Cloud-Based NLP Models for Clinical Documentation: Accelerating Insights from Unstructured Healthcare Data DOI

Venkateswara Reddi Cheruku

European Journal of Computer Science and Information Technology, Год журнала: 2025, Номер 13(22), С. 87 - 104

Опубликована: Апрель 15, 2025

Healthcare organizations face mounting challenges in extracting meaningful insights from the vast amount of unstructured clinical text data generated daily. This article explores how cloud-based Natural Language Processing (NLP) models are transforming documentation analysis, enabling healthcare providers to unlock valuable information at scale. By deploying advanced NLP technologies cloud environments, can efficiently identify key medical concepts, recognize relationships, and extract patterns physician notes, discharge summaries, radiology reports. The technological foundations, implementation approaches, practical applications, ethical considerations these systems examined alongside emerging trends that promise further enhance their capabilities. Cloud-based represents a transformative approach for institutions seeking convert narrative into actionable intelligence while maintaining security regulatory compliance.

Язык: Английский

Real-World Examples of Artificial Intelligence in the Healthcare Industry 4.0 DOI
Mahima Jain, Sanjay Dhir, Shuchi Sinha

и другие.

Flexible systems management, Год журнала: 2025, Номер unknown, С. 109 - 127

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Cloud-Based NLP Models for Clinical Documentation: Accelerating Insights from Unstructured Healthcare Data DOI

Venkateswara Reddi Cheruku

European Journal of Computer Science and Information Technology, Год журнала: 2025, Номер 13(22), С. 87 - 104

Опубликована: Апрель 15, 2025

Healthcare organizations face mounting challenges in extracting meaningful insights from the vast amount of unstructured clinical text data generated daily. This article explores how cloud-based Natural Language Processing (NLP) models are transforming documentation analysis, enabling healthcare providers to unlock valuable information at scale. By deploying advanced NLP technologies cloud environments, can efficiently identify key medical concepts, recognize relationships, and extract patterns physician notes, discharge summaries, radiology reports. The technological foundations, implementation approaches, practical applications, ethical considerations these systems examined alongside emerging trends that promise further enhance their capabilities. Cloud-based represents a transformative approach for institutions seeking convert narrative into actionable intelligence while maintaining security regulatory compliance.

Язык: Английский

Процитировано

0