Disseminating informatics knowledge and training the next generation of leaders.
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2014-NovEditorial
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2014-NovEditorial
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2014-003171
Providing patients access to their medical records offers many potential benefits including identification and correction of errors. The process by which patients ask for changes to be made to their records is called an 'amendment request'. Little is known about the nature of such amendment requests and whether they result in modifications to the chart.
Author(s): Hanauer, David A, Preib, Rebecca, Zheng, Kai, Choi, Sung W
DOI: 10.1136/amiajnl-2013-002574
To examine whether there is a common sequence of adoption of electronic health record (EHR) functions among US hospitals, identify differences by hospital type, and assess the impact of meaningful use.
Author(s): Adler-Milstein, Julia, Everson, Jordan, Lee, Shoou-Yih D
DOI: 10.1136/amiajnl-2014-002708
To specify the problem of patient-level temporal aggregation from clinical text and introduce several probabilistic methods for addressing that problem. The patient-level perspective differs from the prevailing natural language processing (NLP) practice of evaluating at the term, event, sentence, document, or visit level.
Author(s): Wu, Stephen T, Juhn, Young J, Sohn, Sunghwan, Liu, Hongfang
DOI: 10.1136/amiajnl-2013-002463
The PaTH (University of Pittsburgh/UPMC, Penn State College of Medicine, Temple University Hospital, and Johns Hopkins University) clinical data research network initiative is a collaborative effort among four academic health centers in the Mid-Atlantic region. PaTH will provide robust infrastructure to conduct research, explore clinical outcomes, link with biospecimens, and improve methods for sharing and analyzing data across our diverse populations. Our disease foci are idiopathic pulmonary fibrosis, atrial fibrillation [...]
Author(s): Amin, Waqas, Tsui, Fuchiang Rich, Borromeo, Charles, Chuang, Cynthia H, Espino, Jeremy U, Ford, Daniel, Hwang, Wenke, Kapoor, Wishwa, Lehmann, Harold, Martich, G Daniel, Morton, Sally, Paranjape, Anuradha, Shirey, William, Sorensen, Aaron, Becich, Michael J, Hess, Rachel, ,
DOI: 10.1136/amiajnl-2014-002759
The Patient-Centered Outcomes Research Institute (PCORI) has launched PCORnet, a major initiative to support an effective, sustainable national research infrastructure that will advance the use of electronic health data in comparative effectiveness research (CER) and other types of research. In December 2013, PCORI's board of governors funded 11 clinical data research networks (CDRNs) and 18 patient-powered research networks (PPRNs) for a period of 18 months. CDRNs are based on the electronic [...]
Author(s): Fleurence, Rachael L, Curtis, Lesley H, Califf, Robert M, Platt, Richard, Selby, Joe V, Brown, Jeffrey S
DOI: 10.1136/amiajnl-2014-002747
The Patient-Centered Outcomes Research Institute (PCORI) recently launched PCORnet to establish a single inter-operable multicenter data research network that will support observational research and randomized clinical trials. This paper provides an overview of the patient-powered research networks (PPRNs), networks of patient organizations focused on a particular health condition that are interested in sharing health information and engaging in research. PPRNs will build on their foundation of trust within the patient [...]
Author(s): , , Daugherty, Sarah E, Wahba, Sarita, Fleurence, Rachael
DOI: 10.1136/amiajnl-2014-002758
The New York City Clinical Data Research Network (NYC-CDRN), funded by the Patient-Centered Outcomes Research Institute (PCORI), brings together 22 organizations including seven independent health systems to enable patient-centered clinical research, support a national network, and facilitate learning healthcare systems. The NYC-CDRN includes a robust, collaborative governance and organizational infrastructure, which takes advantage of its participants' experience, expertise, and history of collaboration. The technical design will employ an information model [...]
Author(s): Kaushal, Rainu, Hripcsak, George, Ascheim, Deborah D, Bloom, Toby, Campion, Thomas R, Caplan, Arthur L, Currie, Brian P, Check, Thomas, Deland, Emme Levin, Gourevitch, Marc N, Hart, Raffaella, Horowitz, Carol R, Kastenbaum, Isaac, Levin, Arthur Aaron, Low, Alexander F H, Meissner, Paul, Mirhaji, Parsa, Pincus, Harold A, Scaglione, Charles, Shelley, Donna, Tobin, Jonathan N, ,
DOI: 10.1136/amiajnl-2014-002764
A learning health system (LHS) integrates research done in routine care settings, structured data capture during every encounter, and quality improvement processes to rapidly implement advances in new knowledge, all with active and meaningful patient participation. While disease-specific pediatric LHSs have shown tremendous impact on improved clinical outcomes, a national digital architecture to rapidly implement LHSs across multiple pediatric conditions does not exist. PEDSnet is a clinical data research network [...]
Author(s): Forrest, Christopher B, Margolis, Peter A, Bailey, L Charles, Marsolo, Keith, Del Beccaro, Mark A, Finkelstein, Jonathan A, Milov, David E, Vieland, Veronica J, Wolf, Bryan A, Yu, Feliciano B, Kahn, Michael G
DOI: 10.1136/amiajnl-2014-002743