Correction to: Innovation of health data science curricula.
[This corrects the article DOI: 10.1093/jamiaopen/ooac073.].
Author(s):
DOI: 10.1093/jamiaopen/ooac098
[This corrects the article DOI: 10.1093/jamiaopen/ooac073.].
Author(s):
DOI: 10.1093/jamiaopen/ooac098
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
[This corrects the article DOI: 10.1093/jamiaopen/ooac036.].
Author(s):
DOI: 10.1093/jamiaopen/ooac102
This study aims to investigate key considerations and critical factors that influence the implementation and adoption of smart glasses in fast-paced medical settings such as emergency medical services (EMS).
Author(s): Zhang, Zhan, Ramiya Ramesh Babu, Noubrab Ashika, Adelgais, Kathleen, Ozkaynak, Mustafa
DOI: 10.1093/jamiaopen/ooac113
The goal of this study was to investigate the relationship between comorbidities and ethnic health disparities in a diverse, cosmopolitan population.
Author(s): Teagle, Whitney L, Norris, Emily T, Rishishwar, Lavanya, Nagar, Shashwat Deepali, Jordan, I King, Mariño-Ramírez, Leonardo
DOI: 10.1093/jamiaopen/ooac057
To examine the association of the coronavirus disease 2019 (COVID-19) pandemic, the association of sex, and the joint association of sex and the COVID-19 pandemic with health communication, physical activity, mental health, and behavioral health.
Author(s): Ye, Jiancheng, Ren, Zhimei
DOI: 10.1093/jamiaopen/ooac076
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
Given time constraints, poorly organized information, and complex patients, primary care providers (PCPs) can benefit from clinical decision support (CDS) tools that aggregate and synthesize problem-specific patient information. First, this article describes the design and functionality of a CDS tool for chronic noncancer pain in primary care. Second, we report on the retrospective analysis of real-world usage of the tool in the context of a pragmatic trial.
Author(s): Apathy, Nate C, Sanner, Lindsey, Adams, Meredith C B, Mamlin, Burke W, Grout, Randall W, Fortin, Saura, Hillstrom, Jennifer, Saha, Amit, Teal, Evgenia, Vest, Joshua R, Menachemi, Nir, Hurley, Robert W, Harle, Christopher A, Mazurenko, Olena
DOI: 10.1093/jamiaopen/ooac074
The rate of diabetic complication progression varies across individuals and understanding factors that alter the rate of complication progression may uncover new clinical interventions for personalized diabetes management.
Author(s): Momenzadeh, Amanda, Shamsa, Ali, Meyer, Jesse G
DOI: 10.1093/jamiaopen/ooac063
Poor electronic health record (EHR) usability contributes to clinician burnout and poses patent safety risks. Site-specific customization and configuration of EHRs require individual EHR system usability and safety testing which is resource intensive. We developed and pilot-tested a self-administered EHR usability and safety assessment tool, focused on computerized provider order entry (CPOE), which can be used by any facility to identify specific issues. In addition, the tool provides recommendations for [...]
Author(s): Pruitt, Zoe, Howe, Jessica L, Krevat, Seth A, Khairat, Saif, Ratwani, Raj M
DOI: 10.1093/jamiaopen/ooac070