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Enhancing health care through medical cognitive virtual agents

Authors :
Sushruta Mishra
Pamela Chaudhury
Hrudaya Kumar Tripathy
Kshira Sagar Sahoo
NZ Jhanjhi
Asma Abbas Hassan Elnour
Abdelzahir Abdelmaboud
Source :
Digital Health, Vol 10 (2024)
Publication Year :
2024
Publisher :
SAGE Publishing, 2024.

Abstract

Objective The modern era of cognitive intelligence in clinical space has led to the rise of ‘Medical Cognitive Virtual Agents’ (MCVAs) which are labeled as intelligent virtual assistants interacting with users in a context-sensitive and ambient manner. They aim to augment users' cognitive capabilities thereby helping both patients and medical experts in providing personalized healthcare like remote health tracking, emergency healthcare and robotic diagnosis of critical illness, among others. The objective of this study is to explore the technical aspects of MCVA and their relevance in modern healthcare. Methods In this study, a comprehensive and interpretable analysis of MCVAs are presented and their impacts are discussed. A novel system framework prototype based on artificial intelligence for MCVA is presented. Architectural workflow of potential applications of functionalities of MCVAs are detailed. A novel MCVA relevance survey analysis was undertaken during March-April 2023 at Bhubaneswar, Odisha, India to understand the current position of MCVA in society. Results Outcome of the survey delivered constructive results. Majority of people associated with healthcare showed their inclination towards MCVA. The curiosity for MCVA in Urban zone was more than in rural areas. Also, elderly citizens preferred using MCVA more as compared to youths. Medical decision support emerged as the most preferred application of MCVA. Conclusion The article established and validated the relevance of MCVA in modern healthcare. The study showed that MCVA is likely to grow in future and can prove to be an effective assistance to medical experts in coming days.

Details

Language :
English
ISSN :
20552076
Volume :
10
Database :
Directory of Open Access Journals
Journal :
Digital Health
Publication Type :
Academic Journal
Accession number :
edsdoj.bd6453dadb154ff9838d98efa14d335a
Document Type :
article
Full Text :
https://doi.org/10.1177/20552076241256732