Letter to the Editor: Secondary use of electronic health record data for clinical workflow analysis.
Author(s): Klubert, David M, Black, Caroline
DOI: 10.1093/jamia/ocy029
Author(s): Klubert, David M, Black, Caroline
DOI: 10.1093/jamia/ocy029
Author(s): Hribar, Michelle R, Chiang, Michael F
DOI: 10.1093/jamia/ocy030
To evaluate the effect of a previously validated electronic health record-based child abuse trigger system on physician compliance with clinical guidelines for evaluation of physical abuse.
Author(s): Suresh, Srinivasan, Saladino, Richard A, Fromkin, Janet, Heineman, Emily, McGinn, Tom, Richichi, Rudolph, Berger, Rachel P
DOI: 10.1093/jamia/ocy025
The goal of this work is to map Unified Medical Language System (UMLS) concepts to DBpedia resources using widely accepted ontology relations from the Simple Knowledge Organization System (skos:exactMatch, skos:closeMatch) and from the Resource Description Framework Schema (rdfs:seeAlso), as a result of which a complete mapping from UMLS (UMLS 2016AA) to DBpedia (DBpedia 2015-10) is made publicly available that includes 221 690 skos:exactMatch, 26 276 skos:closeMatch, and 6 784 322 rdfs:seeAlso mappings.
Author(s): Cuzzola, John, Bagheri, Ebrahim, Jovanovic, Jelena
DOI: 10.1093/jamia/ocy021
In recent years, electronic health record systems have been widely implemented in China, making clinical data available electronically. However, little effort has been devoted to making drug information exchangeable among these systems. This study aimed to build a Normalized Chinese Clinical Drug (NCCD) knowledge base, by applying and extending the information model of RxNorm to Chinese clinical drugs.
Author(s): Wang, Li, Zhang, Yaoyun, Jiang, Min, Wang, Jingqi, Dong, Jiancheng, Liu, Yun, Tao, Cui, Jiang, Guoqian, Zhou, Yi, Xu, Hua
DOI: 10.1093/jamia/ocy020
Quantify the downstream impact on patient wait times and overall length of stay due to small increases in encounter times caused by the implementation of a new electronic health record (EHR) system.
Author(s): Vahdat, Vahab, Griffin, Jacqueline A, Stahl, James E, Yang, F Clarissa
DOI: 10.1093/jamia/ocy024
Transgender individuals are vulnerable to negative health risks and outcomes, but research remains limited because data sources, such as electronic medical records (EMRs), lack standardized collection of gender identity information. Most EMR do not include the gold standard of self-identified gender identity, but International Classification of Diseases (ICDs) includes diagnostic codes indicating transgender-related clinical services. However, it is unclear if these codes can indicate transgender status. The objective of this [...]
Author(s): Blosnich, John R, Cashy, John, Gordon, Adam J, Shipherd, Jillian C, Kauth, Michael R, Brown, George R, Fine, Michael J
DOI: 10.1093/jamia/ocy022
Medical word sense disambiguation (WSD) is challenging and often requires significant training with data labeled by domain experts. This work aims to develop an interactive learning algorithm that makes efficient use of expert's domain knowledge in building high-quality medical WSD models with minimal human effort.
Author(s): Wang, Yue, Zheng, Kai, Xu, Hua, Mei, Qiaozhu
DOI: 10.1093/jamia/ocy013
Translating clinical evidence to daily practice remains a challenge and may improve with clinical pathways. We assessed interest in and usability of clinical pathways by primary care professionals.
Author(s): Toy, Jennifer M, Drechsler, Adam, Waters, Richard C
DOI: 10.1093/jamia/ocy010
The Safety Assurance Factors for EHR Resilience (SAFER) guides were released in 2014 to help health systems conduct proactive risk assessment of electronic health record (EHR)- safety related policies, processes, procedures, and configurations. The extent to which SAFER recommendations are followed is unknown.
Author(s): Sittig, Dean F, Salimi, Mandana, Aiyagari, Ranjit, Banas, Colin, Clay, Brian, Gibson, Kathryn A, Goel, Ashutosh, Hines, Robert, Longhurst, Christopher A, Mishra, Vimal, Sirajuddin, Anwar M, Satterly, Tyler, Singh, Hardeep
DOI: 10.1093/jamia/ocy033