Optimizing Healthcare Data Extraction with AI: A Path to Improved Patient Care
Year: 2024
Type: article
Abstract: This study analyses the role of AI in enhancing the healthcare system by improving data extraction techniques to address various challenges in the healthcare sector. The roles of artificial intelligence (AI), like natural language processing (NLP) and machine learning (ML) in healthcare, allow the automation of the extraction of unstructured clinical information from records. This results in quicker diagnosis, enhanced treatment outcomes, and reduced paperwork. It has allowed for reduced burnout among healthcare professionals who would otherwise extract this data manually, allowing them to focus on providing better quality care to patients. While AI has been implemented in this sector, much must be done to achieve its full potential.
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4404187394