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
To evaluate the feasibility, accuracy, and interoperability of a natural language processing (NLP) system that extracts diagnostic assertions of pneumonia in different clinical notes and institutions.
Author(s): Chapman, Alec B, Peterson, Kelly S, Rutter, Elizabeth, Nevers, Mckenna, Zhang, Mingyuan, Ying, Jian, Jones, Makoto, Classen, David, Jones, Barbara
DOI: 10.1093/jamiaopen/ooac114
EHR-based sepsis research often uses heterogeneous definitions of sepsis leading to poor generalizability and difficulty in comparing studies to each other. We have developed OpenSep, an open-source pipeline for sepsis phenotyping according to the Sepsis-3 definition, as well as determination of time of sepsis onset and SOFA scores. The Minimal Sepsis Data Model was developed alongside the pipeline to enable the execution of the pipeline to diverse sources of electronic [...]
Author(s): Hofford, Mackenzie R, Yu, Sean C, Johnson, Alistair E W, Lai, Albert M, Payne, Philip R O, Michelson, Andrew P
DOI: 10.1093/jamiaopen/ooac105
Mapping internal, locally used lab test codes to standardized logical observation identifiers names and codes (LOINC) terminology has become an essential step in harmonizing electronic health record (EHR) data across different institutions. However, most existing LOINC code mappers are based on text-mining technology and do not provide robust multi-language support.
Author(s): Liu, Ke, Witteveen-Lane, Martin, Glicksberg, Benjamin S, Kulkarni, Omkar, Shankar, Rama, Chekalin, Evgeny, Paithankar, Shreya, Yang, Jeanne, Chesla, Dave, Chen, Bin
DOI: 10.1093/jamiaopen/ooac099
We introduce and review the concept of a study-a-thon as a catalyst for open science in medicine, utilizing harmonized real world, observation health data, tools, skills, and methods to conduct network studies, generating insights for those wishing to use study-a-thons for future research.
Author(s): Hughes, N, Rijnbeek, P R, van Bochove, K, Duarte-Salles, T, Steinbeisser, C, Vizcaya, D, Prieto-Alhambra, D, Ryan, P
DOI: 10.1093/jamiaopen/ooac100
The coronavirus disease 2019 (COVID-19) pandemic has disproportionately affected racial/ethnic minorities in the United States, who are underrepresented in clinical trials. We assessed the feasibility of using the University of Pennsylvania Health System electronic health record patient portal to diversify the pool of participants in COVID-19 vaccine clinical trials. The patient portal was used to send invitations to eligible individuals living in zip codes with high rates of racial/ethnic minorities [...]
Author(s): Yuh, Tiffany, Srivastava, Tuhina, Fiore, Danielle, Schmidt, Harald, Frank, Ian, Metzger, David, Momplaisir, Florence
DOI: 10.1093/jamiaopen/ooac091
[This corrects the article DOI: 10.1093/jamiaopen/ooac073.].
Author(s):
DOI: 10.1093/jamiaopen/ooac098
To demonstrate the utility of growthcleanr, an anthropometric data cleaning method designed for electronic health records (EHR).
Author(s): Lin, Pi-I D, Rifas-Shiman, Sheryl L, Aris, Izzuddin M, Daley, Matthew F, Janicke, David M, Heerman, William J, Chudnov, Daniel L, Freedman, David S, Block, Jason P
DOI: 10.1093/jamiaopen/ooac089
Climate change, human health, and healthcare systems are inextricably linked. As the climate warms due to greenhouse gas (GHG) emissions, extreme weather events, such as floods, fires, and heatwaves, will drive up demand for healthcare. Delivering healthcare also contributes to climate change, accounting for ∼5% of the global carbon emissions. To rein in healthcare's carbon footprint, clinicians and health policy makers must be able to measure the GHG contributions of [...]
Author(s): Smith, Carolynn L, Zurynski, Yvonne, Braithwaite, Jeffrey
DOI: 10.1093/jamia/ocac113
To explore the use of a shared communication and coordination platform-the CareVirtue journal feature-for care networks of people living with Alzheimer's disease and related dementias to inform the design of care network support technologies.
Author(s): Linden, Anna, Jolliff, Anna, Gonzalez, Deryk, Loganathar, Priya, Elliott, Christian, Zuraw, Matthew, Werner, Nicole E
DOI: 10.1093/jamia/ocac172