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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM62105
Volume:
10 |
4 |
April 2026
Pages:
1-6
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Information Technology
Shree L R Tiwari college of Engineering
Information Technology
Shree L R Tiwari college of Engineering
Information Technology
Shree L R Tiwari college of Engineering
Information Technology
Shree L R Tiwari college of Engineering
Information Technology
Shree L R Tiwari college of Engineering
One major challenge in healthcare today involves managing organ donations effectively. Paper-heavy methods slow things down. Separate data silos across clinics create confusion. Mistakes happen more often than they should. A new approach enters here: MeDiQ – Smart Organ Donation Platform. This tool shifts everything online, replacing outdated steps with digital precision. Registration opens up for both givers and those in need. Medical details stay protected using modern safeguards. Appointments line up without back-and-forth delays. Everyone involved sees changes as they occur - patients, doctors, coordinators. At its core runs intelligent pairing logic. Matching considers key health points like tissue compatibility, blood category, how urgent the case is, where people are located. Speed improves. Fairness strengthens. Transparency grows. Efficiency rises without sacrificing safety. Centralized oversight helps hospitals work together better by streamlining how information is shared and protected. Thanks to improved tracking and clearer processes, MeDiQ makes organ donation systems run smoother - boosting trust, speed, and consistency across medical teams. While delays shrink, care quality rises quietly behind the scenes.
KEYWORDS
Starting fresh, the MeDiQ – Smart Organ Donation Platform reshapes how organ donation works - by weaving together artificial intelligence, blockchain, machine learning, and cloud computing into one clear, protected system. Instead of relying on outdated methods, it sidesteps slow paperwork, human error, poor timing, and hidden delays common in older models. Because every step runs on verified data, trust grows naturally across participants, cutting manipulation risks while boosting speed. Rather than patching broken parts, the design rebuilds fairness from the ground up through automation and unchangeable records. With live updates built in, responsibility becomes visible at each stage, turning complexity into something simpler, safer, more reliable. Because it uses artificial intelligence along with machine learning, MeDiQ studies past donation records to forecast organ needs while evaluating how well donors match recipients. Thanks to predictive models, doctors gain insights that support timely choices, reducing discarded organs and raising chances of successful transplants. With blockchain included, information stays accurate, unchangeable, and confirmed across multiple points, removing risks of tampering or illegal trade. From the moment someone registers as a donor until an organ is transplanted, each step gets recorded safely - visible, trackable, checked - and builds confidence through openness. Now imagine a system that grows easily because it uses cloud technology, supporting teamwork between hospitals, organ donation centers, and public authorities. Built alongside live data displays, the setup makes tracking organ movement, checking ethics rules, and measuring results happen without delays. With interfaces shaped around users and smart tools handling routine tasks, doctors spend less time filling forms. Attention shifts where it matters - toward choices that affect patient outcomes directly
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Publication Date
5/2/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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