April 26, 2024, 4:47 a.m. | Saranya Krishnamoorthy, Ayush Singh, Shabnam Tafreshi

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.16294v1 Announce Type: new
Abstract: Electronic health records (EHR) even though a boon for healthcare practitioners, are growing convoluted and longer every day. Sifting around these lengthy EHRs is taxing and becomes a cumbersome part of physician-patient interaction. Several approaches have been proposed to help alleviate this prevalent issue either via summarization or sectioning, however, only a few approaches have truly been helpful in the past. With the rise of automated methods, machine learning (ML) has shown promise in solving …

abstract applications arxiv cs.ai cs.cl ehr electronic electronic health records every excel health healthcare llm open source part patient records type world

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