PROSPECT OF USING AI- INTEGRATED SMART MEDICAL TEXTILES FOR REAL-TIME VITAL SIGNS MONITORING IN HOSPITAL MANAGEMENT & HEALTHCARE INDUSTRY

This study explores the prospect of using AI-integrated smart medical textiles for real-time vital signs monitoring in hospital management and the broader healthcare industry. Smart textiles, which embed biosensors and conductive materials within wearable fabrics, have evolved from experimental prototypes into clinically relevant tools capable of continuously tracking physiological parameters such as cardiac activity, respiratory function, body temperature, oxygen saturation, blood flow, and muscle activity. The integration of artificial intelligence enables advanced signal processing, artifact suppression, predictive modeling, and real-time classification of health events, thereby transforming raw data into actionable clinical insights. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a total of 152 peer-reviewed articles were systematically reviewed, collectively cited more than fifteen thousand times, ensuring a comprehensive synthesis of technological, clinical, operational, and regulatory perspectives. The findings revealed that AI-enhanced smart textiles deliver accuracy comparable to conventional monitoring devices while offering advantages in comfort, mobility, and continuous data capture. Hospitals implementing these systems reported operational benefits such as reduced nurse workload, improved alarm management, and expanded monitoring coverage, alongside clinical gains including earlier detection of patient deterioration, reductions in adverse events, shortened lengths of stay, and decreased readmissions. International case studies highlighted adoption across Europe, North America, and Asia-Pacific, while regulatory discussions underscored the importance of compliance with FDA, EMA, ISO, and IEC standards for successful deployment. Beyond inpatient care, the review identified applications in rehabilitation, chronic disease management, maternal and neonatal monitoring, occupational health, and telehealth integration, illustrating the adaptability of these technologies across healthcare contexts. Overall, the synthesis demonstrates that AI-integrated smart medical textiles represent a transformative innovation, offering both clinical and operational value, with strong potential to reshape hospital management and support the global transition toward more patient-centered, data-driven healthcare systems.

Authors

Institutions

Publication Details

Journal
American Journal of Advanced Technology and Engineering Solutions
Published
2024-09-01
DOI
https://doi.org/10.63125/d0zkrx67
Citations
2
Primary Topic
Healthcare Systems and Public Health
Type
article
Field-Weighted Citation Impact
0.77
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PROSPECT OF USING AI- INTEGRATED SMART MEDICAL TEXTILES FOR REAL-TIME VITAL SIGNS MONITORING IN HOSPITAL MANAGEMENT & HEALTHCARE INDUSTRY

Md Rezaul Karim, Md Takbir Hossen Sarker
2 citations
American Journal of Advanced Technology and Engineering Solutions
Healthcare Systems and Public Health
0.77
article

PROSPECT OF USING AI- INTEGRATED SMART MEDICAL TEXTILES FOR REAL-TIME VITAL SIGNS MONITORING IN HOSPITAL MANAGEMENT & HEALTHCARE INDUSTRY

Md Rezaul Karim, Md Takbir Hossen Sarker
article en
2 citations

Abstract

This study explores the prospect of using AI-integrated smart medical textiles for real-time vital signs monitoring in hospital management and the broader healthcare industry. Smart textiles, which embed biosensors and conductive materials within wearable fabrics, have evolved from experimental prototypes into clinically relevant tools capable of continuously tracking physiological parameters such as cardiac activity, respiratory function, body temperature, oxygen saturation, blood flow, and muscle activity. The integration of artificial intelligence enables advanced signal processing, artifact suppression, predictive modeling, and real-time classification of health events, thereby transforming raw data into actionable clinical insights. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a total of 152 peer-reviewed articles were systematically reviewed, collectively cited more than fifteen thousand times, ensuring a comprehensive synthesis of technological, clinical, operational, and regulatory perspectives. The findings revealed that AI-enhanced smart textiles deliver accuracy comparable to conventional monitoring devices while offering advantages in comfort, mobility, and continuous data capture. Hospitals implementing these systems reported operational benefits such as reduced nurse workload, improved alarm management, and expanded monitoring coverage, alongside clinical gains including earlier detection of patient deterioration, reductions in adverse events, shortened lengths of stay, and decreased readmissions. International case studies highlighted adoption across Europe, North America, and Asia-Pacific, while regulatory discussions underscored the importance of compliance with FDA, EMA, ISO, and IEC standards for successful deployment. Beyond inpatient care, the review identified applications in rehabilitation, chronic disease management, maternal and neonatal monitoring, occupational health, and telehealth integration, illustrating the adaptability of these technologies across healthcare contexts. Overall, the synthesis demonstrates that AI-integrated smart medical textiles represent a transformative innovation, offering both clinical and operational value, with strong potential to reshape hospital management and support the global transition toward more patient-centered, data-driven healthcare systems.

American Journal of Advanced Technology and Engineering SolutionsVol. 04(03)
Lamar University (US), Science and Technology Corporation (United States) (US)
Openalex Percentile: Top 23%
Healthcare Systems and Public Health
0.77
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.