Correction to: Generalizable prediction of COVID-19 mortality on worldwide patient data.
[This corrects the article DOI: 10.1093/jamiaopen/ooac036.].
Author(s):
DOI: 10.1093/jamiaopen/ooac102
[This corrects the article DOI: 10.1093/jamiaopen/ooac036.].
Author(s):
DOI: 10.1093/jamiaopen/ooac102
In response to the coronavirus disease 2019 (COVID-19) pandemic, the Veterans Health Administration (VA) rapidly expanded virtual care (defined as care delivered by video and phone), raising concerns about technology access disparities (ie, the digital divide). Virtual care was somewhat established in primary care and mental health care prepandemic, but video telehealth implementation was new for most subspecialties, including cardiology. We sought to identify patient characteristics of virtual and video-based [...]
Author(s): Tisdale, Rebecca L, Ferguson, Jacqueline, Van Campen, James, Greene, Liberty, Sandhu, Alexander T, Heidenreich, Paul A, Zulman, Donna M
DOI: 10.1093/jamiaopen/ooac103
Congress and Medicare have required real-time benefit tools (RTBT) to provide patient-specific medication price information during prescribing to decrease the cost of medications. We sought physicians' perspectives on how these tools might most effectively improve their selection of low-cost medication.
Author(s): Everson, Jordan, Whitmore, Christine C, Mattingly, T Joseph, Sinaiko, Anna D, Dusetzina, Stacie B
DOI: 10.1055/a-1947-2674
We aim to reduce overfitting and model overconfidence by distilling the knowledge of an ensemble of deep learning models into a single model for the classification of cancer pathology reports.
Author(s): De Angeli, Kevin, Gao, Shang, Blanchard, Andrew, Durbin, Eric B, Wu, Xiao-Cheng, Stroup, Antoinette, Doherty, Jennifer, Schwartz, Stephen M, Wiggins, Charles, Coyle, Linda, Penberthy, Lynne, Tourassi, Georgia, Yoon, Hong-Jun
DOI: 10.1093/jamiaopen/ooac075
Seamless data integration between point-of-care medical devices and the electronic health record (EHR) can be central to clinical decision support systems (CDSS).
Author(s): Withall, Jennifer B, Schwartz, Jessica M, Usseglio, John, Cato, Kenrick D
DOI: 10.1055/s-0042-1759513
Intensive care unit (ICU) direct care nurses spend 22% of their shift completing tasks within the electronic health record (EHR). Miscommunications and inefficiencies occur, particularly during patient hand-off, placing patient safety at risk. Redesigning how direct care nurses visualize and interact with patient information during hand-off is one opportunity to improve EHR use. A web-based survey was deployed to better understand the information and visualization needs at patient hand-off to [...]
Author(s): Lindroth, Heidi L, Pinevich, Yuliya, Barwise, Amelia K, Fathma, Sawsan, Diedrich, Daniel, Pickering, Brian W, Herasevich, Vitaly
DOI: 10.1055/s-0042-1758735
Understanding electronic medical record (EMR) implementation in digital hospitals has focused on retrospective "work as imagined" experiences of multidisciplinary clinicians, rather than "work as done" behaviors. Our research question was "what is the behavior of multidisciplinary clinicians during the transition to a new digital hospital?"
Author(s): Canfell, Oliver J, Meshkat, Yasaman, Kodiyattu, Zack, Engstrom, Teyl, Chan, Wilkin, Mifsud, Jayden, Pole, Jason D, Byrne, Martin, Raders, Ella Van, Sullivan, Clair
DOI: 10.1055/s-0042-1758482
To improve clinical decision support (CDS) by allowing users to provide real-time feedback when they interact with CDS tools and by creating processes for responding to and acting on this feedback.
Author(s): Rubins, David, McCoy, Allison B, Dutta, Sayon, McEvoy, Dustin S, Patterson, Lorraine, Miller, Amy, Jackson, John G, Zuccotti, Gianna, Wright, Adam
DOI: 10.1055/s-0042-1757923
Author(s): Cato, Kenrick, Airan-Javia, Subha
DOI: 10.1055/a-1957-6669
Author(s): Smeallie, Eleanor, Rosenthal, Lindsay, Johnson, Amanda, Roslin, Chloe, Hassett, Afton L, Choi, Sung Won
DOI: 10.1055/s-0044-1785193