Author(s):
DOI: 10.1093/jamia/ocae021
The aim of this study was to investigate how healthcare staff intermediaries support Federally Qualified Health Center (FQHC) patients' access to telehealth, how their approaches reflect cognitive load theory (CLT) and determine which approaches FQHC patients find helpful and whether their perceptions suggest cognitive load (CL) reduction.
Author(s): Williamson, Alicia K, Antonio, Marcy G, Davis, Sage, Kameswaran, Vaishnav, Dillahunt, Tawanna R, Buis, Lorraine R, Veinot, Tiffany C
DOI: 10.1093/jamia/ocad257
To report on clinical informatics (CI) fellows' job search and early careers.
Author(s): Kim, Ellen, Van Cain, Melissa, Hron, Jonathan D
DOI: 10.1093/jamia/ocae008
The 21st Century Cures Act Final Rule requires that certified electronic health records (EHRs) be able to export a patient's full set of electronic health information (EHI). This requirement becomes more powerful if EHI exports use interoperable application programming interfaces (APIs). We sought to advance the ecosystem, instantiating policy desiderata in a working reference implementation based on a consensus design.
Author(s): Phelan, Dylan, Gottlieb, Daniel, Mandel, Joshua C, Ignatov, Vladimir, Jones, James, Marquard, Brett, Ellis, Alyssa, Mandl, Kenneth D
DOI: 10.1093/jamia/ocae013
COVID-19, since its emergence in December 2019, has globally impacted research. Over 360 000 COVID-19-related manuscripts have been published on PubMed and preprint servers like medRxiv and bioRxiv, with preprints comprising about 15% of all manuscripts. Yet, the role and impact of preprints on COVID-19 research and evidence synthesis remain uncertain.
Author(s): Tong, Jiayi, Luo, Chongliang, Sun, Yifei, Duan, Rui, Saine, M Elle, Lin, Lifeng, Peng, Yifan, Lu, Yiwen, Batra, Anchita, Pan, Anni, Wang, Olivia, Li, Ruowang, Marks-Anglin, Arielle, Yang, Yuchen, Zuo, Xu, Liu, Yulun, Bian, Jiang, Kimmel, Stephen E, Hamilton, Keith, Cuker, Adam, Hubbard, Rebecca A, Xu, Hua, Chen, Yong
DOI: 10.1093/jamia/ocad248
To measure pediatrician adherence to evidence-based guidelines in the treatment of young children with attention-deficit/hyperactivity disorder (ADHD) in a diverse healthcare system using natural language processing (NLP) techniques.
Author(s): Pillai, Malvika, Posada, Jose, Gardner, Rebecca M, Hernandez-Boussard, Tina, Bannett, Yair
DOI: 10.1093/jamia/ocae001
Environmental health (EH) services in the United States lag behind other areas of public health and health care with respect to information system interoperability and data sharing. This is partly due to an absence of well-defined use cases, the lack of direct economic drivers and resources to improve, the multiple jurisdictional elements that govern EH services across the United States, and no central organization to drive modernization of EH data [...]
Author(s): Mitchell, Clifford S, Callahan, Tim, Flynn, Eamon
DOI: 10.1093/jamia/ocae003
Large language models (LLMs) have shown impressive ability in biomedical question-answering, but have not been adequately investigated for more specific biomedical applications. This study investigates ChatGPT family of models (GPT-3.5, GPT-4) in biomedical tasks beyond question-answering.
Author(s): Chen, Shan, Li, Yingya, Lu, Sheng, Van, Hoang, Aerts, Hugo J W L, Savova, Guergana K, Bitterman, Danielle S
DOI: 10.1093/jamia/ocad256
Knowledge gained from cohort studies has dramatically advanced both public and precision health. The All of Us Research Program seeks to enroll 1 million diverse participants who share multiple sources of data, providing unique opportunities for research. It is important to understand the phenomic profiles of its participants to conduct research in this cohort.
Author(s): Zeng, Chenjie, Schlueter, David J, Tran, Tam C, Babbar, Anav, Cassini, Thomas, Bastarache, Lisa A, Denny, Josh C
DOI: 10.1093/jamia/ocad260
Author(s):
DOI: 10.1093/jamia/ocae012