President's column: AMIA's policy priorities for 2014.
Author(s): Middleton, Blackford
DOI: 10.1136/amiajnl-2014-002809
Author(s): Middleton, Blackford
DOI: 10.1136/amiajnl-2014-002809
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
Understanding population-level health trends is essential to effectively monitor and improve public health. The Office of the National Coordinator for Health Information Technology (ONC) Query Health initiative is a collaboration to develop a national architecture for distributed, population-level health queries across diverse clinical systems with disparate data models. Here we review Query Health activities, including a standards-based methodology, an open-source reference implementation, and three pilot projects.
Author(s): Klann, Jeffrey G, Buck, Michael D, Brown, Jeffrey, Hadley, Marc, Elmore, Richard, Weber, Griffin M, Murphy, Shawn N
DOI: 10.1136/amiajnl-2014-002707
The constant progress in computational linguistic methods provides amazing opportunities for discovering information in clinical text and enables the clinical scientist to explore novel approaches to care. However, these new approaches need evaluation. We describe an automated system to compare descriptions of epilepsy patients at three different organizations: Cincinnati Children's Hospital, the Children's Hospital Colorado, and the Children's Hospital of Philadelphia. To our knowledge, there have been no similar previous [...]
Author(s): Connolly, Brian, Matykiewicz, Pawel, Bretonnel Cohen, K, Standridge, Shannon M, Glauser, Tracy A, Dlugos, Dennis J, Koh, Susan, Tham, Eric, Pestian, John
DOI: 10.1136/amiajnl-2013-002601
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
We developed the Medication Extraction and Normalization (MedXN) system to extract comprehensive medication information and normalize it to the most appropriate RxNorm concept unique identifier (RxCUI) as specifically as possible.
Author(s): Sohn, Sunghwan, Clark, Cheryl, Halgrim, Scott R, Murphy, Sean P, Chute, Christopher G, Liu, Hongfang
DOI: 10.1136/amiajnl-2013-002190
This study describes the implementation and impact of an electronic test result acknowledgement (RA) system in the Mater Mothers' Hospital in Brisbane, Australia. The Verdi application electronically records clinicians' acknowledgement of the review of results. Hospital data (August 2011-August 2012) were extracted to measure clinicians' acknowledgement practices. There were 27,354 inpatient test results for 6855 patients. All test results were acknowledged. 60% (95% CI 59% to 61%) of laboratory and [...]
Author(s): Georgiou, Andrew, Lymer, Sharyn, Forster, Megan, Strachan, Michael, Graham, Sara, Hirst, Geof, Callen, Joanne, Westbrook, Johanna I
DOI: 10.1136/amiajnl-2013-002466
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
Author(s): Bourne, Philip E
DOI: 10.1136/amiajnl-2014-002651