Samantha Adams Festschrift: The Dot at the End of the Funnel-TILT Remembers Samantha Adams.
Author(s): Pierce, Robin L, Berti Suman, Anna, Koops, Bert-Jaap, Leenes, Ronald
DOI: 10.1055/s-0038-1641596
Author(s): Pierce, Robin L, Berti Suman, Anna, Koops, Bert-Jaap, Leenes, Ronald
DOI: 10.1055/s-0038-1641596
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
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
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
Author(s): Sarkar, Indra Neil
DOI: 10.1093/jamiao/ooy005
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
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
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
The most used search engine for scientific literature, PubMed, provides tools to filter results by several fields. When searching for reports on clinical trials, sample size can be among the most important factors to consider. However, PubMed does not currently provide any means of filtering search results by sample size. Such a filtering tool would be useful in a variety of situations, including meta-analyses or state-of-the-art analyses to support experimental [...]
Author(s): Baladrón, Carlos, Santos-Lozano, Alejandro, Aguiar, Javier M, Lucia, Alejandro, Martín-Hernández, Juan
DOI: 10.1093/jamia/ocx155