FaceMed
FaceMed is an innovative web application designed to assist healthcare professionals in emergency situations by providing access to a patient’s medical history through AI based facial recognition
Created on 19th October 2024
•
FaceMed
FaceMed is an innovative web application designed to assist healthcare professionals in emergency situations by providing access to a patient’s medical history through AI based facial recognition
The problem FaceMed solves
In emergency medical situations, healthcare providers often face critical delays due to a lack of patient information, leading to incorrect or delayed treatments that can endanger lives. Traditional identification methods, such as physical IDs or verbal communication, fail when patients are unconscious, severely injured, or unable to speak. Fragmented healthcare systems make it difficult to quickly access medical histories, further complicating emergency care.
How FaceMed Helps:
Instant Access to Medical Histories: FaceMed uses facial recognition and fingerprint backup to instantly identify patients, giving healthcare providers immediate access to essential medical data like allergies, conditions, and medications. This ensures accurate and timely treatment.
Improved Data Security: By utilizing blockchain technology, FaceMed offers a secure, tamper-proof way to store and share medical data, safeguarding patient privacy and reducing the risk of medical errors due to incorrect or outdated information.
Seamless Identification for All: FaceMed simplifies the identification process, especially in emergencies, making it easier for first responders and medical teams to quickly obtain critical health data, saving time and lives.
Enhanced Patient Privacy: Users are rewarded with decentralized tokens for managing their data, encouraging privacy and offering greater control over personal health records.
FaceMed makes accessing and sharing medical histories faster, safer, and more efficient, transforming emergency healthcare outcomes and protecting patient privacy.
Challenges I ran into
I initially had some problems integrating blockchain into it but yes, further it was all sorted out. Also working with the GenAI, was bit complex but i did it.
Tracks Applied (3)
Polygon Track
Polygon
Ethereum Track
ETHIndia
AI/ML
Flatlogic
Technologies used