Corrigendum to: Drug-drug interaction discovery and demystification using Semantic Web technologies.
Author(s):
DOI: 10.1093/jamia/ocz061
Author(s):
DOI: 10.1093/jamia/ocz061
Prospective enrollment of research subjects in the fast-paced emergency department (ED) is challenging. We sought to develop a software application to increase real-time clinical trial enrollment during an ED visit. The Prospective Intelligence System for Clinical Emergency Services (PISCES) scans the electronic health record during ED encounters for preselected clinical characteristics of potentially eligible study participants and notifies the treating physician via mobile phone text alerts. PISCES alerts began 3 [...]
Author(s): Simon, Laura E, Rauchwerger, Adina S, Chettipally, Uli K, Babakhanian, Leon, Vinson, David R, Warton, E Margaret, Reed, Mary E, Kharbanda, Anupam B, Kharbanda, Elyse O, Ballard, Dustin W
DOI: 10.1093/jamia/ocz118
Clinical data of patients' measurements and treatment history stored in electronic health record (EHR) systems are starting to be mined for better treatment options and disease associations. A primary challenge associated with utilizing EHR data is the considerable amount of missing data. Failure to address this issue can introduce significant bias in EHR-based research. Currently, imputation methods rely on correlations among the structured phenotype variables in the EHR. However, genetic [...]
Author(s): Li, Ruowang, Chen, Yong, Moore, Jason H
DOI: 10.1093/jamia/ocz041
The study sought to determine availability and use of structured override reasons for drug-drug interaction (DDI) alerts in electronic health records.
Author(s): Wright, Adam, McEvoy, Dustin S, Aaron, Skye, McCoy, Allison B, Amato, Mary G, Kim, Hyun, Ai, Angela, Cimino, James J, Desai, Bimal R, El-Kareh, Robert, Galanter, William, Longhurst, Christopher A, Malhotra, Sameer, Radecki, Ryan P, Samal, Lipika, Schreiber, Richard, Shelov, Eric, Sirajuddin, Anwar Mohammad, Sittig, Dean F
DOI: 10.1093/jamia/ocz033
Although patient generated health data (PGHD) has stimulated excitement about its potential to increase patient engagement and to offer clinicians new insights into patient health status, we know little about these efforts at scale and whether they align with patient preferences. This study sought to characterize provider-led PGHD approaches, assess whether they aligned with patient preferences, and identify challenges to scale and impact.
Author(s): Adler-Milstein, Julia, Nong, Paige
DOI: 10.1093/jamia/ocz045
The objective of this study is to characterize the dynamic structure of primary care consultations by identifying typical activities and their inter-relationships to inform the design of automated approaches to clinical documentation using natural language processing and summarization methods.
Author(s): Kocaballi, Ahmet Baki, Coiera, Enrico, Tong, Huong Ly, White, Sarah J, Quiroz, Juan C, Rezazadegan, Fahimeh, Willcock, Simon, Laranjo, Liliana
DOI: 10.1093/jamia/ocz046
The purpose of this study was to determine if medication cost transparency alerts provided at time of prescribing led ambulatory prescribers to reduce their use of low-value medications.
Author(s): Monsen, Craig B, Liao, Joshua M, Gaster, Barak, Flynn, Kevin J, Payne, Thomas H
DOI: 10.1093/jamia/ocz025
Author(s):
DOI: 10.1093/jamia/ocz122
Healthcare information technologies are now a routine component of patient-clinician interactions. Originally designed for operational functions including billing and regulatory compliance, these systems have had unintended consequences including increased exam room documentation, divided attention during the visit, and use of scribes to alleviate documentation burdens. In an age in which technology is ubiquitous in everyday life, we must re-envision healthcare technology to support both clinical operations and, above all, the [...]
Author(s): Ray, Jessica M, Ratwani, Raj M, Sinsky, Christine A, Frankel, Richard M, Friedberg, Mark W, Powsner, Seth M, Rosenthal, David I, Wachter, Robert M, Melnick, Edward R
DOI: 10.1093/jamia/ocz098
The testing of informatics tools designed for use during mass casualty incidents presents a unique problem as there is no readily available population of victims or identical exposure setting. The purpose of this article is to describe the process of designing, planning, and executing a functional exercise to accomplish the research objective of validating an informatics tool specifically designed to identify and triage victims of irritant gas syndrome agents.
Author(s): Donevant, Sara B, Svendsen, Erik R, Richter, Jane V, Tavakoli, Abbas S, Craig, Jean B R, Boltin, Nicholas D, Valafar, Homayoun, DiNardi, Salvatore Robert, Culley, Joan M
DOI: 10.1093/jamia/ocz087