The relationship between biomedical and health informatics and society: is it time for a social contract?
Author(s): Bakken, Suzanne
DOI: 10.1093/jamia/ocad169
Author(s): Bakken, Suzanne
DOI: 10.1093/jamia/ocad169
Author(s): Bakken, Suzanne
DOI: 10.1093/jamia/ocad142
Long-lasting nonpharmaceutical interventions (NPIs) suppressed the infection of COVID-19 but came at a substantial economic cost and the elevated risk of the outbreak of respiratory infectious diseases (RIDs) following the pandemic. Policymakers need data-driven evidence to guide the relaxation with adaptive NPIs that consider the risk of both COVID-19 and other RIDs outbreaks, as well as the available healthcare resources.
Author(s): Yao, Yao, Zhou, Hanchu, Cao, Zhidong, Zeng, Daniel Dajun, Zhang, Qingpeng
DOI: 10.1093/jamia/ocad116
We sought to learn from the experiences of women leaders in informatics by interviewing women in Informatics leadership roles. Participants reported career challenges, how they built confidence, advice to their younger selves, and suggestions for attracting and retaining additional women. Respondents were 16 women in leadership roles in academia (n = 9) and industry (n = 7). We conducted a thematic analysis revealing: (1) careers in informatics are serendipitous and nurtured by supportive communities [...]
Author(s): Payne, Velma L, Partridge, Brittany, Bozkurt, Selen, Nandwani, Anjali, Butler, Jorie M
DOI: 10.1093/jamia/ocad108
To train and test a model predicting chronic kidney disease (CKD) using the Generalized Additive2 Model (GA2M), and compare it with other models being obtained with traditional or machine learning approaches.
Author(s): Lapi, Francesco, Nuti, Lorenzo, Marconi, Ettore, Medea, Gerardo, Cricelli, Iacopo, Papi, Matteo, Gorini, Marco, Fiorani, Matteo, Piccinocchi, Gaetano, Cricelli, Claudio
DOI: 10.1093/jamia/ocad097
To develop a natural language processing system that solves both clinical concept extraction and relation extraction in a unified prompt-based machine reading comprehension (MRC) architecture with good generalizability for cross-institution applications.
Author(s): Peng, Cheng, Yang, Xi, Yu, Zehao, Bian, Jiang, Hogan, William R, Wu, Yonghui
DOI: 10.1093/jamia/ocad107
To derive a comprehensive implementation framework for clinical AI models within hospitals informed by existing AI frameworks and integrated with reporting standards for clinical AI research.
Author(s): van der Vegt, Anton H, Scott, Ian A, Dermawan, Krishna, Schnetler, Rudolf J, Kalke, Vikrant R, Lane, Paul J
DOI: 10.1093/jamia/ocad088
To compare the effectiveness of 2 clinical decision support (CDS) tools to avoid prescription of nonsteroidal anti-inflammatory drugs (NSAIDs) in patients with heart failure (HF): a "commercial" and a locally "customized" alert.
Author(s): Shakowski, Courtney, Page Ii, Robert L, Wright, Garth, Lunowa, Cali, Marquez, Clyde, Suresh, Krithika, Allen, Larry A, Glasgow, Russel E, Lin, Chen-Tan, Wick, Abraham, Trinkley, Katy E
DOI: 10.1093/jamia/ocad109
We aimed to assess ChatGPT's performance on the Clinical Informatics Board Examination and to discuss the implications of large language models (LLMs) for board certification and maintenance. We tested ChatGPT using 260 multiple-choice questions from Mankowitz's Clinical Informatics Board Review book, omitting 6 image-dependent questions. ChatGPT answered 190 (74%) of 254 eligible questions correctly. While performance varied across the Clinical Informatics Core Content Areas, differences were not statistically significant. ChatGPT's [...]
Author(s): Kumah-Crystal, Yaa, Mankowitz, Scott, Embi, Peter, Lehmann, Christoph U
DOI: 10.1093/jamia/ocad104
Successful model development requires both an accurate a priori understanding of future performance and high performance on deployment. Optimistic estimations of model performance that are unrealized in real-world clinical settings can contribute to nonuse of predictive models. This study used 2 tasks, predicting ICU mortality and Bi-Level Positive Airway Pressure failure, to quantify: (1) how well internal test performances derived from different methods of partitioning data into development and test [...]
Author(s): Zhou, Alice X, Aczon, Melissa D, Laksana, Eugene, Ledbetter, David R, Wetzel, Randall C
DOI: 10.1093/jamia/ocad100