Veeva Systems Inc.

Crossix Solutions Inc.

Asaf Evenhaim

Shahdidul Mihal Ahsan

Lindsey Lofgren

Myrto M Miltiadous

Adam Dubrow

Christopher George Glazner

Bryan Wayne Johnson

Vasile Iulian Ilies

A method for generating an electronic file includes generating a health information request and providing the health information request to one or more covered entity computing systems. The method further includes receiving health information and health care provider (HCP) information associated with multiple HCPs. The method further includes combining the health information with at least a portion of the HCP information to generate combined health information. The method further includes determining multiple digitally projected values based on the combined health information using one or more digital projection models. Each digitally projected value of the plurality of digitally projected values is associated with an HCP of the multiple HCPs. The method further includes generating the electronic file including at least one digitally projected value of the multiple digitally projected values. The method further includes providing the electronic file to a file destination address.

Systems and methods for analyzing longitudinal health information and generating a dynamically structured electronic file

A method for generating a dynamically structured electronic file associated with a defined location. The method includes receiving health information from a covered entity computing system and a file generation request from a user computing device. The method further includes combining HCP information with the health information and determining multiple digitally projected values using at least one digital projection model. The method further includes generating the electronic file including at least one digitally projected value and at least a portion of the HCP location information. The electronic file is generated as the file type identified by the file generation request, and is structured based on at least one of the file generation request or the file destination.

Systems and methods are provided for managing and accessing data using one or more data cloud servers. An exemplary method includes: receiving from one or more data sources, a first data set; stratifying the first data set into first samples; receiving from second one or more data sources, a second data set; stratifying the second data set into second samples; computing a projection factor for each of the second samples using the first samples; computing projected samples using the projection factor for each of the second samples; receiving from third one or more data sources, a third data set; computing a parameter using the third data set; selecting one or more of the projected samples to form a fourth data set; and performing a computer operation for estimating the data using the fourth data set and the parameter.

Method and system for performing data cloud operations

A Double Blinded Privacy-Safe Distributed Data Mining Protocol is disclosed, among an aggregator, a data consumer entity having privacy-sensitive information, and data source entities having privacy-sensitive information. The aggregator does not have access to the privacy-sensitive information at either the data consumer entity or the data source entities. The aggregator formulates a query without using privacy-sensitive information, and sends the query to the data consumer entity. The data consumer entity generates a list of specific instances that meet the conditions of the query and sends the list, encrypted, to the data source entities either directly or through the aggregator. The data source entities match the list against transactional data, de-identify the matched results, and send them to the aggregator. The aggregator combines results from data source entities and sends the combined result to the data consumer entity. This allows for privacy-safe data mining where both the data consumer entity and data source entities have privacy-sensitive information not available for the aggregator to see or use.

Double blinded privacy-safe distributed data mining protocol

Privacy Preserving Data-Mining Protocol, between a secure 'aggregator' and 'sources' having respective access to privacy-sensitive micro-data, the protocol including: the &#x201c;aggregator&#x201d; accepting a user query and transmitting a parameter list for that query to the &#x201c;sources&#x201d; (often including privacy-problematic identifiable specifics to be analyzed); the &#x201c;sources&#x201d; then forming files of privacy-sensitive data-items according to the parameter list and privacy filtering out details particular to less than a predetermined quantity of micro-data-specific data-items; and the &#x201c;aggregator&#x201d; merging the privacy-filtered files into a data-warehouse to formulate a privacy-safe response to the user&#x2014;even though the user may have included privacy-problematic identifiable specifics.

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New York, NY, United States of America

Asaf Evenhaim