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Health Bytes with Region 3

Health Bytes with Region 3

De : NNLM Region 3
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Health Bytes with Region 3 is the audio version of a monthly webinar presented by the Network of the National Library of Medicine Region 3. We invite experts in the field of health to present on varied topics of interest to health sciences librarians, promotores, and anyone interested in improving health outcomes. This project was supported by the National Library Of Medicine of the National Institutes of Health under Award Number UG4LM012345. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.NNLM Region 3
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    Épisodes
    • Carrying the Stories Forward: A 2025 Health Bytes Wrap Up
      Jan 2 2026

      As we bring 2025 to a close, we’re revisiting two conversations that stayed with us long after they ended—Still Me: A Journey Through Alzheimer’s, sharing Holly’s lived experience, and Dr. Sarah Ross: Alzheimer’s, Dementia, and Technology, exploring how innovation is shaping care.


      Before we begin, we want to take a moment to say thank you. Thank you for listening, for learning, and for showing up with curiosity and compassion. Every download, every shared episode, and every thoughtful conversation sparked by this podcast reminds us why this work matters.


      As we step into a new year, we carry these stories with us—and we look forward to continuing to learn, grow, and connect with you in the year ahead.

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      46 min
    • Applying AI: Risks and Benefits in Health Science Education
      Dec 17 2025

      “Applying AI: Risks and Benefits in Health Science Education” is presented by a team of experts from University of Kansas Medical Center (KUMC): Peter Johnson, MISLT, Head of Research and Learning; Prasanna Vaduvathiriyan, MLS, AHIP-D, Biomedical Librarian; and Perry T. Weidling BSN, MLIS, Research and Learning Librarian.


      Artificial Intelligence (AI) technologies are increasingly shifting how information and evidence is discovered, accessed, and utilized in academic health education teaching and instruction environments by both educators and learners. This shift extends to both the curriculum and clinical levels within evidence-based health education programs and represents opportunities and risks that librarians and health information professionals must be aware of and address to continue effectively meeting educator and learner support needs.


      Join University of Kansas Medical Center (KUMC) librarians as they discuss the foundational knowledge of AI, specific roles and benefits AI can bring to health education, and the ethical concerns, trends, and risk mitigations librarians and information professionals should remain aware of as they continue to teach and support learning within health education spaces.


      The Network of the National Library of Medicine is funded by the National Library of Medicine, National Institutes of Health, Department of Health and Human Services. Learn more at https://nnlm.gov


      To claim MLA CE: http://www.nnlm.gov/hb1025

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      1 h et 2 min
    • A Fireside Chat: Systematic Reviews - Margaret Foster and the team at Texas A&M
      Dec 17 2025

      “A Fireside Chat with Margaret Foster and the team at Texas A&M: Systematic Reviews”is presented by a team of experts from Texas A&M University: Margaret J. Foster, MS, MPH, Evidence Synthesis and Scholarly Dissemination Librarian and the Head of the Center for Systematic Reviews and Research Syntheses at the Medical Sciences Library; Kyle M. Holland, Information Specialist with the Center for Systematic Reviews and Research Syntheses; Esmeralda G. Rodgers, MLIS, AHIP, Evidence Review & Synthesis Librarian at the Medical Sciences Library; and Dani LaPreze, MLS, MS, is an Evidence Review & Synthesis Librarian at the Medical Sciences Library.


      Join Margaret Foster and the experts from The Center for Systematic Reviews and Research Syntheses at the Medical Sciences Library, Texas A&M University, for an insightful and informal session on systematic reviews!


      The first part of the presentation provides an update on emerging standards and best practices for integrating artificial intelligence (AI) into systematic reviews. Discover practical workflows and applications, along with a frank discussion of the challenges involved. The remainder of the session is dedicated to answering audience-submitted questions about systematic reviews.


      This class is for educational and informational purposes in alignment with NNLM goals and does not offer medical advice.


      The Network of the National Library of Medicine is funded by the National Library of Medicine, National Institutes of Health, Department of Health and Human Services. Learn more at https://nnlm.gov.


      To claim MLA CE: http://www.nnlm.gov/hb0925

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      1 h et 18 min
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