Smart MedDB chain—An intelligent approach for data sharing in medical systems

Rapid growth of medical data in both hospitals and healthcare industries has made data handling increasingly challenging. Fast access to relevant medical information in an emergency is essential, but the huge data in databases makes this difficult. The management of data in the public domain is made more difficult by privacy and security concerns, which calls for the creation of a safe data handling system. The primary objective of this research is to propose and implement an intelligent framework, Smart MedDB, for real-time tracking of medical records. The framework highlights privacy and security considerations while addressing the difficulties of managing massive medical databases effectively and providing prompt access to individual patient information. The platform also aims to make e-Token booking with healthcare providers easier and simplify the process of filing health insurance claims. The proposed methodology involves the development and implementation of Smart MedDB, an intelligent framework that employs advanced data handling techniques to ensure quick and secure access to medical records. Patient databases can only be handled or shared by authorized personnel thanks to the integration of authentication measures. Smart MedDB makes use of state-of-the-art protocols and technology to automate the health insurance claim procedure. User experience and system responsiveness are taken into consideration while evaluating the framework’s qualitative capacity to offer rapid and secure access to medical records. The quantity of medical records increased five times, and then the responsiveness and bandwidth of the present medical data handling system increased to 60 seconds and 1,200[Formula: see text]KB. However, the proposed system maintains almost the same level throughout the entire operation since it is stream-based. Metrics including data processing speed, security precautions, and retrieval time are quantified and contrasted with current systems. This framework presents an effective way to expedite medical data access by resolving privacy, security, and efficiency concerns. It ensures prompt and safe retrieval during emergencies and automates associated activities for improved healthcare services.

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Publication Details

Journal
Innovation and Emerging Technologies
Published
2025-01-01
DOI
https://doi.org/10.1142/s2737599425400018
Citations
1
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
1.49
Controls
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article

Smart MedDB chain—An intelligent approach for data sharing in medical systems

V Gowrishankar, T. Sathya, M. Parimala Devi, G. Boopathi Raja et al.
1 citations
Innovation and Emerging Technologies
IoT and Edge/Fog Computing
1.49
article

Smart MedDB chain—An intelligent approach for data sharing in medical systems

V Gowrishankar, T. Sathya, M. Parimala Devi, G. Boopathi Raja, Nithya Savarimuthu
article en
1 citations

Abstract

Rapid growth of medical data in both hospitals and healthcare industries has made data handling increasingly challenging. Fast access to relevant medical information in an emergency is essential, but the huge data in databases makes this difficult. The management of data in the public domain is made more difficult by privacy and security concerns, which calls for the creation of a safe data handling system. The primary objective of this research is to propose and implement an intelligent framework, Smart MedDB, for real-time tracking of medical records. The framework highlights privacy and security considerations while addressing the difficulties of managing massive medical databases effectively and providing prompt access to individual patient information. The platform also aims to make e-Token booking with healthcare providers easier and simplify the process of filing health insurance claims. The proposed methodology involves the development and implementation of Smart MedDB, an intelligent framework that employs advanced data handling techniques to ensure quick and secure access to medical records. Patient databases can only be handled or shared by authorized personnel thanks to the integration of authentication measures. Smart MedDB makes use of state-of-the-art protocols and technology to automate the health insurance claim procedure. User experience and system responsiveness are taken into consideration while evaluating the framework’s qualitative capacity to offer rapid and secure access to medical records. The quantity of medical records increased five times, and then the responsiveness and bandwidth of the present medical data handling system increased to 60 seconds and 1,200[Formula: see text]KB. However, the proposed system maintains almost the same level throughout the entire operation since it is stream-based. Metrics including data processing speed, security precautions, and retrieval time are quantified and contrasted with current systems. This framework presents an effective way to expedite medical data access by resolving privacy, security, and efficiency concerns. It ensures prompt and safe retrieval during emergencies and automates associated activities for improved healthcare services.

Innovation and Emerging TechnologiesVol. 12
Saveetha University (IN)
Openalex Percentile: Top 16%
IoT and Edge/Fog Computing
1.49
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