Evidence-based public policy comes to Washington.
Author(s): Fridsma, Douglas B, Smith, Jeffery
DOI: 10.1093/jamia/ocw120
Author(s): Fridsma, Douglas B, Smith, Jeffery
DOI: 10.1093/jamia/ocw120
Author(s): Ohno-Machado, Lucila, ,
DOI: 10.1093/jamia/ocw129
The metadata reflecting the location of the infected host (LOIH) of virus sequences in GenBank often lacks specificity. This work seeks to enhance this metadata by extracting more specific geographic information from related full-text articles and mapping them to their latitude/longitudes using knowledge derived from external geographical databases.
Author(s): Tahsin, Tasnia, Weissenbacher, Davy, Rivera, Robert, Beard, Rachel, Firago, Mari, Wallstrom, Garrick, Scotch, Matthew, Gonzalez, Graciela
DOI: 10.1093/jamia/ocv172
A software tool is developed to facilitate data entry and to monitor research projects in under-resourced countries in real-time.
Author(s): Steiner, Andreas, Hella, Jerry, Grüninger, Servan, Mhalu, Grace, Mhimbira, Francis, Cercamondi, Colin I, Doulla, Basra, Maire, Nicolas, Fenner, Lukas
DOI: 10.1093/jamia/ocv185
To systematically review studies assessing the effects of health information technology (health IT) on patient safety outcomes.
Author(s): Brenner, Samantha K, Kaushal, Rainu, Grinspan, Zachary, Joyce, Christine, Kim, Inho, Allard, Rhonda J, Delgado, Diana, Abramson, Erika L
DOI: 10.1093/jamia/ocv138
Quantify the variability of patients' problem lists - in terms of the number, type, and ordering of problems - across multiple physicians and assess physicians' criteria for organizing and ranking diagnoses.
Author(s): Krauss, John C, Boonstra, Philip S, Vantsevich, Anna V, Friedman, Charles P
DOI: 10.1093/jamia/ocv211
The objective of this project was to use statistical techniques to determine the completeness and accuracy of data migrated during electronic health record conversion.
Author(s): Pageler, Natalie M, Grazier G'Sell, Max Jacob, Chandler, Warren, Mailes, Emily, Yang, Christine, Longhurst, Christopher A
DOI: 10.1093/jamia/ocv173
In early 2010, Harvard Medical School and Boston Children's Hospital began an interoperability project with the distinctive goal of developing a platform to enable medical applications to be written once and run unmodified across different healthcare IT systems. The project was called Substitutable Medical Applications and Reusable Technologies (SMART).
Author(s): Mandel, Joshua C, Kreda, David A, Mandl, Kenneth D, Kohane, Isaac S, Ramoni, Rachel B
DOI: 10.1093/jamia/ocv189
Develop and evaluate an automated identification and predictive risk report for hospitalized heart failure (HF) patients.
Author(s): Evans, R Scott, Benuzillo, Jose, Horne, Benjamin D, Lloyd, James F, Bradshaw, Alejandra, Budge, Deborah, Rasmusson, Kismet D, Roberts, Colleen, Buckway, Jason, Geer, Norma, Garrett, Teresa, Lappé, Donald L
DOI: 10.1093/jamia/ocv197
In order to facilitate clinical research across multiple institutions, data harmonization is a critical requirement. Common data elements (CDEs) collect data uniformly, allowing data interoperability between research studies. However, structural limitations have hindered the application of CDEs. An advanced modeling structure is needed to rectify such limitations. The openEHR 2-level modeling approach has been widely implemented in the medical informatics domain. The aim of our study is to explore the [...]
Author(s): Lin, Ching-Heng, Fann, Yang-Cheng, Liou, Der-Ming
DOI: 10.1093/jamia/ocv137