Quantitative and qualitative methods advance the science of clinical workflow research.
Author(s): Bakken, Suzanne
DOI: 10.1093/jamia/ocad056
Author(s): Bakken, Suzanne
DOI: 10.1093/jamia/ocad056
A prior randomized controlled trial (RCT) showed no significant difference in wrong-patient errors between clinicians assigned to a restricted electronic health record (EHR) configuration (limiting to 1 record open at a time) versus an unrestricted EHR configuration (allowing up to 4 records open concurrently). However, it is unknown whether an unrestricted EHR configuration is more efficient. This substudy of the RCT compared clinician efficiency between EHR configurations using objective measures [...]
Author(s): Kneifati-Hayek, Jerard Z, Applebaum, Jo R, Schechter, Clyde B, Dal Col, Alexis, Salmasian, Hojjat, Southern, William N, Adelman, Jason S
DOI: 10.1093/jamia/ocad025
The COVID-19 pandemic exposed multiple weaknesses in the nation's public health system. Therefore, the American College of Medical Informatics selected "Rebuilding the Nation's Public Health Informatics Infrastructure" as the theme for its annual symposium. Experts in biomedical informatics and public health discussed strategies to strengthen the US public health information infrastructure through policy, education, research, and development. This article summarizes policy recommendations for the biomedical informatics community postpandemic. First, the [...]
Author(s): Dixon, Brian E, Staes, Catherine, Acharya, Jessica, Allen, Katie S, Hartsell, Joel, Cullen, Theresa, Lenert, Leslie, Rucker, Donald W, Lehmann, Harold
DOI: 10.1093/jamia/ocad033
This study aimed to assess Uganda's readiness for implementing a national Point-of-Care (PoC) electronic clinical data capture platform that can function in near real-time.
Author(s): Nabukenya, Josephine, Egwar, Andrew Alunyu, Drumright, Lydia, Semwanga, Agnes Rwashana, Kasasa, Simon
DOI: 10.1093/jamia/ocad034
Informatics researchers and practitioners have started exploring racism related to the implementation and use of electronic health records (EHRs). While this work has begun to expose structural racism which is a fundamental driver of racial and ethnic disparities, there is a lack of inclusion of concepts of racism in this work. This perspective provides a classification of racism at 3 levels-individual, organizational, and structural-and offers recommendations for future research, practice [...]
Author(s): Emani, Srinivas, Rodriguez, Jorge A, Bates, David W
DOI: 10.1093/jamia/ocad023
The All of Us Research Program makes individual-level data available to researchers while protecting the participants' privacy. This article describes the protections embedded in the multistep access process, with a particular focus on how the data was transformed to meet generally accepted re-identification risk levels.
Author(s): Xia, Weiyi, Basford, Melissa, Carroll, Robert, Clayton, Ellen Wright, Harris, Paul, Kantacioglu, Murat, Liu, Yongtai, Nyemba, Steve, Vorobeychik, Yevgeniy, Wan, Zhiyu, Malin, Bradley A
DOI: 10.1093/jamia/ocad021
There are over 363 customized risk models of the American College of Cardiology and the American Heart Association (ACC/AHA) pooled cohort equations (PCE) in the literature, but their gains in clinical utility are rarely evaluated. We build new risk models for patients with specific comorbidities and geographic locations and evaluate whether performance improvements translate to gains in clinical utility.
Author(s): Xu, Yizhe, Foryciarz, Agata, Steinberg, Ethan, Shah, Nigam H
DOI: 10.1093/jamia/ocad017
The 21st Century Cures Act and the rise of telemedicine led to renewed focus on patient portals. However, portal use disparities persist and are in part driven by limited digital literacy. To address digital disparities in primary care, we implemented an integrated digital health navigator program supporting portal use among patients with type II diabetes. During our pilot, we were able to enroll 121 (30.9%) patients onto the portal. Of [...]
Author(s): Rodriguez, Jorge Alberto, Charles, Jean-Pierre, Bates, David W, Lyles, Courtney, Southworth, Bonnie, Samal, Lipika
DOI: 10.1093/jamia/ocad015
Estimating the deterioration paths of chronic hepatitis B (CHB) patients is critical for physicians' decisions and patient management. A novel, hierarchical multilabel graph attention-based method aims to predict patient deterioration paths more effectively. Applied to a CHB patient data set, it offers strong predictive utilities and clinical value.
Author(s): Wu, Zejian Eric, Xu, Da, Hu, Paul Jen-Hwa, Huang, Ting-Shuo
DOI: 10.1093/jamia/ocad008
Increased social risk data collection in health care settings presents new opportunities to apply this information to improve patient outcomes. Clinical decision support (CDS) tools can support these applications. We conducted a participatory engagement process to develop electronic health record (EHR)-based CDS tools to facilitate social risk-informed care plan adjustments in community health centers (CHCs).
Author(s): Gunn, Rose, Pisciotta, Maura, Gold, Rachel, Bunce, Arwen, Dambrun, Katie, Cottrell, Erika K, Hessler, Danielle, Middendorf, Mary, Alvarez, Miguel, Giles, Lydia, Gottlieb, Laura M
DOI: 10.1093/jamia/ocad010