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Generative Artificial Intelligence Use in Healthcare: Opportunities for Clinical Excellence and Administrative
Soumitra S Bhuyan1, Vidyoth Sateesh2, Naya Mukul3
1Edward J. Bloustein School of Planning and Public Policy, Rutgers, The State University of New Jersey, 255, Civic Square Building 33 Livingston Ave #400, New Brunswick, NJ, 08901, USA. Soumitra.bhuyan@rutgers.edu.
Journal of Medical Systems
|January 17, 2025
Summary
Generative Artificial Intelligence (Gen AI) offers significant healthcare advancements, from personalized patient care and medical research to improved operational efficiencies. This technology promises to make healthcare more proactive, predictive, and precise.
Area of Science:
- Healthcare Technology
- Artificial Intelligence in Medicine
- Digital Health
Background:
- Generative Artificial Intelligence (Gen AI) presents a paradigm shift in healthcare.
- Its applications span clinical and non-clinical domains, promising enhanced patient care and operational efficiency.
Purpose of the Study:
- To examine the diverse clinical and non-clinical applications of Gen AI in healthcare.
- To highlight Gen AI's potential to revolutionize medical research, education, and patient treatment.
Main Methods:
- Review of current and emerging Gen AI applications in healthcare settings.
- Analysis of Gen AI's impact on clinical workflows, administrative tasks, and medical research.
Main Results:
- Gen AI facilitates customized treatment plans, synthetic data generation, medical image analysis, and risk prediction.
- Automation of documentation reduces clinician burnout, enhancing direct patient care.
- Applications extend to surgical assistance, medical education, and revenue cycle management.
Conclusions:
- Gen AI is poised to significantly improve clinical and operational efficiencies in healthcare.
- Its continuous learning capability drives proactive, predictive, and precise healthcare delivery.
- Gen AI enhances medical research through synthetic data and improves overall healthcare outcomes.
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