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 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
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
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
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
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
In 2008 we developed a shared health research information network (SHRINE), which for the first time enabled research queries across the full patient populations of four Boston hospitals. It uses a federated architecture, where each hospital returns only the aggregate count of the number of patients who match a query. This allows hospitals to retain control over their local databases and comply with federal and state privacy laws. However, because [...]
Author(s): Weber, Griffin M
DOI: 10.1136/amiajnl-2012-001299
To evaluate the complex dynamics involved in implementing electronic health information exchange (HIE) for public health reporting at a state health department, and to identify policy implications to inform similar implementations.
Author(s): Merrill, Jacqueline A, Deegan, Michael, Wilson, Rosalind V, Kaushal, Rainu, Fredericks, Kimberly
DOI: 10.1136/amiajnl-2012-001289
This paper presents a method to improve the navigation and manipulation of radiological images through a sterile hand gesture recognition interface based on attentional contextual cues. Computer vision algorithms were developed to extract intention and attention cues from the surgeon's behavior and combine them with sensory data from a commodity depth camera. The developed interface was tested in a usability experiment to assess the effectiveness of the new interface. An [...]
Author(s): Jacob, Mithun George, Wachs, Juan Pablo, Packer, Rebecca A
DOI: 10.1136/amiajnl-2012-001212
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