Abstract: A privacy-preserving analysis system that provides functionality to analyze disparate data sets (and identify correlations) while making individual re-identification prohibitively difficult (even through repeated analysis). The system creates a large proxy data set by oversampling the underlying data and randomly masking a predictable number of fields in the proxy data sets to create sufficient uncertainty in the analysis results. The system may also use a distributed encryption process, secure communications, and secure multiparty computing to prevent personally-identifying information in remotely-stored underlying data from being determined. In the distributed encryption process, each of a plurality of distributed computing devices may be configured to encrypt personally-identifying information using an identical process (and identical encryption keys).

Abstract: A privacy-preserving analysis system that provides functionality to analyze disparate data sets (and identify correlations) while making individual re-identification prohibitively difficult (even through repeated analysis). The system creates a large proxy data set by oversampling the underlying data and randomly masking a predictable number of fields in the proxy data sets to create sufficient uncertainty in the analysis results. The system may also use a distributed encryption process, secure communications, and secure multiparty computing to prevent personally-identifying information in remotely-stored underlying data from being determined. In the distributed encryption process, each of a plurality of distributed computing devices may be configured to encrypt personally-identifying information using an identical process (and identical encryption keys).

Abstract: A system includes a database with at least one dataset with at least one data field corresponding to at least one field of data of a medical claim form, a computing platform in communication with the database, and a memory module. The at least one dataset is formed from de-identified provider information. The memory module contains at least one conversion table for converting between a provider identification code and a corresponding provider name. The computing platform receives a request for information, extracts from the database one or more datasets having information responsive to the request, and forms an output table based on the extracted one or more datasets. The table includes the provider name.

Abstract: A system for protecting and de-identifying healthcare data includes a storage device for storing the healthcare data and personally identifiable information for a person and a processor in communication with the database. The processor generates an anonymous linking code using a keyed hash function and a second hash function. The anonymous linking code is based at least in part on a portion of the personally identifiable information. The processor further appends the anonymous linking code to the healthcare data for the person.

Abstract: The present invention relates to a method and a system for collecting and providing reports of activities of medical service providers, while encrypting confidential information. Specifically, the present invention provides systems and methods for collecting and providing information from medical claim transactions without information for specifically identifying the particular medical service provider. The present invention also allows for correlation of medical claim transactions with providers' information without using information that can be used to specifically identify the particular medical service provider (provider identifier).

Abstract: A system for providing geographic prescription data includes an input device, a presentation device, at least one database for storing electronic claims data and a computing platform in communication with the input device, the presentation device, and the at least one database. The input device receives user selections for at least one a portion of a region, a pharmaceutical, a category of pharmaceuticals, and a group of patients. The presentation device presents a report to the user comparing information about the selected portion of the region to another portion of the region.

Abstract: The present invention relates to a method and a system for collecting and providing reports of activities of medical service providers, while encrypting confidential information. Specifically, the present invention provides systems and methods for collecting and providing information from medical claim transactions without information for specifically identifying the particular medical service provider. The present invention also allows for correlation of medical claim transactions with providers' information without using information that can be used to specifically identify the particular medical service provider (provider identifier).

Abstract: A system includes a database with at least one dataset with at least one data field corresponding to at least one field of data of a medical claim form, a computing platform in communication with the database, and a memory module. The at least one dataset is formed from de-identified provider information. The memory module contains at least one conversion table for converting between a provider identification code and a corresponding provider name. The computing platform receives a request for information, extracts from the database one or more datasets having information responsive to the request, and forms an output table based on the extracted one or more datasets. The table includes the provider name.

Abstract: A system for protecting and de-identifying healthcare data includes a storage device for storing the healthcare data and personally identifiable information for a person and a processor in communication with the database. The processor generates an anonymous linking code using a keyed hash function and a second hash function. The anonymous linking code is based at least in part on a portion of the personally identifiable information. The processor further appends the anonymous linking code to the healthcare data for the person.