Corrigendum to: The roles of the US National Library of Medicine and Donald A.B. Lindberg in revolutionizing biomedical and health informatics.
Author(s): Miller, Randolph A, Shortliffe, Edward H
DOI: 10.1093/jamia/ocac026
Author(s): Miller, Randolph A, Shortliffe, Edward H
DOI: 10.1093/jamia/ocac026
Author(s): Bakken, Suzanne
DOI: 10.1093/jamia/ocac042
Seizure frequency and seizure freedom are among the most important outcome measures for patients with epilepsy. In this study, we aimed to automatically extract this clinical information from unstructured text in clinical notes. If successful, this could improve clinical decision-making in epilepsy patients and allow for rapid, large-scale retrospective research.
Author(s): Xie, Kevin, Gallagher, Ryan S, Conrad, Erin C, Garrick, Chadric O, Baldassano, Steven N, Bernabei, John M, Galer, Peter D, Ghosn, Nina J, Greenblatt, Adam S, Jennings, Tara, Kornspun, Alana, Kulick-Soper, Catherine V, Panchal, Jal M, Pattnaik, Akash R, Scheid, Brittany H, Wei, Danmeng, Weitzman, Micah, Muthukrishnan, Ramya, Kim, Joongwon, Litt, Brian, Ellis, Colin A, Roth, Dan
DOI: 10.1093/jamia/ocac018
We sought to understand and synthesize review-level evidence on the challenges associated with accessibility of virtual care among underserved population groups and to identify strategies that can improve access to, uptake of, and engagement with virtual care for these populations.
Author(s): Budhwani, Suman, Fujioka, Jamie, Thomas-Jacques, Tyla, De Vera, Kristina, Challa, Priyanka, De Silva, Ryan, Fuller, Kaitlin, Shahid, Simone, Hogeveen, Sophie, Chandra, Shivani, Bhatia, R Sacha, Seto, Emily, Shaw, James
DOI: 10.1093/jamia/ocac022
The US Preventive Services Task Force (USPSTF) requires the estimation of lifetime pack-years to determine lung cancer screening eligibility. Leading electronic health record (EHR) vendors calculate pack-years using only the most recently recorded smoking data. The objective was to characterize EHR smoking data issues and to propose an approach to addressing these issues using longitudinal smoking data.
Author(s): Kukhareva, Polina V, Caverly, Tanner J, Li, Haojia, Katki, Hormuzd A, Cheung, Li C, Reese, Thomas J, Del Fiol, Guilherme, Hess, Rachel, Wetter, David W, Zhang, Yue, Taft, Teresa Y, Flynn, Michael C, Kawamoto, Kensaku
DOI: 10.1093/jamia/ocac020
Scanned documents (SDs), while common in electronic health records and potentially rich in clinically relevant information, rarely fit well with clinician workflow. Here, we identify scanned imaging reports requiring follow-up with high recall and practically useful precision.
Author(s): Kumar, Akshat, Goodrum, Heath, Kim, Ashley, Stender, Carly, Roberts, Kirk, Bernstam, Elmer V
DOI: 10.1093/jamia/ocac007
To facilitate patient disease subset and risk factor identification by constructing a pipeline which is generalizable, provides easily interpretable results, and allows replication by overcoming electronic health records (EHRs) batch effects.
Author(s): Maurits, Marc P, Korsunsky, Ilya, Raychaudhuri, Soumya, Murphy, Shawn N, Smoller, Jordan W, Weiss, Scott T, Huizinga, Thomas W J, Reinders, Marcel J T, Karlson, Elizabeth W, van den Akker, Erik B, Knevel, Rachel
DOI: 10.1093/jamia/ocac008
Since 2017, the TrueNTH Global Registry (TNGR) has aimed to drive improvement in patient outcomes for individuals with localized prostate cancer by collating data from healthcare institutions across 13 countries. As TNGR matures, a systematic evaluation of existing processes and documents is necessary to evaluate whether the registry is operating as intended. The main supporting documents: protocol and data dictionary, were comprehensively reviewed in a series of meetings over a [...]
Author(s): Sampurno, Fanny, Kowalski, Christoph, Connor, Sarah E, Nguyen, Anissa V, Acuña, Àngels Pont, Ng, Chi-Fai, Foster, Claire, Feick, Günter, Boronat, Olatz Garin, Dieng, Sebastian, Brglevska, Silvana, Ferrante, Stephanie, Leung, Steven, Villanti, Paul, Moore, Caroline M, Graham, Ian D, Millar, Jeremy L, Litwin, Mark S, Papa, Nathan
DOI: 10.1093/jamia/ocab281
Over the next decade, many health care organizations (HCOs) will transition from one electronic health record (EHR) to another; some forced by hospital acquisition and others by choice in search of better EHRs. Herein, we apply principles of Requisite Imagination, or the ability to imagine key aspects of the future one is planning, to offer 6 recommendations on how to proactively safeguard these transitions. First, HCOs should implement a proactive [...]
Author(s): Sittig, Dean F, Lakhani, Priti, Singh, Hardeep
DOI: 10.1093/jamia/ocab291
Evidence synthesis teams, physicians, policy makers, and patients and their families all have an interest in following the outcomes of clinical trials and would benefit from being able to evaluate both the results posted in trial registries and in the publications that arise from them. Manual searching for publications arising from a given trial is a laborious and uncertain process. We sought to create a statistical model to automatically identify [...]
Author(s): Smalheiser, Neil R, Holt, Arthur W
DOI: 10.1093/jamia/ocab290