Apple Inc.

David W Padgett

Kevin M Lynch

Thomas G Salter

Ioana Negoita

Jason B Morley

Zhe Li

Christian Schroeder

Paul Ewers

Mark E Pennell

Dhruv Aditya Govil

Christopher D Fu

Scott G Wade

Dimitris Ladopoulos

Jorge Fernando Pozas Trevino

Brian A Carlsen

John P Clark

Jeffrey D LaMarche

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 method includes obtaining an image of a machine-readable data representation that is located on a physical object using a camera of an electronic device. The machine-readable data representation includes an encoded form of a data value. The method further includes decoding the machine-readable data representation to determine the data value, whereby the data value includes a content identifier and a content source identifier. The method also includes selecting a content source based on the content source identifier, obtaining a content item and content location information based on the content identifier from the content source, determining a content position and a content orientation for the content item relative to the physical object based on the content location information, and displaying a representation of the content item using the electronic device according to the content position and the content orientation.

Locating content in an environment

A method includes determining a device location of an electronic device, transmitting a request to a content source, the request including the device location of the electronic device, and receiving, from the content source in response to the request, a content item that is associated with display location information that describes a content position for the content item relative to a physical environment. The content item is selected by the content source based on the content position for the content item being within an area that is defined based on the device location. The method also includes displaying a representation of the content item as part of a computer-generated reality scene in which the representation of the content item is positioned relative to the physical environment according to the content position for the content item from the display location information for the content item.

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 method includes determining a device location of an electronic device, and obtaining a content item to be output for display by the electronic device based on the device location, wherein the content item comprises coarse content location information and fine content location information. The method also includes determining an anchor in a physical environment based on the content item, determining a content position and a content orientation for the content item relative to the anchor based on the fine content location information, and displaying a representation of the content item using the electronic device using the content position and the content orientation.

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.

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Sunnyvale, CA, United States of America

David W Padgett