Networking the country to promote health and scientific discovery.
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2014-003005
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2014-003005
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
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 Mid-South Clinical Data Research Network (CDRN) encompasses three large health systems: (1) Vanderbilt Health System (VU) with electronic medical records for over 2 million patients, (2) the Vanderbilt Healthcare Affiliated Network (VHAN) which currently includes over 40 hospitals, hundreds of ambulatory practices, and over 3 million patients in the Mid-South, and (3) Greenway Medical Technologies, with access to 24 million patients nationally. Initial goals of the Mid-South CDRN include [...]
Author(s): Rosenbloom, S Trent, Harris, Paul, Pulley, Jill, Basford, Melissa, Grant, Jason, DuBuisson, Allison, Rothman, Russell L
DOI: 10.1136/amiajnl-2014-002745
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
We describe the architecture of the Patient Centered Outcomes Research Institute (PCORI) funded Scalable Collaborative Infrastructure for a Learning Healthcare System (SCILHS, http://www.SCILHS.org) clinical data research network, which leverages the $48 billion dollar federal investment in health information technology (IT) to enable a queryable semantic data model across 10 health systems covering more than 8 million patients, plugging universally into the point of care, generating evidence and discovery, and thereby [...]
Author(s): Mandl, Kenneth D, Kohane, Isaac S, McFadden, Douglas, Weber, Griffin M, Natter, Marc, Mandel, Joshua, Schneeweiss, Sebastian, Weiler, Sarah, Klann, Jeffrey G, Bickel, Jonathan, Adams, William G, Ge, Yaorong, Zhou, Xiaobo, Perkins, James, Marsolo, Keith, Bernstam, Elmer, Showalter, John, Quarshie, Alexander, Ofili, Elizabeth, Hripcsak, George, Murphy, Shawn N
DOI: 10.1136/amiajnl-2014-002727
Jagriti Innovations developed a collaboration tool in partnership with the Cure2Children Foundation that has been used by health professionals in Italy, Pakistan, and India for the collaborative management of patients undergoing bone marrow transplantation (BMT) for thalassemia major since August 2008. This online open-access database covers data recording, analyzing, and reporting besides enabling knowledge exchange, telemedicine, capacity building, and quality assurance. As of February 2014, over 2400 patients have been [...]
Author(s): Agarwal, Rajat Kumar, Sedai, Amit, Dhimal, Sunil, Ankita, Kumari, Clemente, Luigi, Siddique, Sulman, Yaqub, Naila, Khalid, Sadaf, Itrat, Fatima, Khan, Anwar, Gilani, Sarah Khan, Marwah, Priya, Soni, Rajpreet, Missiry, Mohamed El, Hussain, Mohamed Hamed, Uderzo, Cornelio, Faulkner, Lawrence
DOI: 10.1136/amiajnl-2013-002594
To review the published, peer-reviewed literature on clinical research data warehouse governance in distributed research networks (DRNs).
Author(s): Holmes, John H, Elliott, Thomas E, Brown, Jeffrey S, Raebel, Marsha A, Davidson, Arthur, Nelson, Andrew F, Chung, Annie, La Chance, Pierre, Steiner, John F
DOI: 10.1136/amiajnl-2013-002370
On July 1, 2012 Australia launched a personally controlled electronic health record (PCEHR) designed around the needs of consumers. Using a distributed model and leveraging key component national eHealth infrastructure, the PCEHR is designed to enable sharing of any health information about a patient with them and any other health practitioner involved in their care to whom the patient allows access. This paper discusses the consumer-facing part of the program.
Author(s): Pearce, Christopher, Bainbridge, Michael
DOI: 10.1136/amiajnl-2013-002068
Natural language processing (NLP) applications typically use regular expressions that have been developed manually by human experts. Our goal is to automate both the creation and utilization of regular expressions in text classification.
Author(s): Bui, Duy Duc An, Zeng-Treitler, Qing
DOI: 10.1136/amiajnl-2013-002411