Author(s): Balachandar, Niranjan, Chang, Ken, Kalpathy-Cramer, Jayashree, Rubin, Daniel L
DOI: 10.1093/jamia/ocaa118
In 2009, a prominent national report stated that 9% of US hospitals had adopted a "basic" electronic health record (EHR) system. This statistic was widely cited and became a memetic anchor point for EHR adoption at the dawn of HITECH. However, its calculation relies on specific treatment of the data; alternative approaches may have led to a different sense of US hospitals' EHR adoption and different subsequent public policy.
Author(s): Everson, Jordan, Rubin, Joshua C, Friedman, Charles P
DOI: 10.1093/jamia/ocaa090
As coronavirus disease 2019 (COVID-19) started its rapid emergence and gradually transformed into an unprecedented pandemic, the need for having a knowledge repository for the disease became crucial. To address this issue, a new COVID-19 machine-readable dataset known as the COVID-19 Open Research Dataset (CORD-19) has been released. Based on this, our objective was to build a computable co-occurrence network embeddings to assist association detection among COVID-19-related biomedical entities.
Author(s): Oniani, David, Jiang, Guoqian, Liu, Hongfang, Shen, Feichen
DOI: 10.1093/jamia/ocaa117
Author(s): Alper, Brian S, Richardson, Joshua E, Lehmann, Harold P, Subbian, Vignesh
DOI: 10.1093/jamia/ocaa114
The study sought to evaluate early lessons from a remote patient monitoring engagement and education technology solution for patients with coronavirus disease 2019 (COVID-19) symptoms.
Author(s): Annis, Tucker, Pleasants, Susan, Hultman, Gretchen, Lindemann, Elizabeth, Thompson, Joshua A, Billecke, Stephanie, Badlani, Sameer, Melton, Genevieve B
DOI: 10.1093/jamia/ocaa097
The study sought to describe the development, implementation, and requirements of laboratory information system (LIS) functionality to manage test ordering, registration, sample flow, and result reporting during the coronavirus disease 2019 (COVID-19) pandemic.
Author(s): Weemaes, Matthias, Martens, Steven, Cuypers, Lize, Van Elslande, Jan, Hoet, Katrien, Welkenhuysen, Joris, Goossens, Ria, Wouters, Stijn, Houben, Els, Jeuris, Kirsten, Laenen, Lies, Bruyninckx, Katrien, Beuselinck, Kurt, André, Emmanuel, Depypere, Melissa, Desmet, Stefanie, Lagrou, Katrien, Van Ranst, Marc, Verdonck, Ann K L C, Goveia, Jermaine
DOI: 10.1093/jamia/ocaa081
The study sought to evaluate the overall performance of hospitals that used the Computerized Physician Order Entry Evaluation Tool in both 2017 and 2018, along with their performance against fatal orders and nuisance orders.
Author(s): Co, Zoe, Holmgren, A Jay, Classen, David C, Newmark, Lisa, Seger, Diane L, Danforth, Melissa, Bates, David W
DOI: 10.1093/jamia/ocaa098
To determine the impact of a graphical information display on diagnosing circulatory shock.
Author(s): Reese, Thomas J, Del Fiol, Guilherme, Tonna, Joseph E, Kawamoto, Kensaku, Segall, Noa, Weir, Charlene, Macpherson, Brekk C, Kukhareva, Polina, Wright, Melanie C
DOI: 10.1093/jamia/ocaa086
The US National Library of Medicine regularly collects summary data on direct use of Unified Medical Language System (UMLS) resources. The summary data sources include UMLS user registration data, required annual reports submitted by registered users, and statistics on downloads and application programming interface calls. In 2019, the National Library of Medicine analyzed the summary data on 2018 UMLS use. The library also conducted a scoping review of the literature [...]
Author(s): Amos, Liz, Anderson, David, Brody, Stacy, Ripple, Anna, Humphreys, Betsy L
DOI: 10.1093/jamia/ocaa084
Author(s): Bakken, Suzanne
DOI: 10.1093/jamia/ocaa187