A Proposal of smart hospital management using hybrid Cloud, IoT, ML, and AI

Title

A Proposal of smart hospital management using hybrid Cloud, IoT, ML, and AI

Creator

Kumar J.N.A.; Suresh S.

Description

There has been a rapid shift in the medical industry from the service point of view. More importance is being given to patient care and customer satisfaction than ever before. The need to keep the customers happy with the hospital's service has increased rapidly and one way they can improve a patient's experience, even more is if they integrate cloud, IoT, ML, and AI into their system. This would help the medical sector to achieve customization which would enable them to address the needs of their customers more efficiently and offering personalized solutions. In this paper, we are proposing a novel model which focuses on a smart hospital information management system that runs by using hybrid cloud, IoT, ML, and AI. This system would be beneficial not only from the hospitals perspective but also from the patient's side as well. Patients and doctors unique ID would make the entire process a lot more efficient and easier. The advances happening in the field of AI and ML due to cloud-based computing is extremely beneficial for the medical industry. By integrating these components along with IoT it is possible for multi-specialty hospitals and super specialty hospital to be able to set up a smart hospital information management system. 2019 IEEE.

Source

Proceedings of the 4th International Conference on Communication and Electronics Systems, ICCES 2019, pp. 1082-1085.

Date

2019-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Artificial Intelligence (AI); Hybrid cloud; Internet of things (IoT); machine learning (ML)

Coverage

Kumar J.N.A., Institute of Management, Christ (Deemed to Be University), Bengaluru, India; Suresh S., Institute of Management, Christ (Deemed to Be University), Bengaluru, India

Rights

Restricted Access

Relation

ISBN: 978-172811261-9

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICCES45898.2019.9002098

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