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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM26547

Optimizing Hospital Services: Implementing Healthcare Supply Chain Management through MERN Stack Web Application

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM26547

Volume:

7 |

11 |

Nov 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

DSPK

Dr. S. P. Khandait

PR

Pritesh Rai

SV

Sakshi Verma

AB

Ankita Bangadkar

SK

Shivraj Kote

AF

Avanti Fating

TP

Tanmay Patil

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Abstract

This paper offers a new approach to hospital service optimization that seamlessly incorporates concepts from healthcare supply chain management. Using the advantages of MERN stack technology, we are developing a dynamic web service that connects hospitals in real time and expedites patient transfers. By addressing the pressing need for efficient supply chain management in the healthcare sector and by offering features like virtual consultations and organ transplant search capabilities, this system enhances patient care and accessibility. By putting this into practice, we intend to improve and elevate the standard for hospital treatment. This paper offers a new approach to hospital service optimization that seamlessly incorporates concepts from healthcare supply chain management.

KEYWORDS

Supply Chain Management Healthcare Service Delivery MERN stack Real-time data processing Patient Transfers Predictive Analytics Patient-Centric Care Efficiency Seamless Coordination Fast Connectivity

Cite This Article

Dr. S. P. Khandait, Pritesh Rai, Sakshi Verma, Ankita Bangadkar, Shivraj Kote, Avanti Fating, Tanmay Patil, "Optimizing Hospital Services: Implementing Healthcare Supply Chain Management through MERN Stack Web Application," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 11, Nov 2023. https://doi.org/10.55041/IJSREM26547

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Publication Date

6/10/2023

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Double-Blind Peer Review

Review Rounds: 2

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5

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