International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 3 (May-June 2025) Submit your research before last 3 days of June to publish your research paper in the issue of May-June.
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Volume 7 Issue 3
May-June 2025

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Using Gen AI and LLMs for Process Automation in Healthcare

Author(s) Himadeep Movva
Country United States
Abstract The development of Electronic Medical Record (EMR) systems has improved the summarization features of these systems. Research has been well-positioned on how Large Language Models can be deployed alongside EMR systems to create efficient summarizations. This research paper focuses on using Natural Languageand thoroughly analyzes the integration of UiPath and GenAI into EMR systems. A hospital provider often interacts with various systems during patient care, and employees must deal with humongous data from various applications. Sometimes, the sheer nature of the volume of applications involved and the vast data from those applications make the analysis daunting. Effective summarization of unstructured patient data in Electronic Medical Record (EMR) systems is vital for accuracy in diagnosis and efficiency in patient care. But, due to the issues mentioned, clinicians often face an overload of information and time constraints. This research paper focuses on various functions in hospital operations and how data summarization and data analysis can effectivelyimprove care.The current functionality of EMR systems in summarizing the data is mentioned. Also, the importance of patient summaries in clinical data is discussed, and this research paper also provides a methodology on the usage and integration of UiPath and Gen AI activities for improving patient care.
Field Engineering
Published In Volume 7, Issue 3, May-June 2025
Published On 2025-05-31
DOI https://doi.org/10.36948/ijfmr.2025.v07i03.45870
Short DOI https://doi.org/g9mtrt
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E-ISSN 2582-2160
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