UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 4 | April 2026

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Published in:

Volume 11 Issue 3
March-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2403670


Registration ID:
534915

Page Number

g510-g515

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Title

AI IN HEALTH CARE MANEGMENT

Abstract

Artificial Intelligence (AI has brought about a change in healthcare management by offering innovative solutions across various domains. The potential of artificial intelligence to drive innovation, enhance productivity, and improve outcomes throughout the entire value chain of healthcare management is immense. It holds great promise in significantly enhancing the value of healthcare management systems. Additionally, AI is being utilized in hospitals for various purposes such as maintaining medical records, designing treatment plans, and providing health support and medication assistance. Artificial Intelligence (AI) has emerged as a transformative force in the field of healthcare management, completely transforming traditional practices and unlocking new possibilities for advancing patient care, operational efficiency, and medical research. This summary provides an overview of the applications, advantages, and challenges associated with the integration of AI in healthcare management. AI technologies comprise a wide range of tools and algorithms, including machine learning, natural language processing, computer vision, and predictive analytics. These technologies enable healthcare organizations to effectively utilize the vast amount of data generated across clinical settings, administrative processes, and patient interactions to gain valuable insights and make informed decisions. In the field of healthcare management, AI facilitates the development of clinical decision support systems that assist healthcare professionals in disease diagnosis, predicting patient outcomes, and recommending personalized treatment approaches. By utilizing machine learning algorithms, patient data, medical imaging, and genetic information can be analyzed to identify patterns, detect abnormalities, and optimize treatment strategies, thereby enhancing the quality and accuracy of patient care.

Key Words

Artificial intelligence, Health care, Machine learning, E-prescriptions.

Cite This Article

"AI IN HEALTH CARE MANEGMENT ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.g510-g515, March-2024, Available :http://www.jetir.org/papers/JETIR2403670.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"AI IN HEALTH CARE MANEGMENT ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppg510-g515, March-2024, Available at : http://www.jetir.org/papers/JETIR2403670.pdf

Publication Details

Published Paper ID: JETIR2403670
Registration ID: 534915
Published In: Volume 11 | Issue 3 | Year March-2024
DOI (Digital Object Identifier):
Page No: g510-g515
Country: AMRAVATI, MAHARASHTRA, India .
Area: Pharmacy
ISSN Number: 2349-5162
Publisher: IJ Publication


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