Page 136 - Emerging Trends and Innovations in Web-Based Applications and Technologies

International Journal of Trend in Scientific Research and Development (IJTSRD)
Special Issue on Emerging Trends and Innovations in Web-Based Applications and Technologies
Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470

Transforming Healthcare: Developing an Online Platform
for Medical Emergency Response and Assistance

1
Tinu Masirkar , Aachal Bansod , Prof. Usha Kosarkar
3
2
1,2 Department of Computer Science,
1,2 G H Raisoni Institute of Engineering and Technology, Nagpur, Maharashtra, India
3 Department of Science and Technology,
3 G H Raisoni College of Engineering and Management, Nagpur, Maharashtra, India

ABSTRACT overall patient outcomes. However, challenges such as data
The immense progress made in Artificial Intelligence and privacy ethical concerns and model reliability must be
online platforms has dramatically transformed healthcare, addressed for the widespread adoption of AI in healthcare
especially regarding medical emergency response and daily systems. This paper aims to highlight the transformative
health management. AI-based systems give people real-time impact of AI-based online platforms on emergency medical
symptom analysis automated triage and efficient resource response and health management while discussing potential
allocation to ensure timely medical interventions while improvements and future advancements. The future of
assisting people in maintaining general health and well- healthcare is predicted to be highly digitalized with
being. This paper discusses how AI-integrated healthcare increased reliance on AI and Telemedicine improving access,
solutions improve diagnostic accuracy, optimize efficiency and overall patient outcomes. High adoption of
accessibility in healthcare and revolutionize the delivery of Artificial Intelligence in Healthcare Systems has raised
medical care through predictive analytics and IoT enabled significant challenges such as data privacy ethical concerns
monitoring devices. This study is also important in that it and model reliability.
underscores AI as playing a crucial role in emergency
response delay mitigation, proactive health management
and effective patient-provider interaction enhancement. It
also highlighted the challenges and prospects for AI-driven
healthcare solutions redefining modern health care
systems.

KEYWORDS: Artificial intelligence, Machine Learning,
Emergency Medical Response, Healthcare Platforms, Wearable
Devices, Predictive Analytics

I. INTRODUCTION
AI in medical emergencies, machine learning, wearable
devices, predictive analytics for medical emergencies. The
enormity progress made in Artificial Intelligence and online
platforms has dramatically transformed healthcare,
particularly regarding medical emergency response and
daily health management. AI-based platforms provide an
accurate, real time symptom analysis automated triage and
efficient resource allocation to ensure timely medical
interventions while assisting people in maintaining general
health and well-being. This paper describes how AI-
integrated healthcare solutions improve diagnostic accuracy
optimize accessibility in healthcare and revolutionize the
delivery of medical assistance through predictive analytics
and IoT enabled monitoring devices. This study is also
important in that it demonstrates how AI plays a crucial role
for emergency response delay mitigation, proactive health
management and effective patient-provider interaction
enhancement. It also outlined the challenges and prospects
for the future of AI-driven healthcare solutions, redefining

modern health care systems. Wearable health devices further
enhance the effectiveness of these platforms by continuously II. Related Work:
monitoring vital health parameters such as heart rate, Recent studies have widely discussed the role of AI in
oxygen levels and physical activity levels. The future of healthcare, such as emergency response, disease prediction,
healthcare will be highly digitalized with enhanced reliance and personalized treatment recommendations. Some studies
on AI and Telemedicine improving access, efficiency and

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