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Artificial Intelligence in Healthcare IT

  • Unique Paper ID: 165441
  • Volume: 11
  • Issue: 1
  • PageNo: 2890-2096
  • Abstract:
  • Recent developments in AI-driven healthcare IT, with an emphasis on diagnostics, therapy, and the incorporation of AI technology into patient care, are reviewed in detail in this research article. Advancements in medical imaging, more precise diagnoses, tailored treatment programmes, and better healthcare delivery as a whole are all results of the evolution of AI applications. Additionally, we cover the difficulties and ethical concerns related to AI implementation in healthcare. The study wraps off with some thoughts on what the future holds for healthcare IT and the revolutionary effects of AI in this field. The objective of improving healthcare IT through making it more interactive, personalised, predictive, and preventative might be further advanced with the help of artificial intelligence (AI). In the end, we anticipate that AI will evolve into a useful tool for healthcare IT, following its current trajectory. In addition to this, privacy and data security are major issues with AI-based systems. Health records are frequently the targets of data breaches due to their importance and vulnerability. Things have gotten even worse because there are no universally accepted standards for the ethical application of AI in healthcare IT. Since there are no established standards for the use of AI in healthcare, there is ongoing discussion on the appropriate scope of its application in this context. Hence, it is critical to keep medical records private. Possible problems with AI in healthcare IT implementation and how to fix them are discussed in this study. The main objective of improving healthcare IT through making it more interactive, personalised, predictive, and preventative might be further advanced with the help of artificial intelligence (AI). In the end, we anticipate that AI will evolve into a useful tool for healthcare IT, following its current trajectory. In addition to this, privacy and data security are major issues with AI-based systems. Health records are frequently the targets of data breaches due to their importance and vulnerability. Things have gotten even worse because there are no universally accepted standards for the ethical application of AI in healthcare IT. Since there are no established standards for the use of AI in healthcare, there is ongoing discussion on the appropriate scope of its application in this context. Hence, it is critical to keep medical records private. Possible problems with AI in healthcare IT implementation and how to fix them are discussed in this study. Healthcare IT solutions stand to be radically altered by the incorporation of AI. In this study, we look at how AI could improve healthcare on the cloud in terms of accessibility, accuracy, and efficiency. It takes a look at the problems and worries about cloud computing's effect on the environment and suggests ways to lessen those effects. It exemplifies how AI-driven solutions have revolutionised healthcare by enhancing marketing tactics, software for medical devices, and mobile applications. Healthcare organisations may enhance patient outcomes, streamline operations, and promote digital innovation by utilising AI technology in cloud computing.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 1
  • PageNo: 2890-2096

Artificial Intelligence in Healthcare IT

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Impact Factor
8.01 (Year 2024)
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