Page 144 - 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

Online Availability for Medical Emergencies:
Challenges, Opportunities and Future Directions

2
1
Palak Chauhan , Mangesh Agone , Prof. Usha Kosarkar
3
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 divide exacerbates inequalities in access to the technology
Online platforms for the management of daily health and that disadvantages vulnerable communities. This paper will
emergency services have gained increased attention over explore some trends of online health and emergency systems
the past few years. Such platforms need faster access to that are evolving into such systems of integration:
services and tools to achieve fitness and well-being. These integration of emerging technology in wearable devices, AI,
systems exploit techniques like telemedicine, AI, wearable and telemedicine.
devices, and cloud-based infrastructures to develop a real-
time support environment in which these systems can
provide preventive health advice. However, data security
and integrity, system scalability, and fair access will remain
challenges. This paper presents the main challenges and
opportunities that the online systems present to health and
emergency management, presenting a framework for
improvement of systems capturing, processing, and salting
decision-making phases. The metrics performance
evaluation states system effectiveness and future directions
toward innovation.

KEYWORDS: telemedicine, artificial intelligence, wearable
devices, health monitoring, emergency response, daily fitness

I. INTRODUCTION
The growing awareness in health management and the
escalation in medical emergencies have brought forth the
urgent need for better and timely healthcare solutions. Often
faced with serious limitations, traditional systems have II. Related Work:
provided slow responses to genuine medical concerns, Where we use technology for daily disease management and
shortages of resources in the periphery, and inefficiency in emergencies, that has been a research focus. Several
the promotion of preventive care, which have fuelled the attempts have been made to study the remote consultations
introduction of online systems that will provide solutions to brought about by telemedicine to decrease patient loads in
emergencies as well as help in an individual's maintenance of hospitals and ensure timely access to expertise. During
daily health and fitness. Online platforms for health and COVID-19, such platforms were deemed especially helpful by
emergency management apply modern technology in allowing healthcare specialists to manage patients with
addressing the missing gaps in healthcare delivery. chronic conditions, postoperative care, and isolation/disease
Personalized exercise plans and nutrition advice allow monitoring. AI and machine learning have multiplied rate
individuals to remain physically fit while managing chronic growth and birth processes in daily health management and
illnesses. The pandemic was a huge realization of why such emergency care. Some decision-support systems based on AI
systems are important. Many overwhelmed health facilities have emerged to prioritize patients for treatment via the
turned to telemedicine platforms for the management of severity of their conditions.
patient care, while wearable devices were used mostly in the
monitoring of patients in isolation. AI-based systems showed Meanwhile, machine learning algorithms have highly
their usefulness through triage of patients, predicting disease accurately characterized medical data. Several studies have
progression, and prescribing treatment modalities in order disclosed that CNNs have shown success in diagnosing
to enhance the efficiency of both emergency response and diseases from examinations, including lung infection, brain
daily health measures. Their significance radiates all the tumour, and fracture. Machine learning involves predictive
more in rural and underserved regions where access to analytics and is used to tackle and monitor chronic
immediate healthcare and wellness resources remains very conditions so that patients can take proactive rather than
limited. Moreover, the impediments to their widespread reactive measures. With IoT and wearables reshaping health
adoption include data security, the scalability of the system, monitoring, users can now get real-time assessments of their
and a lack of agreed-upon protocols. Additionally, the digital physiological states. Fitness trackers, glucose monitors, and

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