The study sought to develop and evaluate an electronic health record-based child abuse clinical decision support system in 2 general emergency departments.
Author(s): Rosenthal, Bruce, Skrbin, Janet, Fromkin, Janet, Heineman, Emily, McGinn, Tom, Richichi, Rudolph, Berger, Rachel P
DOI: 10.1093/jamia/ocz069
This study tested validity, accuracy, and efficiency of the Orthopaedic Minimal Data Set Episode of Care (OME) compared with traditional operative report in arthroscopic surgery for shoulder instability. As of November 2017, OME had successfully captured baseline data on 97% of 18 700 eligible cases.
Author(s): Mohr, Jill, Strnad, Gregory J, Farrow, Lutul, Heinlein, Kate, Hettrich, Carolyn M, Jones, Morgan H, Miniaci, Anthony, Ricchetti, Eric, Rosneck, James, Schickendantz, Mark, Saluan, Paul, Vega, Jose F, Spindler, Kurt P
DOI: 10.1093/jamia/ocz074
Author(s): Zsenits, Balazs, Alcantara, Jose, Mayo, Robert
DOI: 10.1093/jamia/ocz076
Author(s): Bakken, Suzanne
DOI: 10.1093/jamia/ocz078
The study sought to identify barriers to and facilitators of point-of-care information seeking and use of knowledge resources.
Author(s): Aakre, Christopher A, Maggio, Lauren A, Fiol, Guilherme Del, Cook, David A
DOI: 10.1093/jamia/ocz065
Clinical decision support systems (CDSS) implementing clinical practice guidelines (CPGs) have 2 main limitations: they target only patients for whom CPGs provide explicit recommendations, and their rationale may be difficult to understand. These 2 limitations result in poor CDSS adoption. We designed AntibioHelp® as a CDSS for antibiotic treatment. It displays the recommended and nonrecommended antibiotics, together with their properties, weighted by degree of importance as outlined in the CPGs [...]
Author(s): Tsopra, Rosy, Sedki, Karima, Courtine, Mélanie, Falcoff, Hector, De Beco, Antoine, Madar, Ronni, Mechaï, Frédéric, Lamy, Jean-Baptiste
DOI: 10.1093/jamia/ocz057
This study aimed to develop a novel, regulatory-compliant approach for openly exposing integrated clinical and environmental exposures data: the Integrated Clinical and Environmental Exposures Service (ICEES).
Author(s): Fecho, Karamarie, Pfaff, Emily, Xu, Hao, Champion, James, Cox, Steve, Stillwell, Lisa, Peden, David B, Bizon, Chris, Krishnamurthy, Ashok, Tropsha, Alexander, Ahalt, Stanley C
DOI: 10.1093/jamia/ocz042
We assess working relationships and collaborations within and between diabetes health care provider teams using social network analysis and a multi-scale community detection.
Author(s): Ostovari, Mina, Steele-Morris, Charlotte-Joy, Griffin, Paul M, Yu, Denny
DOI: 10.1093/jamia/ocz022
Identifying drug discontinuation (DDC) events and understanding their reasons are important for medication management and drug safety surveillance. Structured data resources are often incomplete and lack reason information. In this article, we assessed the ability of natural language processing (NLP) systems to unlock DDC information from clinical narratives automatically.
Author(s): Liu, Feifan, Pradhan, Richeek, Druhl, Emily, Freund, Elaine, Liu, Weisong, Sauer, Brian C, Cunningham, Fran, Gordon, Adam J, Peters, Celena B, Yu, Hong
DOI: 10.1093/jamia/ocz048
The objective of this study was to assess the potential of combining graph learning methods with latent variable estimation methods for mining clinically useful information from observational clinical data sets.
Author(s): Kummerfeld, Erich, Rix, Alexander, Anker, Justin J, Kushner, Matt G
DOI: 10.1093/jamia/ocz034