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Evolving Patient-Centered Care: How AI and Natural Language Processing Are Reshaping Digital Health Records
Authors
Arunkumar Paramasivan
Abstract
The integration of Artificial Intelligence (AI) and Natural Language Processing (NLP) in digital health record systems is transforming healthcare by making Electronic Health Records (EHRs) more accurate, accessible, and usable. EHRs, traditionally structured around rigid data formats, often fail to capture unstructured information critical to patient care, such as physician notes, patient histories, and complex medical research. Through AI and NLP, healthcare systems can now process and interpret these unstructured data sources, turning them into actionable insights. This article explores how these advancements streamline healthcare workflows, alleviate administrative burdens, and enable healthcare providers to make data-driven decisions with greater precision and speed. AI-driven predictive analytics and NLP algorithms facilitate the extraction and organization of vital patient information, fostering improved patient care by anticipating risks and optimizing treatment strategies. By ensuring that healthcare providers have real-time access to comprehensive patient data, AI and NLP empower a more patient-centered approach to care that emphasizes personalization and responsiveness to individual patient needs. As a result, healthcare professionals are better equipped to make informed decisions, enhancing outcomes and reducing errors. This article underscores the significant role of AI and NLP in reshaping digital health records to support a future where healthcare delivery is not only more efficient but also more aligned with the nuanced needs of each patient.
Keywords
Artificial Intelligence (AI), Natural Language Processing (NLP), Electronic Health Records (EHRs), patient-centered care, unstructured data, healthcare workflows, predictive analytics, personalized treatment, healthcare decision-making, digital health records.
Citation
Evolving Patient-Centered Care: How AI and Natural Language Processing Are Reshaping Digital Health Records. Arunkumar Paramasivan. 2020. IJIRCT, Volume 6, Issue 4. Pages 1-11. https://www.ijirct.org/viewPaper.php?paperId=2412088