Generating unique IDs from patient identification data using security models.

Area of Science:

• Health Informatics
• Cryptography
• Data Security

Background:

• Electronic Health Records (EHRs) are increasingly adopted globally.
• EHRs improve patient safety and data access but pose security challenges.
• Encrypting patient data for sharing is a critical concern in health information technology.

Purpose of the Study:

• To present a method for encrypting electronic medical data using hashing algorithms.
• To demonstrate the application of MD5 and SHA-1 for securing patient information.
• To facilitate secure data sharing in healthcare systems.

Main Methods:

• Utilized Message Digest-5 (MD5) and Secure Hashing Algorithm (SHA) for encryption.
• Applied MD5 and SHA-1 algorithms to encrypt composite messages from patient data.
• Developed a software tool for data encryption and sharing.

Main Results:

• A composite message approach creates unique, one-way encrypted IDs for patient records.
• The encryption method enables secure data sharing.
• The system generates a distinct encrypted identifier for each patient record.

Conclusions:

• The developed software tool enables secure sharing of Electronic Medical Records (EMRs).
• Patient-identifiable data is protected during EMR sharing between practitioners.
• The method addresses the challenge of information security in EHR systems.