The maturation of clinical research informatics as a subdomain of biomedical informatics.
Author(s): Bakken, Suzanne
DOI: 10.1093/jamia/ocaa312
Author(s): Bakken, Suzanne
DOI: 10.1093/jamia/ocaa312
We aimed to iteratively refine an implementation model for managing cloud-based longitudinal care plans (LCPs) for children with medical complexity (CMC).
Author(s): Wang, Grace, Wignall, Julia, Kinard, Dylan, Singh, Vidhi, Foster, Carolyn, Adams, Sherri, Pratt, Wanda, Desai, Arti D
DOI: 10.1093/jamia/ocaa207
Clinical research informatics tools are necessary to support comprehensive studies of infectious diseases. The National Institute of Allergy and Infectious Diseases (NIAID) developed the publicly accessible Tuberculosis Data Exploration Portal (TB DEPOT) to address the complex etiology of tuberculosis (TB).
Author(s): Long, Alyssa, Glogowski, Alexander, Meppiel, Matthew, De Vito, Lisa, Engle, Eric, Harris, Michael, Ha, Grace, Schneider, Darren, Gabrielian, Andrei, Hurt, Darrell E, Rosenthal, Alex
DOI: 10.1093/jamia/ocaa228
To develop a process for translating semi-structured clinical decision support (CDS) into shareable, computer-readable CDS.
Author(s): Michel, Jeremy J, Flores, Emilia J, Dutcher, Lauren, Mull, Nikhil K, Tsou, Amy Y
DOI: 10.1093/jamia/ocaa257
Author(s): Schuemie, Martijn J, Ryan, Patrick B, Pratt, Nicole, Chen, RuiJun, You, Seng Chan, Krumholz, Harlan M, Madigan, David, Hripcsak, George, Suchard, Marc A
DOI: 10.1093/jamia/ocaa256
Recently, there have been many efforts to use mobile apps as an aid in contact tracing to control the spread of the SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) (COVID-19 [coronavirus disease 2019]) pandemic. However, although many apps aim to protect individual privacy, the very nature of contact tracing must reveal some otherwise protected personal information. Digital contact tracing has endemic privacy risks that cannot be removed by technological means [...]
Author(s): Bengio, Yoshua, Ippolito, Daphne, Janda, Richard, Jarvie, Max, Prud'homme, Benjamin, Rousseau, Jean-François, Sharma, Abhinav, Yu, Yun William
DOI: 10.1093/jamia/ocaa153
Drug combination screening has advantages in identifying cancer treatment options with higher efficacy without degradation in terms of safety. A key challenge is that the accumulated number of observations in in-vitro drug responses varies greatly among different cancer types, where some tissues are more understudied than the others. Thus, we aim to develop a drug synergy prediction model for understudied tissues as a way of overcoming data scarcity problems.
Author(s): Kim, Yejin, Zheng, Shuyu, Tang, Jing, Jim Zheng, Wenjin, Li, Zhao, Jiang, Xiaoqian
DOI: 10.1093/jamia/ocaa212
Widespread technological changes, like the rapid uptake of telehealth in the US during the COVID-19 pandemic, risk creating or widening racial/ethnic disparities. We conducted a secondary analysis of a cross-sectional, nationally representative survey of internet users to evaluate whether there were racial/ethnic disparities in self-reported telehealth use early in the pandemic.
Author(s): Campos-Castillo, Celeste, Anthony, Denise
DOI: 10.1093/jamia/ocaa221
The COVID-19 pandemic response in the United States has exposed significant gaps in information systems and processes that prevent timely clinical and public health decision-making. Specifically, the use of informatics to mitigate the spread of SARS-CoV-2, support COVID-19 care delivery, and accelerate knowledge discovery bring to the forefront issues of privacy, surveillance, limits of state powers, and interoperability between public health and clinical information systems. Using a consensus-building process, we [...]
Author(s): Subbian, Vignesh, Solomonides, Anthony, Clarkson, Melissa, Rahimzadeh, Vasiliki Nataly, Petersen, Carolyn, Schreiber, Richard, DeMuro, Paul R, Dua, Prerna, Goodman, Kenneth W, Kaplan, Bonnie, Koppel, Ross, Lehmann, Christoph U, Pan, Eric, Senathirajah, Yalini
DOI: 10.1093/jamia/ocaa188
This research aims to evaluate the impact of eligibility criteria on recruitment and observable clinical outcomes of COVID-19 clinical trials using electronic health record (EHR) data.
Author(s): Kim, Jae Hyun, Ta, Casey N, Liu, Cong, Sung, Cynthia, Butler, Alex M, Stewart, Latoya A, Ena, Lyudmila, Rogers, James R, Lee, Junghwan, Ostropolets, Anna, Ryan, Patrick B, Liu, Hao, Lee, Shing M, Elkind, Mitchell S V, Weng, Chunhua
DOI: 10.1093/jamia/ocaa276