The Recent Developments in Biomedical Research for Improving Healthcare

Author:

Sharma Purnima1,Anand Satyajit2ORCID,Sharma Vikrant3

Affiliation:

1. Department of Electronics and Communication, Institute of Engineering and Technology, GLA University, Mathura, India

2. Department of Interdisciplinary Courses in Engineering, Chitkara University, India

3. School of Engineering and Technology, Mody University of Science and Technology, Lakshmangarh, India

Abstract

This chapter presents an analysis of advancements in biomedical research for improving healthcare from bibliometric and thematic views. A literature search was carried out using the documents from the Scopus database. To conduct this study, a total of 145 research articles from 2006 - September 2023 were reviewed. Bibliometrix (R package) and SciMAT tools were used to conduct this review in terms of bibliometric and thematic analysis. The analysis presents results as contributing authors and co-author and their affiliations, leading contributing countries, main relevant sources, frequently used keywords, and major themes. The derived results provide insight into the limitations and scope of collaborative research in the area of digital healthcare utilizing smart technologies. It shows that digital health care using artificial intelligence is a growing area of exploration. In this chapter, the role of artificial intelligence in digital health is also presented. Providing data security and privacy in digital health is found to be challenging and there is a lot of oppertunity for further research is there.

Publisher

IGI Global

Reference35 articles.

1. Predicting medical device failure: A promise to reduce healthcare facilities cost through smart healthcare management.;N. H.Abd Rahman;PeerJ. Computer Science,2023

2. Explainable AI for Event and Anomaly Detection and Classification in Healthcare Monitoring Systems.;M.Abououf;IEEE Internet of Things Journal,2023

3. Explainability for artificial intelligence in healthcare: A multidisciplinary perspective.;J.Amann;BMC Medical Informatics and Decision Making,2020

4. Application of machine learning in 3D bioprinting: Focus on development of big data and digital twin.;J.An;International Journal of Bioprinting,2021

5. Anshari, M., & Almunawar, M. N. (2012). Evaluating CRM implementation in healthcare organization. arXiv preprint arXiv:1204.3689.

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