Apple Inc.

Mark E Pennell

Jorge Fernando Pozas Trevino

Kevin M Lynch

Sean Robert Moore

Sangeeth Sridharan

Zhe Li

Jason B Morley

Christian Schroeder

David W Padgett

Sami Shaio

Todd D Power

John P Clark

Jeffrey D LaMarche

Brian A Carlsen

Pablo Antonio Gonzalez Cervantes

Mohan Singh Randhava

Eric K Kimn

A user device can be used to generate medical term expressions, which represent medical terms of a health record. The user device can identify a medical concept present in the health record based on a medical term expression. The user device can generate a node in a personalized relational graph that corresponds to the medical concept. One or more sub-nodes can be added to the node. Responsive to a request, a user interface is presented that identifies the medical concept and some of the additional information.

Techniques for anonymized searching of medical providers

A term base can be used to index a raw medical term (e.g., a text string from an electronic health record) to generate a computational expression of the raw medical term. The computational expression of the raw medical term can be used to generate a uniform medical term for the raw medical term. The computational expression can be compared with other computational expressions to organize the electronic health record, filter the electronic health record, and provide a uniform presentation of raw medical terms from different events in the electronic health record.

Normalization of medical terms

A server may maintain information about entities such as medical entities. A user device can send search queries to the server to obtain information about a particular medical entity. The server and/or the user device may maintain information relating to the particular medical entity in a manner that a relationship between the particular medical entity and the user device can be obfuscated from the server. By doing so, privacy of a user of the user device can be protected.

Information about a medical provider's locations, brands, and gateways can be received (e.g., via an online portal). This information can be used to generate a data object that represents relationships between the locations, the brands, and the gateways. This data object can be maintained in a database base that is searchable by a user device. For example, a user of the user device may search the database to identify a medical provider where the user obtains care. Once identified, other systems can be used to connect the user device to a gateway associated with the medical provider in order to download electronic health record data associated with the user.

Techniques for building medical provider databases

Prior to connecting to a gateway associated with an electronic health record system, a user device can check in with a server. The server can send configuration information useable by the user device for connecting to the gateway for downloading medical record data. The configuration information may include an update value that is useable by the user device to determine a time frame for contacting the gateway. In some examples, the user device determines when to contact the gateway without using the update value.

Techniques for managing access of user devices to third-party resources

A term base can be used to index a raw term (e.g., a text string from an electronic health record) to generate a computational expression of the raw term. As part of doing so, portions of the raw term including personally identifying information can be removed and/or replaced with de-identified information. The computational expression of the raw term can be used to generate a version of the raw term that is devoid of the personally identifying information.

Index-based deidentification

A server may maintain information about entities such as medical entities. A user device can send search queries to the server to obtain information about a particular medical entity. Using techniques described herein, the server and/or the user device may maintain information relating to the particular medical entity in a manner that a relationship between the particular medical entity and the user device can be obfuscated from the server. By doing so, privacy of a user of the user device can be protected.

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Redwood City, CA, United States of America

Mark E Pennell