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Leveraging AI for Healthcare Administration: Streamlining Operations and Reducing Costs
Subject area: Science,Engineering and Technology · Area of research: Artificial Intelligence
Abstract
Artificial Intelligence (AI) has emerged as a powerful tool for streamlining healthcare administrative operations, offering innovative solutions to automate tasks, optimize workflows, and improve efficiency. This abstract provides an overview of how AI technologies such as Robotic Process Automation (RPA), predictive analytics, and Natural Language Processing (NLP) are transforming healthcare administration. RPA and AI-driven software applications are revolutionizing healthcare administration by automating routine tasks such as appointment scheduling, billing, and documentation. By handling repetitive, rule-based tasks with speed and accuracy, these technologies minimize errors, reduce administrative burden, and enhance overall operational efficiency. Predictive analytics, powered by AI, enable healthcare administrators to forecast patient volumes, optimize resource allocation, and identify opportunities for process improvement. By analyzing large datasets from electronic health records (EHRs) and operational metrics, predictive analytics models support data-driven decision-making to improve patient flow management and resource utilization. Moreover, AI-driven tools facilitate better communication and collaboration among healthcare providers, leading to improved care coordination and patient outcomes. NLP algorithms extract insights from unstructured text data, such as clinical notes and patient records, enabling healthcare administrators to monitor patient progress, identify trends, and exchange critical information among care team members. By leveraging AI-powered communication platforms, healthcare organizations enhance collaboration, streamline care coordination processes, and improve patient care quality. Embracing AI technologies allows healthcare organizations to optimize workflows, reduce costs, and ultimately enhance the delivery of care to patients. However, successful implementation requires adherence to regulatory standards and careful consideration of ethical considerations to maximize the benefits of AI in healthcare administration.
Keywords
Artificial Intelligence, Healthcare Administration, Streaming and Predictive Analysis
References
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How to cite this paper
@article{1705709,
author = {Oluwasanya Luke Ogunsakin, Sunday Anwansedo },
title = {Leveraging AI for Healthcare Administration: Streamlining Operations and Reducing Costs},
journal = {Iconic Research And Engineering Journals},
year = {2024},
volume = {7},
number = {10},
pages = {235-244},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1705709.pdf},
abstract = {Artificial Intelligence (AI) has emerged as a powerful tool for streamlining healthcare administrative operations, offering innovative solutions to automate tasks, optimize workflows, and improve efficiency. This abstract provides an overview of how AI technologies such as Robotic Process Automation (RPA), predictive analytics, and Natural Language Processing (NLP) are transforming healthcare administration. RPA and AI-driven software applications are revolutionizing healthcare administration by automating routine tasks such as appointment scheduling, billing, and documentation. By handling repetitive, rule-based tasks with speed and accuracy, these technologies minimize errors, reduce administrative burden, and enhance overall operational efficiency. Predictive analytics, powered by AI, enable healthcare administrators to forecast patient volumes, optimize resource allocation, and identify opportunities for process improvement. By analyzing large datasets from electronic health records (EHRs) and operational metrics, predictive analytics models support data-driven decision-making to improve patient flow management and resource utilization. Moreover, AI-driven tools facilitate better communication and collaboration among healthcare providers, leading to improved care coordination and patient outcomes. NLP algorithms extract insights from unstructured text data, such as clinical notes and patient records, enabling healthcare administrators to monitor patient progress, identify trends, and exchange critical information among care team members. By leveraging AI-powered communication platforms, healthcare organizations enhance collaboration, streamline care coordination processes, and improve patient care quality. Embracing AI technologies allows healthcare organizations to optimize workflows, reduce costs, and ultimately enhance the delivery of care to patients. However, successful implementation requires adherence to regulatory standards and careful consideration of ethical considerations to maximize the benefits of AI in healthcare administration.},
keywords = {Artificial Intelligence, Healthcare Administration, Streaming and Predictive Analysis},
month = {April},
}