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<p>The increasing administrative workload across industries significantly impacts efficiency, productivity, and resource allocation. This study explores the transformative potential of artificial intelligence (AI) in automating administrative processes, with a particular focus on healthcare, education, and finance. By leveraging technologies such as natural language processing (NLP), machine learning (ML), and robotic process automation (RPA), AI can streamline workflows, enhance data accuracy, and reduce human error. Key applications discussed include intelligent document processing, automated form filling, and task scheduling, which collectively minimize repetitive tasks and enable professionals to prioritize strategic decision-making and client interactions. By synthesizing cross-industry AI applications, identifying key governance challenges, and proposing a comprehensive policy roadmap, this study advances AI and policy discourses with actionable strategies for ethically scaling AI-driven automation in administrative workflows.</p>

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Transforming paperwork with AI: applications across healthcare and other industries

  • 期刊论文

  • 发表日期：

    2025年5月12日

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  • Mustafa Al Jnainati,
  • Jana Al Jnainati,
  • Shree Rath,
  • Savvy Aujla,
  • Eeshah Nasir,
  • Aishwarya Govindarajan,
  • Yatee Samantaray,
  • Mehak Semy

摘要

The increasing administrative workload across industries significantly impacts efficiency, productivity, and resource allocation. This study explores the transformative potential of artificial intelligence (AI) in automating administrative processes, with a particular focus on healthcare, education, and finance. By leveraging technologies such as natural language processing (NLP), machine learning (ML), and robotic process automation (RPA), AI can streamline workflows, enhance data accuracy, and reduce human error. Key applications discussed include intelligent document processing, automated form filling, and task scheduling, which collectively minimize repetitive tasks and enable professionals to prioritize strategic decision-making and client interactions. By synthesizing cross-industry AI applications, identifying key governance challenges, and proposing a comprehensive policy roadmap, this study advances AI and policy discourses with actionable strategies for ethically scaling AI-driven automation in administrative workflows.