Page 139 - 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

E-Health Solutions for Medical Emergencies:
A Framework for Accessibility and Efficiency

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Anjali Patalbansi , Pranav Rathod , Prof. Usha Kosarkar
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 the patie-nts. By becoming a connection betwe-en doctors &
The convergence of technology and healthcare has paved healthcare staff and patie-nts, its major benefits are
the way for transformative solutions addressing both acce-ssibility to medical services and quickne-ss during the
emergency medical needs and daily health management. entire proce-ss of health care. This project re-flects the
However, traditional systems often struggle with delays, customization and growth objective-s as it goes out of the
inefficiencies, and a lack of personalized care. This paper box in transforming conventional he-alth care scenarios.
proposes an AI-powered e-health platform designed to
The focus of the- traditional health services is on manual
cater to diverse health needs: real-time assistance during
diagnosis that has be-en quite ineffe-ctive in some cases.
medical emergencies, guidance for maintaining fitness, and
Me-dication and health practice directions are- generalized
daily health monitoring. The platform integrates machine
and hardly conce-ntrate on special nee-ds of patients. This
learning (ML) with a Flask-based architecture, allowing for
new system is patie-nt-centric and has a scalability potential
real-time symptom analysis, automated triage, and tailored
accordance with the- health conditions of the people-. The
recommendations. It provides actionable insights such as
proposed platform provided in this work is re-alized based
diet plans, medications, workout routines, and precautions.
on personalization conce-rns and is expected to re-sult in a
This dual-purpose framework serves as a preventive tool
Healthcare revolution.
for fitness enthusiasts and a life-saving assistant during
emergencies. Its accessibility and user-centric design make II. RELATED WORK:
it a robust solution for empowering individuals to take The growth of AI and machine learning has made a lot of
control of their health, ensuring optimal well-being in every innovative progress and that is what opened the corridors
condition. for inventive healthcare solutions as follows:

Emergency Response:
KEYWORDS: Artificial Intelligence, Flask, Machine Learning, AI driven Triage System is used for basic medical emergency
Healthcare, Personalized Assistance, Symptom Analysis, telemedicine symptoms related to emergency problems
Emergency Response brought through high accuracy within the emergency triage
system. An example of this is that the Sultan's developed a
I. INTRODUCTION CNN-based framework to detect brain tumor in usefulness
Accessibility to instant personalized healthcare is one of the for high diagnostic .
biggest hurdles in the- entire world, in this era. Hospitals
are- always overcrowded, waiting hours are quite- long, the But said system had implications in so far as field use is
concerned, in that such a system was field-limited and was
instructions of health expe-rts are completely uncle-ar, and
there is hardly any personal manage-ment of well-being. barred from benefiting from such utility by individuals
outside the healthcare settings
The- issue becomes more- obvious in barely created re-gions
where the le-vel of services provide-d by physicians is Health Daily Monitoring:
extremely low. It is difficult for patie-nts to access reliable A wellness app for health generally makes use of some
facilitie-s with utmost efficiency and accessibility. Howe-ver, machine learning algorithms and recommends some diet and
this current leve-l is set to rise with the re-cent use of AI training schedules. These apps somehow have dedicated
technologie-s, as they not only assist in increasing policy fitness aspects towards individuals that are called fitness
efficacy but will re-volutionize the way health care- is being lovers but they do not promise emergency relief. Definitely,
undertaken in many place-s of the world. most end up with fails from their output, claiming generic
activities of the individualized nature of the role that can fit
The integration of Artificial Inte-lligence (AI) brings great
hope- of advancing these areas. AI has the- capability to with any condition of their own.
automate the routine proce-sses of health care and diagnosis AI-Based Symptom Checkers:
and make- them more effe-ctive, accurate time-conscious, Systems like Ada and Buoy Health have been termed as an
and fit individual ne-eds. This research work come-s along innovative approach in the analysis of symptoms and offer
with a new AI-based platform that provides re-al-time prompt medical suggestions. They actually work well; the
symptom analysis, triage, as well as some- health only consolations are that their activities are restricted
recommendations. This syste-m is developed using Flask chiefly to just a provision of primary diagnosis, as opposed to
frame-work for the front end and machine le-arning full health guidance-
algorithms for analysis, diagnosis, and prediction concerning

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