Advancing healthcare and biomedical research via new data-driven approaches.
Author(s): Ohno-Machado, Lucila
DOI: 10.1093/jamia/ocx036
Author(s): Ohno-Machado, Lucila
DOI: 10.1093/jamia/ocx036
Patient notes in electronic health records (EHRs) may contain critical information for medical investigations. However, the vast majority of medical investigators can only access de-identified notes, in order to protect the confidentiality of patients. In the United States, the Health Insurance Portability and Accountability Act (HIPAA) defines 18 types of protected health information that needs to be removed to de-identify patient notes. Manual de-identification is impractical given the size of [...]
Author(s): Dernoncourt, Franck, Lee, Ji Young, Uzuner, Ozlem, Szolovits, Peter
DOI: 10.1093/jamia/ocw156
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
To develop a novel pharmacovigilance inferential framework to infer mechanistic explanations for asserted drug-drug interactions (DDIs) and deduce potential DDIs.
Author(s): Noor, Adeeb, Assiri, Abdullah, Ayvaz, Serkan, Clark, Connor, Dumontier, Michel
DOI: 10.1093/jamia/ocw128
Reduction of 30-day all-cause readmissions for heart failure (HF) has become an important quality-of-care metric for health care systems. Many hospitals have implemented quality improvement programs designed to reduce 30-day all-cause readmissions for HF. Electronic medical record (EMR)-based measures have been employed to aid in these efforts, but their use has been largely adjunctive to, rather than integrated with, the overall effort.
Author(s): Banerjee, Dipanjan, Thompson, Christine, Kell, Charlene, Shetty, Rajesh, Vetteth, Yohan, Grossman, Helene, DiBiase, Aria, Fowler, Michael
DOI: 10.1093/jamia/ocw150
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
As the Internet becomes the number one destination for obtaining health-related information, there is an increasing need to identify health Web pages that convey an accurate and current view of medical knowledge. In response, the research community has created multicriteria instruments for reliably assessing online medical information quality. One such instrument is DISCERN, which measures health Web page quality by assessing an array of features. In order to scale up [...]
Author(s): Allam, Ahmed, Schulz, Peter J, Krauthammer, Michael
DOI: 10.1093/jamia/ocw140
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
: 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
To identify groups of potential users based on their preferences for characteristics of personal health records (PHRs) and to estimate potential PHR uptake.
Author(s): Determann, Domino, Lambooij, Mattijs S, Gyrd-Hansen, Dorte, de Bekker-Grob, Esther W, Steyerberg, Ewout W, Heldoorn, Marcel, Pedersen, Line Bjørnskov, de Wit, G Ardine
DOI: 10.1093/jamia/ocw158