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
Author(s):
DOI: 10.1093/jamia/ocad044
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
Nonexercise algorithms are cost-effective methods to estimate cardiorespiratory fitness (CRF), but the existing models have limitations in generalizability and predictive power. This study aims to improve the nonexercise algorithms using machine learning (ML) methods and data from US national population surveys.
Author(s): Liu, Yuntian, Herrin, Jeph, Huang, Chenxi, Khera, Rohan, Dhingra, Lovedeep Singh, Dong, Weilai, Mortazavi, Bobak J, Krumholz, Harlan M, Lu, Yuan
DOI: 10.1093/jamia/ocad035
Understand the perceived role of electronic health records (EHR) and workflow fragmentation on clinician documentation burden in the emergency department (ED).
Author(s): Moy, Amanda J, Hobensack, Mollie, Marshall, Kyle, Vawdrey, David K, Kim, Eugene Y, Cato, Kenrick D, Rossetti, Sarah C
DOI: 10.1093/jamia/ocad038
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
(1) Characterize persistent hazards and inefficiencies in inpatient medication administration; (2) Explore cognitive attributes of medication administration tasks; and (3) Discuss strategies to reduce medication administration technology-related hazards.
Author(s): Taft, Teresa, Rudd, Elizabeth Anne, Thraen, Iona, Kazi, Sadaf, Pruitt, Zoe M, Bonk, Christopher W, Busog, Deanna-Nicole, Franklin, Ella, Hettinger, Aaron Z, Ratwani, Raj M, Weir, Charlene R
DOI: 10.1093/jamia/ocad031
The development of phenotypes using electronic health records is a resource-intensive process. Therefore, the cataloging of phenotype algorithm metadata for reuse is critical to accelerate clinical research. The Department of Veterans Affairs (VA) has developed a standard for phenotype metadata collection which is currently used in the VA phenomics knowledgebase library, CIPHER (Centralized Interactive Phenomics Resource), to capture over 5000 phenotypes. The CIPHER standard improves upon existing phenotype library metadata [...]
Author(s): Honerlaw, Jacqueline, Ho, Yuk-Lam, Fontin, Francesca, Gosian, Jeffrey, Maripuri, Monika, Murray, Michael, Sangar, Rahul, Galloway, Ashley, Zimolzak, Andrew J, Whitbourne, Stacey B, Casas, Juan P, Ramoni, Rachel B, Gagnon, David R, Cai, Tianxi, Liao, Katherine P, Gaziano, J Michael, Muralidhar, Sumitra, Cho, Kelly
DOI: 10.1093/jamia/ocad030
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