Embedding a hiding function in a portable electronic health record for privacy preservation

Area of Science:

• Health Informatics
• Data Security
• Privacy-Preserving Technologies

Background:

• Portable electronic health records (PEHRs) require robust methods for protecting sensitive patient information.
• Existing de-identification and anonymization processes may not be fully compatible with offline PEHR functionalities.
• HIPAA compliance necessitates stringent measures for safeguarding personal health information.

Purpose of the Study:

• To develop and evaluate a novel method for hiding personal identifiers within PEHRs.
• To ensure the feasibility of embedding this hiding function directly into PEHR systems.
• To meet both data confidentiality and patient privacy requirements in compliance with HIPAA.

Main Methods:

• Implementation of a specific hiding function designed to recognize and conceal personal identifiers.
• Focus on techniques that allow the hiding function to operate effectively in an offline mode.
• Integration of the developed hiding function into the PEHR system architecture.

Main Results:

• Demonstrated the practical feasibility of embedding a data hiding function within a PEHR.
• Confirmed that the hiding function can be executed in offline mode.
• The implemented method achieves effects comparable to traditional de-identification or anonymization.

Conclusions:

• Embedding a data hiding function in PEHRs is a practical and effective strategy.
• This approach successfully balances data confidentiality needs with patient privacy requirements.
• The method offers a viable solution for enhancing data security in portable health records.