Is ChatGPT worthy enough for provisioning clinical decision support?
Author(s): Ray, Partha Pratim
DOI: 10.1093/jamia/ocae282
Author(s): Ray, Partha Pratim
DOI: 10.1093/jamia/ocae282
Author(s):
DOI: 10.1093/jamia/ocae283
The NIH All of Us Research Program aims to advance personalized medicine by not only linking patient records, surveys, and genomic data but also engaging with participants, particularly from groups traditionally underrepresented in biomedical research (UBR). This study details how the dialogue between scientists and community members, including many from communities of color, shaped local research priorities.
Author(s): Thareja, Suma K, Yang, Xin, Upama, Paramita Basak, Abdullah, Aziz, Torres, Shary Pérez, Cocroft, Linda Jackson, Bubolz, Michael, McGaughey, Kari, Lou, Xuelin, Kamaraju, Sailaja, Ahamed, Sheikh Iqbal, Madiraju, Praveen, Kwitek, Anne E, Whittle, Jeffrey, Franco, Zeno
DOI: 10.1093/jamia/ocae265
To assess the health disparities across social determinants of health (SDoH) domains for the risk of severe acidosis independent of demographical and clinical factors.
Author(s): Gatz, Allison E, Xiong, Chenxi, Chen, Yao, Jiang, Shihui, Nguyen, Chi Mai, Song, Qianqian, Li, Xiaochun, Zhang, Pengyue, Eadon, Michael T, Su, Jing
DOI: 10.1093/jamia/ocae256
The All of Us Evenings with Genetics (EwG) Research Program at Baylor College of Medicine (BCM), funded to engage research scholars to work with the All of Us data, developed a training curriculum for the Researcher Workbench, the platform to access and analyze All of Us data. All of Us EwG developed the curriculum so that it could teach scholars regardless of their skills and background in programming languages and [...]
Author(s): Coleman, Julie R, Baker, Jasmine N, Ketkar, Shamika, Butler, Ashley M, Williams, LaTerrica, Hammonds-Odie, Latanya, Atkinson, Elizabeth G, Murray, Debra D, Lee, Brendan, Worley, Kim C
DOI: 10.1093/jamia/ocae240
Educational offerings to fill the bioinformatics knowledge gap are a key component to enhancing access and use of health data from the All of Us Research Program. We developed a Train the Trainer-based, innovative training series including project-based learning, modular on-demand demonstrations, and unstructured tutorial time as a model for educational engagement in the All of Us community.
Author(s): Ritter, Deborah I, Byun, Jinyoung, Wang, Jun, Richards, Stephen, Luna, Pamela N, Williams, LaTerrica, Coleman, Julie R, Baker, Jasmine N, Ketkar, Shamika, Butler, Ashley M, Hammonds-Odie, Latanya, Atkinson, Elizabeth G, Worley, Kim C, Murray, Debra D, Lee, Brendan, Scherer, Steven E
DOI: 10.1093/jamia/ocae226
The increasing reliance on electronic health records (EHRs) for research and clinical care necessitates robust methods for assessing data quality and identifying inconsistencies. To address this need, we develop and apply the incongruence rate (IR) using sex-specific medical conditions. We also characterized participants with incongruent records to better understand the scope and nature of data discrepancies.
Author(s): Cai, Ling, DeBerardinis, Ralph J, Zhan, Xiaowei, Xiao, Guanghua, Xie, Yang
DOI: 10.1093/jamia/ocae236
Research on the conditions under which electronic cigarette (EC) use produces a net reduction in the population harm attributable to combusted cigarette (CC) use requires the triangulation of information from cohort(s) of smokers, non-smokers, EC users, and dual-users of all varieties.
Author(s): Kirchner, Thomas R, Tian, Danning, Li, Jian, Srivastava, Pranjal, Zheng, Yihao
DOI: 10.1093/jamia/ocae237
Disparity in kidney transplant access has been demonstrated by a disproportionately low rate of kidney transplantation in socioeconomically disadvantaged patients. However, the information is not from national representative populations with end-stage kidney disease (ESKD). We aim to examine whether socioeconomic disparity for kidney transplant access exists by utilizing data from the All of Us Research Program.
Author(s): Wang, Jiayuan, Cho, Kellie C, Tantisattamo, Ekamol
DOI: 10.1093/jamia/ocae178
Integration of social determinants of health into health outcomes research will allow researchers to study health inequities. The All of Us Research Program has the potential to be a rich source of social determinants of health data. However, user-friendly recommendations for scoring and interpreting the All of Us Social Determinants of Health Survey are needed to return value to communities through advancing researcher competencies in use of the All of [...]
Author(s): Koleck, Theresa A, Dreisbach, Caitlin, Zhang, Chen, Grayson, Susan, Lor, Maichou, Deng, Zhirui, Conway, Alex, Higgins, Peter D R, Bakken, Suzanne
DOI: 10.1093/jamia/ocae214