The Influence of Natural Language Processing Technologies on Clinical Documentation, Medical Research, and Healthcare Communication Efficiency
Abstract
Natural Language Processing (NLP) technologies are increasingly transforming healthcare by enabling efficient processing and analysis of unstructured clinical data. This study evaluates the influence of NLP on clinical documentation, medical research, and healthcare communication efficiency. A convergent mixed-methods approach was employed, combining quantitative data from 190 healthcare professionals and researchers with qualitative insights from case studies and expert interviews. The findings indicate that NLP significantly improves documentation accuracy, reduces administrative workload, and enhances research capabilities through automated data extraction and analysis. Additionally, NLP facilitates more efficient communication among healthcare providers. However, challenges such as language ambiguity, data quality, and integration issues remain critical barriers. The study provides strategic recommendations for optimizing NLP implementation in healthcare systems.
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Copyright (c) 2025 Fazliddin Arziqulov, Sayfullayeva Dilbar Izzatillayevna, Maxsudov Valijon Gafurjonovich (Author)
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