18377478. SECURE STORAGE AND RETRIEVAL OF SENSITIVE INFORMATION simplified abstract (Apple Inc.)

SECURE STORAGE AND RETRIEVAL OF SENSITIVE INFORMATION

Organization Name

Apple Inc.

Inventor(s)

Pablo Antonio Gonzalez Cervantes of San Jose CA (US)

Mohan Singh Randhava of San Carlos CA (US)

Jorge F. Pozas Trevino of Emerald Hills CA (US)

Samuel A. Mussell of Sunnyvale CA (US)

Isaac Pinol Catadau of Union City MA (US)

Steven A. Myers of San Jose CA (US)

Dongsheng Zhang of Mountain View CA (US)

Suhail Ahmad of Palo Alto CA (US)

Zhengjun Jiang of San Jose CA (US)

Yannick L. Sierra of San Francisco CA (US)

Amir H. Jadidi of San Ramon CA (US)

SECURE STORAGE AND RETRIEVAL OF SENSITIVE INFORMATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18377478 titled 'SECURE STORAGE AND RETRIEVAL OF SENSITIVE INFORMATION

Simplified Explanation

The abstract of the patent application describes a technique for storing health data using a multi-node data structure. The data structure consists of a data node, a category node, and an institution node. Each node is generated based on a configuration file. The data node contains health data, encrypted with a cryptographic key, and identified by a unique data identifier. The category node includes the data identifier and key, encrypted with another cryptographic key. The institution node includes the category identifier and key, encrypted with a third cryptographic key. These nodes can be shared with a service provider.

• Techniques for storing health data using a multi-node data structure
• Data node contains health data and is identified by a unique data identifier
• Data node is encrypted using a cryptographic key
• Category node includes the data identifier and key from the data node
• Category node is identified by a second unique data identifier
• Category node is encrypted using a second cryptographic key
• Institution node includes the category identifier and key from the category node
• Institution node is identified by a third unique data identifier
• Institution node is encrypted using a third cryptographic key
• Data node, category node, and institution node can be shared with a service provider

Potential Applications

• Secure storage and sharing of health data
• Healthcare data management systems
• Electronic health records (EHR) systems
• Health information exchange platforms

Problems Solved

• Data security and privacy in storing health data
• Efficient organization and retrieval of health data
• Secure sharing of sensitive health information
• Protection against unauthorized access and data breaches

Benefits

• Enhanced data security through encryption
• Improved data organization and management
• Efficient sharing of health data with service providers
• Protection of patient privacy and confidentiality

Original Abstract Submitted

Techniques for storing health data can include a multi-node data structure. A data node, a category node, and an institution node of a multi-node data structure can be generated in accordance with a configuration file. The data node can include health data and can be identified by a first unique data identifier and encrypted using a first cryptographic key. The category node can include the first unique data identifier and the first cryptographic key. The category node can be identified by a second unique data identifier and encrypted using a second cryptographic key. The institution node can include the second unique data identifier and the second cryptographic key. The institution node can be identified by a third unique data identifier and encrypted using a third cryptographic key. The data node, the category node, and the institution node can be shared with a service provider.