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
Errors in community medication histories increase the risk of adverse events. The objectives of this study were to estimate the extent to which access to community-based pharmacy records provided more information about prescription drug use than conventional medication histories.
Author(s): Tamblyn, Robyn, Poissant, Lise, Huang, Allen, Winslade, Nancy, Rochefort, Christian M, Moraga, Teresa, Doran, Pamela
DOI: 10.1136/amiajnl-2013-001704
This study aimed to reduce reliance on large training datasets in support vector machine (SVM)-based clinical text analysis by categorizing keyword features. An enhanced Mayo smoking status detection pipeline was deployed. We used a corpus of 709 annotated patient narratives. The pipeline was optimized for local data entry practice and lexicon. SVM classifier retraining used a grouped keyword approach for better efficiency. Accuracy, precision, and F-measure of the unaltered and [...]
Author(s): Khor, Richard, Yip, Wai-Kuan, Bressel, Mathias, Rose, William, Duchesne, Gillian, Foroudi, Farshad
DOI: 10.1136/amiajnl-2013-002090
High-performance computing centers (HPC) traditionally have far less restrictive privacy management policies than those encountered in healthcare. We show how an HPC can be re-engineered to accommodate clinical data while retaining its utility in computationally intensive tasks such as data mining, machine learning, and statistics. We also discuss deploying protected virtual machines. A critical planning step was to engage the university's information security operations and the information security and privacy [...]
Author(s): Bradford, Wayne, Hurdle, John F, LaSalle, Bernie, Facelli, Julio C
DOI: 10.1136/amiajnl-2013-001769
The aim of this study was to assess the accuracy of clinician-entered data in imaging clinical decision support (CDS). We used CDS-guided CT angiography (CTA) for pulmonary embolus (PE) in the emergency department as a case example because it required clinician entry of d-dimer results which could be unambiguously compared with actual laboratory values. Of 1296 patients with CTA orders for suspected PE during 2011, 1175 (90.7%) had accurate d-dimer [...]
Author(s): Gupta, Anurag, Raja, Ali S, Khorasani, Ramin
DOI: 10.1136/amiajnl-2013-001617
The Office of the National Coordinator will be defining the architecture of the Nationwide Health Information Network (NWHIN) together with the proposed HealtheWay public/private partnership as a development and funding strategy. There are a number of open questions--for example, what is the best way to realize the benefits of health information exchange? How valuable are regional health information organizations in comparison with a more direct approach? What is the role [...]
Author(s): Gaynor, Mark, Lenert, Leslie, Wilson, Kristin D, Bradner, Scott
DOI: 10.1136/amiajnl-2013-001719
As part of the Heath Information Technology for Economic and Clinical Health (HITECH) Act, the Office of the National Coordinator for Health Information Technology (ONC) implemented its Workforce Development Program, which included initiatives to train health information technology (HIT) professionals in 12 workforce roles, half of them in community colleges. To achieve this, the ONC tasked five universities with established informatics programs with creating curricular materials that could be used [...]
Author(s): Mohan, Vishnu, Abbott, Patricia, Acteson, Shelby, Berner, Eta S, Devlin, Corkey, Hammond, William E, Kukafka, Rita, Hersh, William
DOI: 10.1136/amiajnl-2013-001683
To model inconsistencies or distortions among three realities: patients' physical reality; clinicians' mental models of patients' conditions, laboratories, etc; representation of that reality in electronic health records (EHR). To serve as a potential tool for quality improvement of EHRs.
Author(s): Smith, Sean W, Koppel, Ross
DOI: 10.1136/amiajnl-2012-001419
Individual users' attitudes and opinions help predict successful adoption of health information technology (HIT) into practice; however, little is known about pediatric users' acceptance of HIT for medical decision-making at the point of care.
Author(s): Bauer, Nerissa S, Carroll, Aaron E, Downs, Stephen M
DOI: 10.1136/amiajnl-2013-001851