One common model utilized to understand clinical staff and patients' technology adoption is the technology acceptance model (TAM).
Author(s): Rahimi, Bahlol, Nadri, Hamed, Lotfnezhad Afshar, Hadi, Timpka, Toomas
DOI: 10.1055/s-0038-1668091
Informed and engaged parents may influence outcomes for childhood illness. Understanding the needs of the caregivers of pediatric patients is a critical first step in promoting engagement in their child's care. In 2014, we developed an Engagement Consultation Service at the Monroe Carell Jr. Children's Hospital at Vanderbilt. This service determines the health-related needs of the caregivers of hospitalized children and makes educational or technology recommendations to meet those needs [...]
Author(s): Lee, Daniel J, Cronin, Robert, Robinson, Jamie, Anders, Shilo, Unertl, Kim, Kelly, Katherine, Hankins, Heather, Skeens, Ryan, Jackson, Gretchen P
DOI: 10.1055/s-0038-1667205
There are few published studies of the use of portable or handheld computers in health care, but these devices have the potential to transform multiple aspects of clinical teaching and practice.
Author(s): Sweeney, Megan, Paruchuri, Kaavya, Weingart, Saul N
DOI: 10.1055/s-0038-1667121
Health care organizations increasingly use patient-reported outcomes (PROs) to capture patients' health status. Although federal policy mandates PRO collection, the challenge remains to better engage patients in PRO surveys, and ensure patients comprehend the surveys and their results.
Author(s): Grossman, Lisa V, Feiner, Steven K, Mitchell, Elliot G, Masterson Creber, Ruth M
DOI: 10.1055/s-0038-1667041
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
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
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