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
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
Trauma-related hospitalizations drive a high percentage of health care expenditure and inpatient resource consumption, which is directly related to length of stay (LOS). Robust and reliable interactions among health care employees can reduce LOS. However, there is little known about whether certain patterns of interactions exist and how they relate to LOS and its variability. The objective of this study is to learn interaction patterns and quantify the relationship to [...]
Author(s): Chen, You, Patel, Mayur B, McNaughton, Candace D, Malin, Bradley A
DOI: 10.1093/jamia/ocy009
Venous thromboembolism (VTE) prophylaxis is an important consideration for hospitalized older adults, and the Padua Prediction Score (PPS) is a risk prediction tool used to prioritize patient selection. We developed an automated PPS (APPS) algorithm using electronic health record (EHR) data. This study examines the accuracy of APPS and its individual components versus manual data extraction.
Author(s): Pavon, Juliessa M, Sloane, Richard J, Pieper, Carl F, Colón-Emeric, Cathleen S, Cohen, Harvey J, Gallagher, David, Morey, Miriam C, McCarty, Midori, Ortel, Thomas L, Hastings, Susan N
DOI: 10.1055/s-0038-1670678
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
Mobile applications for improving diagnostic decision making often lack clinical evaluation. We evaluated if a mobile application improves generalist physicians' appropriate laboratory test ordering and diagnosis decisions and assessed if physicians perceive it as useful for learning.
Author(s): Meyer, Ashley N D, Thompson, Pamela J, Khanna, Arushi, Desai, Samir, Mathews, Benji K, Yousef, Elham, Kusnoor, Anita V, Singh, Hardeep
DOI: 10.1093/jamia/ocy026
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
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
Clinical pharmacogenomics (PGx) has the potential to make pharmacotherapy safer and more effective by utilizing genetic patient data for drug dosing and selection. However, widespread adoption of PGx depends on its successful integration into routine clinical care through clinical decision support tools, which is often hampered by insufficient or fragmented infrastructures. This paper describes the setup and implementation of a unique multimodal, multilingual clinical decision support intervention consisting of digital [...]
Author(s): Blagec, Kathrin, Koopmann, Rudolf, Crommentuijn-van Rhenen, Mandy, Holsappel, Inge, van der Wouden, Cathelijne H, Konta, Lidija, Xu, Hong, Steinberger, Daniela, Just, Enrico, Swen, Jesse J, Guchelaar, Henk-Jan, Samwald, Matthias
DOI: 10.1093/jamia/ocy005