Next-Generation Healthcare: How AI is shaping the Future of Healthcare Informatics

Authors

  • Bimalendu Pendy Independent Researcher, 39900 Blacow Road, Apt #58, Fremont, CA, 94538 Author

DOI:

https://doi.org/10.70445/gjmdsa.1.2.2024.236-254

Keywords:

Artificial Intelligence, Healthcare Informatics, Machine Learning, Clinical Decision Support, Predictive Analytics.

Abstract

The field of healthcare informatics is also being transformed by artificial Intelligence (AI), which allows conducting intelligent data analysis, predictive modeling, and automating clinical and administrative processes. This review discusses the underlying technologies in AI, such as machine learning and deep learning and natural language processing and computer vision, and their current applications in electronic health records, diagnostics, clinical decision support, and population health management. The combination of AI and healthcare infrastructure is associated with the opportunities of the personalized care, workflow optimization, and proactive approaches to the population health, as well as with ethical, legal, and operational issues. New developments in generative AI, digital twins, and autonomous systems point to a more efficient future being easier to achieve, patient-focused.

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Published

2024-12-15

Issue

Section

Articles

How to Cite

Next-Generation Healthcare: How AI is shaping the Future of Healthcare Informatics. (2024). Global Journal of Multidisciplinary Sciences and Arts , 1(2), 236-254. https://doi.org/10.70445/gjmdsa.1.2.2024.236-254