Embedded systems and human collaboration in healthcare: Revolutionizing patient care

This article examines the transformative impact of embedded systems and human collaboration in healthcare delivery. It explores how this technological-human partnership is revolutionizing patient care across multiple domains, including surgical assistance, rehabilitation support, patient care automation, and remote monitoring. The integration of embedded systems with artificial intelligence has enhanced diagnostic capabilities through medical imaging analysis, predictive analytics, and laboratory diagnostics. The article further highlights how these technologies provide crucial support for elderly and disabled individuals through assistive robots, smart home integration, and cognitive assistance devices. This collaboration addresses critical healthcare challenges such as workforce shortages, increasing healthcare demand, and accessibility barriers. Looking toward the future, emerging technologies including advanced biosensors, edge computing, improved natural language processing, and virtual/augmented reality applications will further strengthen this partnership, ultimately improving healthcare efficiency, accessibility, and patient outcomes.

Authors

Publication Details

Journal
World Journal of Advanced Engineering Technology and Sciences
Published
2025-06-17
DOI
https://doi.org/10.30574/wjaets.2025.15.3.1077
Primary Topic
Information Systems Theories and Implementation
Type
article
Field-Weighted Citation Impact
0.00
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article

Embedded systems and human collaboration in healthcare: Revolutionizing patient care

Sushma Shankar
World Journal of Advanced Engineering Technology and Sciences
Information Systems Theories and Implementation
article

Embedded systems and human collaboration in healthcare: Revolutionizing patient care

Sushma Shankar
article en

Abstract

This article examines the transformative impact of embedded systems and human collaboration in healthcare delivery. It explores how this technological-human partnership is revolutionizing patient care across multiple domains, including surgical assistance, rehabilitation support, patient care automation, and remote monitoring. The integration of embedded systems with artificial intelligence has enhanced diagnostic capabilities through medical imaging analysis, predictive analytics, and laboratory diagnostics. The article further highlights how these technologies provide crucial support for elderly and disabled individuals through assistive robots, smart home integration, and cognitive assistance devices. This collaboration addresses critical healthcare challenges such as workforce shortages, increasing healthcare demand, and accessibility barriers. Looking toward the future, emerging technologies including advanced biosensors, edge computing, improved natural language processing, and virtual/augmented reality applications will further strengthen this partnership, ultimately improving healthcare efficiency, accessibility, and patient outcomes.

World Journal of Advanced Engineering Technology and SciencesVol. 15(3)
Openalex Percentile: Top 81%
Information Systems Theories and Implementation
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