaushal, Rainu
DOI: 10.1136/amiajnl-2012-001328