Paper Title

CLOUD COMPUTING IN MEDICAL FIELD

Article Identifiers

Registration ID: IJNRD_189319

Published ID: IJNRD2303358

DOI: Click Here to Get

Authors

Devika Shaji , Ditto Joseph , Gautham Kishore , Christopher Mathew

Keywords

Cloud computing, Healthcare, Data storage, Analytics, Artificial intelligence, Machine learning, Internet of Things, Patient outcomes, Cost-effectiveness

Abstract

The adoption of cloud computing technology in healthcare has revolutionized the healthcare industry. Cloud based healthcare services have shown significant improvements in healthcare delivery, patient outcomes, and cost-effectiveness. This paper presents a comprehensive review of the use of cloud in healthcare. The paper discusses the key benefits and challenges of cloud computing in healthcare, the role of cloud-based systems in healthcare data storage, the importance of cloud-based healthcare analytics, and the implementation of cloud computing in healthcare. The paper also examines the current and future trends in cloud computing in healthcare, including the use of artificial intelligence and machine learning, and the potential of the Internet of Things in healthcare. The findings indicate that cloud computing technology has the potential to transform the healthcare industry by enabling more efficient and effective healthcare delivery, improving patient outcomes, and reducing costs. The study suggests that healthcare organizations should embrace cloud computing technology to leverage its full potential and deliver high-quality care to patients.

How To Cite

"CLOUD COMPUTING IN MEDICAL FIELD", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.d441-d447, March-2023, Available :https://ijnrd.org/papers/IJNRD2303358.pdf

Issue

Volume 8 Issue 3, March-2023

Pages : d441-d447

Other Publication Details

Paper Reg. ID: IJNRD_189319

Published Paper Id: IJNRD2303358

Downloads: 000121175

Research Area: Computer Science & Technology 

Country: Alappuzha, Kerala, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2303358.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2303358

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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How to submit the paper?

Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area