Putting the 'i' in iHealth.
Author(s): Middleton, Blackford, Fickenscher, Kevin M
DOI: 10.1136/amiajnl-2013-002537
Author(s): Middleton, Blackford, Fickenscher, Kevin M
DOI: 10.1136/amiajnl-2013-002537
Adverse drug reaction (ADR) can have dire consequences. However, our current understanding of the causes of drug-induced toxicity is still limited. Hence it is of paramount importance to determine molecular factors of adverse drug responses so that safer therapies can be designed.
Author(s): Liu, Mei, Cai, Ruichu, Hu, Yong, Matheny, Michael E, Sun, Jingchun, Hu, Jun, Xu, Hua
DOI: 10.1136/amiajnl-2013-002051
Tuberculosis (TB) surveillance in China is organized through a nationwide network of about 3200 hospitals and health facilities. In 2005, an electronic Tuberculosis Information Management System (TBIMS) started to be phased in to replace paper recording. The TBIMS collects key information on TB cases notified in TB care facilities, and exchanges real-time data with the Infectious Disease Reporting System, which covers the country's 37 notifiable diseases. The system is accessible [...]
Author(s): Huang, Fei, Cheng, ShiMing, Du, Xin, Chen, Wei, Scano, Fabio, Falzon, Dennis, Wang, Lixia
DOI: 10.1136/amiajnl-2013-002001
Pharmacogenetics (PG) examines gene variations for drug disposition, response, or toxicity. At the National Institutes of Health Clinical Center (NIH CC), a multidepartment Pharmacogenetics Testing Implementation Committee (PGTIC) was established to develop clinical decision support (CDS) algorithms for abacavir, carbamazepine, and allopurinol, medications for which human leukocyte antigen (HLA) variants predict severe hypersensitivity reactions. Providing PG CDS in the electronic health record (EHR) during order entry could prevent adverse drug [...]
Author(s): Goldspiel, Barry R, Flegel, Willy A, DiPatrizio, Gary, Sissung, Tristan, Adams, Sharon D, Penzak, Scott R, Biesecker, Leslie G, Fleisher, Thomas A, Patel, Jharana J, Herion, David, Figg, William D, Lertora, Juan J L, McKeeby, Jon W
DOI: 10.1136/amiajnl-2013-001873
The infrastructure for data collection implemented by the National Consortium on Alcohol and NeuroDevelopment in Adolescence (N-CANDA) for data collection comprises several innovative features: (a) secure, asynchronous transfer and persistent storage of collected data via a revision control system; (b) two-stage import into a longitudinal database; and (c) use of a script-controlled web browser for data retrieval from a third-party, web-based neuropsychological test battery. The asynchronous operation of data transmission [...]
Author(s): Rohlfing, Torsten, Cummins, Kevin, Henthorn, Trevor, Chu, Weiwei, Nichols, B Nolan
DOI: 10.1136/amiajnl-2013-002367
To systematically review existing literature regarding patient engagement technologies used in the inpatient setting.
Author(s): Prey, Jennifer E, Woollen, Janet, Wilcox, Lauren, Sackeim, Alexander D, Hripcsak, George, Bakken, Suzanne, Restaino, Susan, Feiner, Steven, Vawdrey, David K
DOI: 10.1136/amiajnl-2013-002141
The specificity of medication-related alerts must be improved to overcome the pernicious effects of alert fatigue. A systematic comparison of new drug orders to historical orders could improve alert specificity and relevance. Using historical order data from a computerized provider order entry system, we alerted physicians to atypical orders during the prescribing of five medications: calcium, clopidogrel, heparin, magnesium, and potassium. The percentage of atypical orders placed for these five [...]
Author(s): Woods, Allie D, Mulherin, David P, Flynn, Allen J, Stevenson, James G, Zimmerman, Christopher R, Chaffee, Bruce W
DOI: 10.1136/amiajnl-2013-002008
Record linkage to integrate uncoordinated databases is critical in biomedical research using Big Data. Balancing privacy protection against the need for high quality record linkage requires a human-machine hybrid system to safely manage uncertainty in the ever changing streams of chaotic Big Data.
Author(s): Kum, Hye-Chung, Krishnamurthy, Ashok, Machanavajjhala, Ashwin, Reiter, Michael K, Ahalt, Stanley
DOI: 10.1136/amiajnl-2013-002165
Ambiguous definitions of quality measures in natural language impede their automated computability and also the reproducibility, validity, timeliness, traceability, comparability, and interpretability of computed results. Therefore, quality measures should be formalized before their release. We have previously developed and successfully applied a method for clinical indicator formalization (CLIF). The objective of our present study is to test whether CLIF is generalizable--that is, applicable to a large set of heterogeneous measures [...]
Author(s): Dentler, Kathrin, Numans, Mattijs E, ten Teije, Annette, Cornet, Ronald, de Keizer, Nicolette F
DOI: 10.1136/amiajnl-2013-001921
To systematically review mobile applications currently available to patients to support outpatient medication self-management.
Author(s): Bailey, Stacy Cooper, Belter, Lisa T, Pandit, Anjali U, Carpenter, Delesha M, Carlos, Eamon, Wolf, Michael S
DOI: 10.1136/amiajnl-2013-002232