Exploring the Role of Chat bots in Biomarker Extraction from Electronic Health Records: a Comprehensive Review
DOI:
https://doi.org/10.5281/Keywords:
Chat bots, Biomarker Extraction, Electronic Health Records, Natural Language Processing, Healthcare.Abstract
This paper delves into the potential of chat bots as tools for the extraction of biomarkers from Electronic Health Records (EHRs). It examines how advancements in natural language processing (NLP) and artificial intelligence (AI) have enabled chat bots to interpret and analyze vast amounts of unstructured clinical data within EHRs. The review highlights the efficiency of chat bots in identifying relevant biomarkers, which are crucial for disease diagnosis, treatment planning, and personalized medicine. Additionally, the paper discusses the challenges and limitations faced by chat bots in this domain, such as data privacy concerns, the need for high-quality training data, and the integration of these systems into existing healthcare workflows. Ultimately, this comprehensive review aims to provide insights into the current state and future directions of Chabot applications in biomarker extraction, emphasizing their potential to transform clinical research and healthcare delivery.
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