A secured compression technique based on encoding for sharing electronic patient data in slow-speed networks

Area of Science:

• Computer Science
• Medical Informatics
• Data Security

Background:

• Healthcare systems generate vast amounts of patient data, increasing concerns over secure and efficient remote data transfer.
• Transmitting large volumes of sensitive patient information over networks without compression leads to high latency and potential security vulnerabilities.
• Existing watermarking techniques primarily focus on medical images, leaving a gap in securing textual patient data.

Purpose of the Study:

• To propose a novel secured compression technique specifically designed for live patient text data.
• To address the challenges of high latency and data integrity issues in remote data sharing over bandwidth-deficient channels.
• To develop a method that ensures data authentication and integrity for textual health records.

Main Methods:

• Development of a secured compression algorithm tailored for live patient text data.
• Integration of watermarking principles to ensure data authentication and integrity.
• Testing the proposed technique using real-world patient data for remote sharing scenarios.

Main Results:

• The proposed secured compression technique demonstrates superior performance compared to existing compression methods.
• The system effectively ensures data integrity and authentication for transmitted patient text data.
• The technique is robust for use in bandwidth-deficient communication channels.

Conclusions:

• The developed secured compression technique offers an efficient and reliable solution for sharing live patient text data remotely.
• This approach enhances the security and integrity of sensitive health information during transmission.
• The findings suggest a promising new direction for securing textual data in healthcare informatics.