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Abstract

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Health sciences and hospital libraries often face challenges in planning and organizing events due to limited resources and staff. At Stanford School of Medicine's Lane Library, librarians turned to artificial intelligence (Al) tools to address this issue and successfully manage various events, from small workshops to larger, more complex conferences. This article presents a case study on how to effectively integrate generative Al tools into the event planning process, improving efficiency and freeing staff to focus on higher-level tasks.

Details

1009240
Subject
Marketing;
Conferences;
Artificial intelligence;
Medical libraries;
Events planning;
Librarians;
Health sciences;
Automation;
Library staff;
Chatbots;
Library associations;
Efficiency;
Case studies;
Productivity;
Libraries;
Medicine;
Workshops;
Planning;
Medical schools
Business indexing term
Company / organization
Name:
Stanford University School of Medicine
NAICS:
611310
Title
Leveraging AI tools for streamlined library event planning: a case study from Lane Medical Library
Author
Huddleston, Boglarka; Cuddy, Colleen
Publication title
Journal of the Medical Library Association; Chicago
Volume
113
Issue
1
Pages
88-89
Publication year
2025
Publication date
Jan 2025
Section
VIRTUAL PROJECTS
Publisher
University Library System, University of Pittsburgh
Place of publication
Chicago
Country of publication
United States
Publication subject
Medical Sciences, Library And Information Sciences
ISSN
15365050
e-ISSN
15589439
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
DOI
https://doi.org/10.5195/jmla.2025.2087
ProQuest document ID
3163927593
Document URL
https://www.proquest.com/scholarly-journals/leveraging-ai-tools-streamlined-library-event/docview/3163927593/se-2?accountid=208611
Copyright
© 2025. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-11-14
Database
ProQuest One Academic