AI-enhanced patient monitoring and Predictive Analytics are transforming raw healthcare data into actionable intelligence, improving patient outcomes, and saving lives
Author(s): Mani Kanta Pothuri
Publication #: 2511030
Date of Publication: 27.11.2025
Country: United States
Pages: 1-6
Published In: Volume 11 Issue 6 November-2025
DOI: https://doi.org/10.62970/IJIRCT.v11.i6.2511030
Abstract
AI can be used as a basis for innovative tools in diagnosing diseases, monitoring patient situations, using predictive analytics, and natural language processing tools to understand and deliver actionable insights. AI can be effective in detecting patient records, providing informed decisions, and enabling effective outcomes. AI tools can enhance the allocation of clinical resources for effective patient management and support the extended use of data. Large volumes of data are analyzed to collaborate with technical advancements. This paper examines the modern technical tools employed in the healthcare industry. The analysis also aims to explore the challenges manifested in AI healthcare services and identify future innovations that can enhance these services.
Keywords: Predictive analytics, AI, ML, Patient management, healthcare, NLP
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