Yale Journal of Biology and Medicine’s (YJBM) September 2023 issue on Big Data has been published on PubMed Central. This focus issue features articles on the accumulation of data and how scientists can use this information to make connections and discoveries.
Highlights of the issue include an original research paper by Mohammed et al. (MIT, Cambridge, MA) about Racial Disparities in Invasive ICU Treatments Among Septic Patients using analysis from the MIMIC-IV database. Using a retrospective cohort study to analyze over 20,000 patients with sepsis, they were able to observe significant differences in treatment when factoring by ethnicity.
A review by Nadkarni and Sakhuja (Icahn School of Medicine at Mount Sinai, NY) on Clinical Informatics in Critical Care Medicine explored utilizing the massive amounts of available data in ICUs to minimize medical errors in decision making.
A mini-review by Amin et al. (Yale University) investigates Artificial Intelligence to Improve Patient Understanding of Radiology Reports by using large language models and artificial intelligence to assist both patients and radiologists.
Last, we present a perspectives piece by Zafar et al. (Aortic Institute, Yale New Haven Hospital), titled “Big Data” Analyses Underlie Clinical Discoveries at the Aortic Institute. The paper showcases their clinical database and how both modern and conventional methods can be used to improve aortic aneurysm prevention and care. It also is a follow-up of Dr. John Elefteriades’ 2008 article on Thoracic Aortic Aneurysm in the YJBM.
Read the entire YJBM archive for free on PubMed Central. The YJBM is open-access for all.
Deputy Editors of this issue: Conrad Safranek (MD Program, Yale University School of Medicine, Section for Biomedical Informatics and Data Science) and Ryland Mortlock (MD/PhD Program, Yale School of Medicine)