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Enhancing health care through medical cognitive virtual agents

Mishra S 1 , Chaudhury P 2 , Tripathy HK 1 , Sahoo KS 3 , Jhanjhi NZ 4 , Hassan Elnour AA 5 Show all authors , Abdelmaboud A 6

Affiliations 

  • 1 School of Computer Engineering, Kalinga Institute of Industrial Technology, deemed to be University, Bhubaneswar, India
  • 2 Department of Computer Science and Engineering, Silicon Institute of Technology, Bhubaneswar, India
  • 3 Department of Computer Science and Engineering, SRM University, Amaravati, India
  • 4 School of Computer Science, SCS Taylor's University, Subang Jaya, Malaysia
  • 5 Computer Department, Applied College_ Girls Section, King Khalid University, Muhayel Aseer, Saudi Arabia
  • 6 Humanities Research Center, Sultan Qaboos University, Muscat, Oman
Digit Health, 2024;10:20552076241256732.
PMID: 39165388 DOI: 10.1177/20552076241256732

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.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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