Various data quality issues have prevented healthcare administration data from being fully utilized when dealing with problems ranging from COVID-19 contact tracing to controlling healthcare costs.
Author(s): Zhang, Yili, Callaghan-Koru, Jennifer A, Koru, Güneş
DOI: 10.1093/jamiaopen/ooae058
Generative artificial intelligence (AI) tools may soon be integrated into health care practice and research. Nurses in leadership roles, many of whom are doctorally prepared, will need to determine whether and how to integrate them in a safe and useful way.
Author(s): Reading Turchioe, Meghan, Kisselev, Sergey, Van Bulck, Liesbet, Bakken, Suzanne
DOI: 10.1055/a-2373-3151
Post-discharge adverse events (AEs) are common and heralded by new and worsening symptoms (NWS). We evaluated the effect of electronic health record (EHR)-integrated digital tools designed to promote quality and safety in hospitalized patients on NWS and AEs after discharge.
Author(s): Vasudevan, Anant, Plombon, Savanna, Piniella, Nicholas, Garber, Alison, Malik, Maria, O'Fallon, Erin, Goyal, Abhishek, Gershanik, Esteban, Kumar, Vivek, Fiskio, Julie, Yoon, Cathy, Lipsitz, Stuart R, Schnipper, Jeffrey L, Dalal, Anuj K
DOI: 10.1093/jamia/ocae176
Returning aggregate study results is an important ethical responsibility to promote trust and inform decision making, but the practice of providing results to a lay audience is not widely adopted. Barriers include significant cost and time required to develop lay summaries and scarce infrastructure necessary for returning them to the public. Our study aims to generate, evaluate, and implement ChatGPT 4 lay summaries of scientific abstracts on a national clinical [...]
Author(s): Shyr, Cathy, Grout, Randall W, Kennedy, Nan, Akdas, Yasemin, Tischbein, Maeve, Milford, Joshua, Tan, Jason, Quarles, Kaysi, Edwards, Terri L, Novak, Laurie L, White, Jules, Wilkins, Consuelo H, Harris, Paul A
DOI: 10.1093/jamia/ocae186
To develop and validate a novel measure, action entropy, for assessing the cognitive effort associated with electronic health record (EHR)-based work activities.
Author(s): Kim, Seunghwan, Warner, Benjamin C, Lew, Daphne, Lou, Sunny S, Kannampallil, Thomas
DOI: 10.1093/jamia/ocae171
To improve firearm injury encounter classification (new vs follow-up) using machine learning (ML) and compare our ML model to other common approaches.
Author(s): Ancona, Rachel M, Cooper, Benjamin P, Foraker, Randi, Kaser, Taylor, Adeoye, Opeolu, Mueller, Kristen L
DOI: 10.1093/jamia/ocae173
Wrong-patient order entry (WPOE) is a potentially dangerous medical error. It remains unknown if patient photographs reduce WPOE in the pediatric inpatient population.
Author(s): Rzewnicki, Daniel, Kanvinde, Atul, Gillespie, Scott, Orenstein, Evan
DOI: 10.1093/jamiaopen/ooae042
To evaluate the use of patient portal messaging to recruit individuals historically underrepresented in biomedical research (UBR) to the All of Us Research Program (AoURP) at a single recruitment site.
Author(s): Beaton, Maura, Jiang, Xinzhuo, Minto, Elise, Lau, Chun Yee, Turner, Lennon, Hripcsak, George, Chaudhari, Kanchan, Natarajan, Karthik
DOI: 10.1093/jamia/ocae135
Adverse drug reactions (ADRs) are a significant healthcare concern. They are often documented as free text in electronic health records (EHRs), making them challenging to use in clinical decision support systems (CDSS). The study aimed to develop a text mining algorithm to identify ADRs in free text of Dutch EHRs.
Author(s): van de Burgt, Britt W M, Wasylewicz, Arthur T M, Dullemond, Bjorn, Jessurun, Naomi T, Grouls, Rene J E, Bouwman, R Arthur, Korsten, Erik H M, Egberts, Toine C G
DOI: 10.1093/jamiaopen/ooae070
Our objective was to determine the feasibility and preliminary efficacy of a behavioral nudge on adoption of a clinical decision support (CDS) tool.
Author(s): Richardson, Safiya, Dauber-Decker, Katherine L, Solomon, Jeffrey, Seelamneni, Pradeep, Khan, Sundas, Barnaby, Douglas P, Chelico, John, Qiu, Michael, Liu, Yan, Sanghani, Shreya, Izard, Stephanie M, Chiuzan, Codruta, Mann, Devin, Pekmezaris, Renee, McGinn, Thomas, Diefenbach, Michael A
DOI: 10.1093/jamiaopen/ooae064