Home // AIHealth 2025, The Second International Conference on AI-Health // View article
Authors:
Abhinav Kona
Bibek Samal
Keywords: Artificial Intelligence; Social Determinants of Health; Medical Resources; Smart Assistant
Abstract:
Access to healthcare resources continues to be a critical issue for underserved populations, often exacerbated by barriers in languages and inefficient navigation systems. While Short Message System (SMS) text-based platforms have proven particularly valuable during the COVID-19 pandemic in enhancing communication and access, optimization of these systems through machine learning predictive models is an emerging area of investigation. To this end, we developed NextStep, an artificial intelligence-driven (AI-driven) multilingual healthcare assistant that streamlines resource access through real-time, personalized suggestions based on user need and location. Equipped with deep learning algorithms in natural language processing and machine learning, NextStep greatly enhances user interaction and better matches users with resources. This has resulted in significant enhancements to improve efficiency and increase patient satisfaction. Having been field-tested at hospitals and clinics, including Texas Children's Hospital and San Jose Clinic, NextStep showcases an extraordinary instance of AI in bridging gaps in health disparities. Future versions will add expanded language support and detailed predictive analytics to provide more tailored recommendations and anticipate patient needs.
Pages: 55 to 60
Copyright: Copyright (c) IARIA, 2025
Publication date: March 9, 2025
Published in: conference
ISBN: 978-1-68558-247-0
Location: Lisbon, Portugal
Dates: from March 9, 2025 to March 13, 2025