Artificial-intelligence-based cloud computing techniques for patient data management

Akanksha Sharma, Ashish Verma, Rishabha Malviya, Mahendran Sekar

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Otherpeer-review

Abstract

This chapter describes the role of artificial-intelligence-based cloud computing techniques in inpatient data management. The practice of installing a remote server accessed by the internet to manage, store, and process healthcare data is called cloud computing in healthcare. In contrast, setting up an onsite data center or data hosting on a personal computer with servers are both options. The manuscript describes the role of cloud computing research in health management like telemedicine or teleconsultation, patients’ self- management and public health, management of a hospital, therapy, and secondary utilization of data. Cloud computing is a low-cost alternative that helps in storing vast volumes of data; it is also accessible via telehealth which increases the patient experience. However, it has some challenges of security which will get resolved in future and provide more efficient healthcare services.
Original languageEnglish
Title of host publicationArtificial Intelligence for Health 4.0
Subtitle of host publicationChallenges and Applications
EditorsRishabha Malviya, Naveen Chilamkurti, Sonali Sundram, Rajesh Kumar Dhanaraj, Balamurugan Balusamy
Place of PublicationAlsbjergvej Denmark
PublisherRiver Publishers
Chapter6
Pages149-173
Number of pages25
Edition1st
ISBN (Electronic)9781000847017, 9781003373582
ISBN (Print)9788770227841
DOIs
Publication statusPublished - 2023
Externally publishedYes

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