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RESEARCH

The document discusses the transformative impact of Artificial Intelligence (AI) and Generative AI (Gen AI) on healthcare efficiency and patient care. It highlights recent advancements in AI applications, including personalized treatment plans, administrative task automation, and improved patient access, addressing challenges like workforce shortages and chronic diseases. The integration of multi-modal data and cloud computing is emphasized as crucial for optimizing care delivery and enhancing clinical and operational efficiencies.

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16 views2 pages

RESEARCH

The document discusses the transformative impact of Artificial Intelligence (AI) and Generative AI (Gen AI) on healthcare efficiency and patient care. It highlights recent advancements in AI applications, including personalized treatment plans, administrative task automation, and improved patient access, addressing challenges like workforce shortages and chronic diseases. The integration of multi-modal data and cloud computing is emphasized as crucial for optimizing care delivery and enhancing clinical and operational efficiencies.

Uploaded by

markjamesvillafuerte7
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
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GROUP #7 VILLAFUERTE, MARK JAMES D.

"The Effect of AI Technologies on Healthcare Efficiency and Patient Care: A Quantitative Analysis"

Artificial Intelligence in Healthcare: Transforming the Practice of Medicine

(Williams et al., Royal College of Physicians / PMC, 2021)

Artificial intelligence (AI) is a powerful and disruptive area of computer science, with the
potential to fundamentally transform the practice of medicine and the delivery of healthcare. In
this review article, we outline recent breakthroughs in the application of AI in healthcare,
describe a roadmap to building effective, reliable and safe AI systems, and discuss the possible
future direction of AI-augmented healthcare systems. AI can help address workforce shortages
and improve patient access, especially in light of growing global challenges like aging
populations and chronic disease burdens. The integration of multi-modal data (e.g., genomics,
clinical, demographic) and the availability of cloud computing enable scalable, data-driven
insights to optimize care delivery. pmc.ncbi.nlm.nih.gov
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285156/

Generative Artificial Intelligence Use in Healthcare: Opportunities for Clinical Excellence


and Administrative Efficiency

(Bhuyan et al., Journal of Medical Systems, Jan 2025

Generative Artificial Intelligence (Gen AI) has transformative potential in healthcare to enhance
patient care, personalize treatment options, train healthcare professionals, and advance medical
research. This paper examines various clinical and non-clinical applications of Gen AI. In
clinical settings, Gen AI supports the creation of customized treatment plans, generation of
synthetic data, analysis of medical images, nursing workflow management, risk prediction,
pandemic preparedness, and population health management. By automating administrative tasks
such as medical documentation, Gen AI has the potential to reduce clinician burnout, freeing
more time for direct patient care. Moreover, Gen AI may improve surgical outcomes by
providing real-time feedback and automating certain intraoperative tasks. The generation of
synthetic data opens new avenues for model training, enhancing predictive accuracy. These
features drive ongoing improvements in both clinical and operational efficiencies.
pmc.ncbi.nlm.nih.govlink.springer.com

https://link.springer.com/article/10.1007/s10916-024-02136-1

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