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The Role of Artificial Intelligence in Transforming Healthcare Management and Patient Care

Author

Listed:
  • Singh
  • Jamuna
  • Behera

Abstract

Introduction: Various studies and research articles were analyzed to gain insight into how AI technology can transform the landscape of health management systems as well as the quality of patient care. These were case studies, experimental and reviews of how AI was applied to healthcare. This enabled the authors to assess the results found regarding AI's impact on health care management and patient care. Methods: Numerous studies and research articles were reviewed to understand the role of AI in transforming healthcare management and patient care. These included case studies, experimental studies, and reviews that explored the use of AI in healthcare. The findings were analyzed to determine the impact of AI on healthcare management and patient care. Results: AI Adoption in Healthcare:Use of AI has improved healthcare management and patient care immensely. In the medical sector, AI-based applications like electronic health records (EHRs) and virtual assistants have taken over many routine administrative jobs, allowing practitioners to have more free time. As a result, organizations are benefitting from increased productivity and precise data management. Moreover, it has empowered processing and analyzing large scale of patients' data to detect trends and foresee possible health risks, resulting in more effective treatment strategies and tailored care. In addition, diagnostic tools are more accurate and surgical robots can perform better to help patients. Conclusions: The use of AI has transformed healthcare management and patient care by improving efficiency, accuracy, and personalized care. However, implementing AI in healthcare still faces challenges, such as data privacy and ethical concerns. Therefore, continual research and development, along with proper regulation, are crucial to fully harnessing AI's potential to benefit patients and healthcare providers.

Suggested Citation

Handle: RePEc:dbk:health:v:1:y:2022:i::p:117:id:117
DOI: 10.56294/hl2022117
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