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| Main Author: | |
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| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.15501520 |
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Table of Contents:
- <p><em><span>Artificial Intelligence (AI) is reforming healthcare including machine learning, deep learning, natural language processing, predictive analysis. Many healthcare providers solicit help from AI tools offering solutions on prolonged hurdles in diagnosis, medication and patient care. This paper examines the transformative effects of AI in the healthcare sector, with a particular focus on Robotics Process Automation(RPA). RPA refers to the deployment of software robots to automate routine, rule-driven tasks traditionally completed by humans. It is one of the most impactful applications of AI which is transforming the way healthcare organizations manage routine, rule based tasks and reducing operational cost. The role of RPA in healthcare explores altering tasks such as patient data management, invoicing, claim processing, scheduling appointments and insurance status verification. RPA helps healthcare providers to enhance workflows by simplifying processes, reducing human errors, and liberating important resources for higher level clinical tasks. The paper highlights the challenges by implementing AI driven automation addressing data security challenges, integration difficulties and the necessity for workforce adjustment. The paper concluded by offering recommendations for the responsible integration of RPA in healthcare systems to maximize efficiency while addressing ethical and regulatory concerns.</span></em></p>