24/7 Healthcare Services with AI-Powered Virtual Assistants: An Update
Abstract
Abstract:
The use of Artificial Intelligence (AI) to power virtual assistants in the medical field is examined in depth in this article. Computer programs that employ natural language processing and machine learning techniques are referred to as AI-powered virtual assistants. These programs are designed to communicate with patients, provide assistance to healthcare professionals, enhance patient outcomes. In addition to providing instances of how virtual assistants are being used in India and other countries, the article examines the article analyzes the advantages and limits of using virtual assistants in the healthcare industry. Access to healthcare services around the clock, improvements in patient outcomes, lower overall healthcare expenditures are some of the advantages provided by these virtual assistants. There are, however, certain issues about the accuracy of diagnoses given by these virtual assistants as well as the safety of patient data. In spite of these drawbacks, AI-powered virtual assistants are becoming more widespread in healthcare settings, it is anticipated that their use will continue to expand as technology continues to advance.
How to cite this article:
Kaur M, Sharma R, Bansal N. 24/7 Healthcare Services with AI-Powered Virtual Assistants: An Update. J Adv Res Embed Sys 2023; 10(1): 6-9.
References
1.Govindan K. How artificial intelligence drives sustainable frugal innovation: A multitheoretical perspective. IEEE Transactions on Engineering Management 2022.
2.Tsang YP, Lee CKM. Artificial intelligence in industrial design: A semi-automated literature survey. Engineering Applications of Artificial Intelligence, 112, 104884.
3.Akhai S. From Black Boxes to Transparent Machines: The Quest for Explainable AI. Available at: Social Science Research Network, (http://dx.doi.org/10.2139/ssrn.4390887) 2022.
4.Javaid M, Haleem A, Singh RP, & Suman, R. Artificialintelligence applications for industry 4.0: A literaturebasedstudy. Journal of Industrial Integration andManagement 2022; 7(01): 83-111.
5. Yew AN, Schraagen M, Otte, W. Mvan Diessen, E. Transforming epilepsy research: A systematic review on natural language processing applications. Epilepsia, 2023; 64(2): 292-305.
6. Undru TR, Utkarsha UDAY, Lakshmi JT et al. Integrating Artificial Intelligence for Clinical and Laboratory
Diagnosis–a Review. Maedica, 17(2), 420.
7. López-Úbeda, P., Martín-Noguerol, T., Aneiros- Fernández, J., & Luna, A. (2022). Natural LanguageProcessing in Pathology: Current Trends and Future Insights. The American Journal of Pathology.
8. Feng J, Phillips RV, Malenica 22 Clinical artificial intelligence quality improvement: towards continual
monitoring and updating of AI algorithms in healthcare. npj Digital Medicine 2021; 5(1): 66.
9. Quazi S. 2022). Artificial intelligence and machine learning in precision and genomic medicine. Medical
Oncology, 39(8), 120.
10. Rivera SC, Liu X, Hughes SE et al., Dunster, H., Manna, E., Denniston, A. K., & Calvert, M. J. (2023). Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies. The Lancet Digital Health, 5(3), e168-e173.
11. Randhawa, S. (2023). Home Healthcare. Health.
12. Jain, S. (2023). Telemedicine: An innovation growing indispensable. In Digital Marketing Outreach (pp. 157-
169). Routledge India.
13. Ponraj P, Suganthy S. Health Care Sector–A Critical Review: A Study With Special Reference To Problems
And Prospects. Clear International Journal Of Research In Commerce & Management, 12(6) 2021.
14. mfine. (nd). Online Doctor Consultation | Book Instant Video Consultations | mfine. Retrieved April
16 2023. from https://www.mfine.co/online-doctorconsultation/
15. Practo. (n.d.). Practo: Book Doctor Appointments Online, Order Medicine, Diagnostic Tests, Consult Doctor
Online, Health Tips. Retrieved April 16, 2023, from https://www.practo.com/?utm_source=google&utm_
medium=cpc&utm_campaign=brand-search-practo-co nsult&sem=true&gclid=CjwKCAjwue6hBhBVEiwA9YT
x8FPpMdVXmovUe8X492h4s5SSWSp5CUmvxdsN0DO DOS8nNPrOGkSJ3xoCJZYQAvD_B
16. CallHealth. (n.d.). Home healthcare services in India.Retrieved April 16, 2023, from https://www.callhealth.
com/
17. Portea nd. Home healthcare services. Retrieved April 16, 2023, from https://www.portea.com/
18. Lai Y, Lioliou E, Panagiotopoulos P. Understanding Users’ switching Intention to AI-Powered Healthcare
Chatbots. In ECIS 2021.
19. Vanathi J, SriPradha G. Break The Chain: A Proposed AI powered Mobile Application Framework to handle
COVID-19 Pandemic. Alochana Chakra Journal, 9, 108-
114.
20. Ragavi V, Sheela AS, Kannaiyan et all. ct of Artificial Intelligence in the field of Health Care. In Journal
of Physics: Conference Series 1831; 1 012006). IOP Publishing.
21. Shaheen MY. Applications of Artificial Intelligence (AI) in healthcare: A review. ScienceOpen Preprints.
22. Chen M, Decary M. Artificial intelligence in healthcare: An essential guide for health leaders. In Healthcare
management forum 33(1): 10-18. Sage CA: Los Angeles,
CA: SAGE Publications.
23. Hazarika I. Artificial intelligence: opportunities and implications for the health workforce. International
health 2020; 12(4): 241-245.
24. Amri MM, Kumar V, Khattak WA. Personalized Healthcare in the Age of AI: A Comprehensive Overview
of its Applications and Limitations. International Journal of Intelligent Automation and Computing 2021; 4(1):
20-34.
25. Sadiku MN, Fagbohungbe OI, Musa SM. Artificial Intelligence in Healthcare: An Overview. International
Journal of Engineering Research and Advanced Technology (IJERAT) 2020; 6(12): 38-45.