AI in health: keeping the human in the loop.
Author(s): Bakken, Suzanne
DOI: 10.1093/jamia/ocad091
Author(s): Bakken, Suzanne
DOI: 10.1093/jamia/ocad091
We performed a scoping review of algorithms using electronic health record (EHR) data to identify patients with Alzheimer's disease and related dementias (ADRD), to advance their use in research and clinical care.
Author(s): Walling, Anne M, Pevnick, Joshua, Bennett, Antonia V, Vydiswaran, V G Vinod, Ritchie, Christine S
DOI: 10.1093/jamia/ocad086
As the real-world electronic health record (EHR) data continue to grow exponentially, novel methodologies involving artificial intelligence (AI) are becoming increasingly applied to enable efficient data-driven learning and, ultimately, to advance healthcare. Our objective is to provide readers with an understanding of evolving computational methods and help in deciding on methods to pursue.
Author(s): Wang, Michelle, Sushil, Madhumita, Miao, Brenda Y, Butte, Atul J
DOI: 10.1093/jamia/ocad085
We sought to develop and evaluate an electronic health record (EHR) genetic testing tracking system to address the barriers and limitations of existing spreadsheet-based workarounds.
Author(s): Campbell, Ian M, Karavite, Dean J, Mcmanus, Morgan L, Cusick, Fred C, Junod, David C, Sheppard, Sarah E, Lourie, Eli M, Shelov, Eric D, Hakonarson, Hakon, Luberti, Anthony A, Muthu, Naveen, Grundmeier, Robert W
DOI: 10.1093/jamia/ocad070
Author(s):
DOI: 10.1093/jamia/ocad069
To determine if ChatGPT can generate useful suggestions for improving clinical decision support (CDS) logic and to assess noninferiority compared to human-generated suggestions.
Author(s): Liu, Siru, Wright, Aileen P, Patterson, Barron L, Wanderer, Jonathan P, Turer, Robert W, Nelson, Scott D, McCoy, Allison B, Sittig, Dean F, Wright, Adam
DOI: 10.1093/jamia/ocad072
Knowledgebases are needed to clarify correlations observed in real-world electronic health record (EHR) data. We posit design principles, present a unifying framework, and report a test of concept.
Author(s): Stead, William W, Lewis, Adam, Giuse, Nunzia B, Koonce, Taneya Y, Bastarache, Lisa
DOI: 10.1093/jamia/ocad078
The impacts of missing data in comparative effectiveness research (CER) using electronic health records (EHRs) may vary depending on the type and pattern of missing data. In this study, we aimed to quantify these impacts and compare the performance of different imputation methods.
Author(s): Zhou, Yizhao, Shi, Jiasheng, Stein, Ronen, Liu, Xiaokang, Baldassano, Robert N, Forrest, Christopher B, Chen, Yong, Huang, Jing
DOI: 10.1093/jamia/ocad066
The 21st Century Cures Act (Cures Act) information blocking regulations mandate timely patient access to their electronic health information. In most healthcare systems, this technically requires immediate electronic release of test results and clinical notes directly to patients. Patients could potentially be distressed by receiving upsetting results through an electronic portal rather than from a clinician. We present a case from 2018, several years prior to the implementation of the [...]
Author(s): Rotholz, Stephen, Lin, Chen-Tan
DOI: 10.1093/jamia/ocad074
To examine the real-world safety problems involving machine learning (ML)-enabled medical devices.
Author(s): Lyell, David, Wang, Ying, Coiera, Enrico, Magrabi, Farah
DOI: 10.1093/jamia/ocad065