Clickbusters letter response.
Author(s): McCoy, Allison B, Russo, Elise M, Wright, Adam
DOI: 10.1093/jamia/ocad150
Author(s): McCoy, Allison B, Russo, Elise M, Wright, Adam
DOI: 10.1093/jamia/ocad150
This article reports on the alignment between the foundational domains and the delineation of practice (DoP) for health informatics, both developed by the American Medical Informatics Association (AMIA). Whereas the foundational domains guide graduate-level curriculum development and accreditation assessment, providing an educational pathway to the minimum competencies needed as a health informatician, the DoP defines the domains, tasks, knowledge, and skills that a professional needs to competently perform in the [...]
Author(s): Johnson, Todd R, Berner, Eta S, Feldman, Sue S, Jones, Josette, Valenta, Annette L, Borbolla, Damian, Deckard, Gloria, Manos, LaVerne
DOI: 10.1093/jamia/ocad146
Alzheimer's disease (AD) is a progressive neurological disorder with no specific curative medications. Sophisticated clinical skills are crucial to optimize treatment regimens given the multiple coexisting comorbidities in the patient population.
Author(s): Bhattarai, Kritib, Rajaganapathy, Sivaraman, Das, Trisha, Kim, Yejin, Chen, Yongbin, , , , , Dai, Qiying, Li, Xiaoyang, Jiang, Xiaoqian, Zong, Nansu
DOI: 10.1093/jamia/ocad135
To determine whether the Office of the National Coordinator's policy change restricting the use of "gag clauses" in contracts between electronic health record (EHR) vendors and healthcare facilities increased the prevalence of screenshots in peer-reviewed literature.
Author(s): Bapna, Monika, Miller, Kristen, Ratwani, Raj M
DOI: 10.1093/jamia/ocad138
Incorporating artificial intelligence (AI) into clinics brings the risk of automation bias, which potentially misleads the clinician's decision-making. The purpose of this study was to propose a potential strategy to mitigate automation bias.
Author(s): Wang, Ding-Yu, Ding, Jia, Sun, An-Lan, Liu, Shang-Gui, Jiang, Dong, Li, Nan, Yu, Jia-Kuo
DOI: 10.1093/jamia/ocad118
Clinical decision support (CDS) systems powered by predictive models have the potential to improve the accuracy and efficiency of clinical decision-making. However, without sufficient validation, these systems have the potential to mislead clinicians and harm patients. This is especially true for CDS systems used by opioid prescribers and dispensers, where a flawed prediction can directly harm patients. To prevent these harms, regulators and researchers have proposed guidance for validating predictive [...]
Author(s): McElfresh, Duncan C, Chen, Lucia, Oliva, Elizabeth, Joyce, Vilija, Rose, Sherri, Tamang, Suzanne
DOI: 10.1093/jamia/ocad110
Health organizations and systems rely on increasingly sophisticated informatics infrastructure. Without anti-racist expertise, the field risks reifying and entrenching racism in information systems. We consider ways the informatics field can recognize institutional, systemic, and structural racism and propose the use of the Public Health Critical Race Praxis (PHCRP) to mitigate and dismantle racism in digital forms. We enumerate guiding questions for stakeholders along with a PHCRP-Informatics framework. By focusing on [...]
Author(s): Platt, Jodyn, Nong, Paige, Merid, Beza, Raj, Minakshi, Cope, Elizabeth, Kardia, Sharon, Creary, Melissa
DOI: 10.1093/jamia/ocad123
We extended a 2013 literature review on electronic health record (EHR) data quality assessment approaches and tools to determine recent improvements or changes in EHR data quality assessment methodologies.
Author(s): Lewis, Abigail E, Weiskopf, Nicole, Abrams, Zachary B, Foraker, Randi, Lai, Albert M, Payne, Philip R O, Gupta, Aditi
DOI: 10.1093/jamia/ocad120
Little is known about proactive risk assessment concerning emergency department (ED) visits and hospitalizations in patients with heart failure (HF) who receive home healthcare (HHC) services. This study developed a time series risk model for predicting ED visits and hospitalizations in patients with HF using longitudinal electronic health record data. We also explored which data sources yield the best-performing models over various time windows.
Author(s): Chae, Sena, Davoudi, Anahita, Song, Jiyoun, Evans, Lauren, Hobensack, Mollie, Bowles, Kathryn H, McDonald, Margaret V, Barrón, Yolanda, Rossetti, Sarah Collins, Cato, Kenrick, Sridharan, Sridevi, Topaz, Maxim
DOI: 10.1093/jamia/ocad129
Sexual and gender minority (SGM) older adults experience greater health disparities compared to non-SGM older adults. The SGM older adult population is growing rapidly. To address this disparity and gain a better understanding of their unique challenges in healthcare relies on accurate data collection. We conducted a secondary data analysis of 2018-2022 electronic health record data for older adults aged ≥50 years, in 1 large academic health system to determine [...]
Author(s): May, Jennifer T, Myers, John, Noonan, Devon, McConnell, Eleanor, Cary, Michael P
DOI: 10.1093/jamia/ocad130