Integrating Artificial Intelligence for Enhancing Resources Services in Medical Libraries of North Indian Higher Education Institutions: A Conceptual Framework for Education 4.0

DOI

10.2991/978-94-6239-618-0_2How to use a DOI?

Keywords

Artificial Intelligence (AI); Medical Libraries; Higher Education Institutions (HEIs); Digitalization of Libraries; Natural Language Processing (NLP)

Abstract

The digitalization of higher education libraries has long been a hot topic in the development of Higher Education, especially now when we have entered the post-pandemic age -- an era where technology constantly develops at breathtaking speed. Medical libraries in North India affiliated with higher education institutions (HEIs) are, therefore, overwhelmed by the demand for digital resources from students, researchers, and faculty members. This research is based on a conceptual study to consider the deployment of AI in the context of e-resource services and as a strategic initiative for fulfilling such demands under Education 4.0 principles. It proposes a multi-faceted AI-integrated model with five key components: AI-powered discovery-and-access systems, smart resource utilization mechanisms, patient-facing interfaces that are interactive, adaptive training and feedback systems, and strong monitoring and- evaluation (M&E) dashboards [1].

The research identifies primary AI technologies, including natural language processing (NLP), machine learning algorithms, chat bots, OCR technologies, recommender systems, and AI-based summarization tools, as the main factors that make library spaces smart. The research model is not just about how AI can enhance operations. It also considers the institutional, infrastructural, ethical, and cultural issues that medical libraries in North Indian HEIs may encounter. Lack of sufficient digital infrastructure, privacy concerns related to data, algorithmic bias, low policy promotion, and staff with limited skills is among these issues [2].

This article contributes to the existing knowledge base in several ways: Firstly, it creates a conceptual framework for the morally responsible, environmentally friendly, and socially fair use of AI in the academic medical library environment. Moreover, the paper provides a wide range of strategies to decision-makers, librarians, technology experts, and researchers to facilitate a concerted approach in the areas of intelligent automation, user-centered engagement, and digital literacy. By connecting the theoretical framework with the practical side of the innovative implementation, this study is aimed to be a resource for fieldwork and pilot programs on AI-powered library services in medical education in India [3].

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Neeraj Kumar
AU  - Hemant Kumar Katiyar
PY  - 2026
DA  - 2026/03/16
TI  - Integrating Artificial Intelligence for Enhancing Resources Services in Medical Libraries of North Indian Higher Education Institutions: A Conceptual Framework for Education 4.0
BT  - Proceedings of 3rd International Conference on Library & Technology on “Artificial Intelligence and Humanities in Library and Education 4.0 (AIHLE 2025)
PB  - Atlantis Press
SP  - 5
EP  - 19
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-618-0_2
DO  - 10.2991/978-94-6239-618-0_2
ID  - Kumar2026
ER  -