Response to authors of "Barriers to hospital electronic public health reporting and implications for the COVID-19 pandemic".
Author(s): Staes, Catherine J, Jellison, James, Kurilo, Mary Beth, Keller, Rick, Kharrazi, Hadi
DOI: 10.1093/jamia/ocaa191
Author(s): Staes, Catherine J, Jellison, James, Kurilo, Mary Beth, Keller, Rick, Kharrazi, Hadi
DOI: 10.1093/jamia/ocaa191
Author(s): Holmgren, A Jay, Apathy, Nate C, Adler-Milstein, Julia
DOI: 10.1093/jamia/ocaa192
The growing complexity of data systems in health care has precipitated increasing demand for clinical informatics subspecialists. The first board certification exam for the clinical informatics subspecialty was offered in 2013. Characterizing trends in this novel workforce is important to inform its development.
Author(s): Desai, Sheena, Mostaghimi, Arash, Nambudiri, Vinod E
DOI: 10.1093/jamia/ocaa173
To develop a collection of concept-relationship-concept tuples to formally represent patients' care context data to inform electronic health record (EHR) development.
Author(s): Colicchio, Tiago K, Dissanayake, Pavithra I, Cimino, James J
DOI: 10.1093/jamia/ocaa134
Minority oversampling is a standard approach used for adjusting the ratio between the classes on imbalanced data. However, established methods often provide modest improvements in classification performance when applied to data with extremely imbalanced class distribution and to mixed-type data. This is usual for vital statistics data, in which the outcome incidence dictates the amount of positive observations. In this article, we developed a novel neural network-based oversampling method called [...]
Author(s): Koivu, Aki, Sairanen, Mikko, Airola, Antti, Pahikkala, Tapio
DOI: 10.1093/jamia/ocaa127
This study evaluates and characterizes the use of a confidential clinic note type as part of the implementation of open notes at a free-standing children's hospital. We describe how this electronic health record feature which disables patient and family access to selected notes in the patient portal is used across our institution, which clinicians are using this feature, and the type of data our clinicians consider confidential.
Author(s): Parsons, Chase R, Hron, Jonathan D, Bourgeois, Fabienne C
DOI: 10.1093/jamia/ocaa202
The objective was to understand how people respond to coronavirus disease 2019 (COVID-19) screening chatbots.
Author(s): Dennis, Alan R, Kim, Antino, Raimi, Ryan, Ayabakan, Sezgin
DOI: 10.1093/jamia/ocaa167
Developing algorithms to extract phenotypes from electronic health records (EHRs) can be challenging and time-consuming. We developed PheMap, a high-throughput phenotyping approach that leverages multiple independent, online resources to streamline the phenotyping process within EHRs.
Author(s): Zheng, Neil S, Feng, QiPing, Kerchberger, V Eric, Zhao, Juan, Edwards, Todd L, Cox, Nancy J, Stein, C Michael, Roden, Dan M, Denny, Joshua C, Wei, Wei-Qi
DOI: 10.1093/jamia/ocaa104
Building Uplifted Families (BUF) is a cross-sector community initiative to improve health and economic disparities in Charlotte, North Carolina. A formative evaluation strategy was used to support iterative process improvement and collaborative engagement of cross-sector partners. To address challenges with electronic data collection through REDCap Cloud, we developed the BUF Rapid Dissemination (BUF-RD) model, a multistage data governance system supplemented by open-source technologies, such as: Stage 1) data collection; Stage [...]
Author(s): Mayfield, Carlene A, Gigler, Margaret E, Snapper, Leslie, Jose, Jainmary, Tynan, Jackie, Scott, Victoria C, Dulin, Michael
DOI: 10.1093/jamia/ocaa181
The lack of precise and inclusive gender, sex, and sexual orientation (GSSO) data in electronic health records (EHRs) is perpetuating inequities of sexual and gender minorities (SGM). We conducted a rapid review on how GSSO documentation in EHRs should be modernized to improve the health of SGM.
Author(s): Lau, Francis, Antonio, Marcy, Davison, Kelly, Queen, Roz, Devor, Aaron
DOI: 10.1093/jamia/ocaa158