Blockchain-Enabled Data Model for Medical Diagnoses: Supporting Physician Collaboration

In the dynamic healthcare setting, accurate and timely medical diagnoses are crucial. This paper presents a novel hybrid database model optimized for medical applications, facilitating diagnostics by a consortium of physicians. Combining traditional relational databases with blockchain technology, the model ensures a secure, immutable record of medical decisions. Featuring a unique voting algorithm, it allows physicians to collectively validate diagnostic decisions on the blockchain, creating a transparent, tamper-proof data management system. This hybrid approach not only improves the reliability of patient treatment, but also promotes physician collaboration in complex diagnostics. The ongoing work will focus on refining the model and exploring its practical implementation in clinical settings.