Developing the health informatics workforce of the future: academic and industry partners.
Author(s): Fridsma, Douglas B
DOI: 10.1093/jamia/ocx027
Author(s): Fridsma, Douglas B
DOI: 10.1093/jamia/ocx027
This review evaluates costs and benefits associated with acquiring, implementing, and operating clinical decision support systems (CDSSs) to prevent cardiovascular disease (CVD).
Author(s): Jacob, Verughese, Thota, Anilkrishna B, Chattopadhyay, Sajal K, Njie, Gibril J, Proia, Krista K, Hopkins, David P, Ross, Murray N, Pronk, Nicolaas P, Clymer, John M
DOI: 10.1093/jamia/ocw160
Epidemiological surveillance of malaria in France is based on a hospital laboratory sentinel surveillance network. There is no comprehensive population surveillance. The objective of this study was to assess the ability of the French National Health Insurance Information System to support nationwide malaria surveillance in continental France.
Author(s): Delon, François, Mayet, Aurélie, Thellier, Marc, Kendjo, Eric, Michel, Rémy, Ollivier, Lénaïck, Chatellier, Gilles, Desjeux, Guillaume
DOI: 10.1093/jamia/ocw164
: This paper provides a substantive review of international literature evaluating the impact of computerized clinical decision support systems (CCDSSs) on the care of emergency department (ED) patients.
Author(s): Bennett, Paula, Hardiker, Nicholas R
DOI: 10.1093/jamia/ocw151
Using electronic health records (EHRs) and biomolecular data, we sought to discover drug pairs with synergistic repurposing potential. EHRs provide real-world treatment and outcome patterns, while complementary biomolecular data, including disease-specific gene expression and drug-protein interactions, provide mechanistic understanding.
Author(s): Low, Yen S, Daugherty, Aaron C, Schroeder, Elizabeth A, Chen, William, Seto, Tina, Weber, Susan, Lim, Michael, Hastie, Trevor, Mathur, Maya, Desai, Manisha, Farrington, Carl, Radin, Andrew A, Sirota, Marina, Kenkare, Pragati, Thompson, Caroline A, Yu, Peter P, Gomez, Scarlett L, Sledge, George W, Kurian, Allison W, Shah, Nigam H
DOI: 10.1093/jamia/ocw161
This systematic review aimed to: (1) determine the prevalence and scope of existing research on human resource information systems (HRIS) in health organizations; (2) analyze, classify, and synthesize evidence on the processes and impacts of HRIS development, implementation, and adoption; and (3) generate recommendations for HRIS research, practice, and policy, with reference to the needs of different stakeholders.
Author(s): Tursunbayeva, Aizhan, Bunduchi, Raluca, Franco, Massimo, Pagliari, Claudia
DOI: 10.1093/jamia/ocw141
Build probabilistic topic model representations of hospital admissions processes and compare the ability of such models to predict clinical order patterns as compared to preconstructed order sets.
Author(s): Chen, Jonathan H, Goldstein, Mary K, Asch, Steven M, Mackey, Lester, Altman, Russ B
DOI: 10.1093/jamia/ocw136
Given the public health importance of communicating about mental illness and the growing use of social media to convey information, our goal was to develop an empirical model to identify periods of heightened interest in mental health topics on Twitter.
Author(s): McClellan, Chandler, Ali, Mir M, Mutter, Ryan, Kroutil, Larry, Landwehr, Justin
DOI: 10.1093/jamia/ocw133
Author(s): Ohno-Machado, Lucila
DOI: 10.1093/jamia/ocx036
Most electronic health record systems provide laboratory test results to patients in table format. We tested whether presenting such results in visual displays (number lines) could improve understanding.
Author(s): Zikmund-Fisher, Brian J, Scherer, Aaron M, Witteman, Holly O, Solomon, Jacob B, Exe, Nicole L, Tarini, Beth A, Fagerlin, Angela
DOI: 10.1093/jamia/ocw169