Abstract: A system for preparing documents in a standards compliant electronic health record (EHR). A document intake device is configured to receive an image file transmitted to the device using an image file transport protocol. An artificial intelligence/machine learning (AI/ML) model is configured to extract patient demographic and medical information contained within the image file as a text file with the patient demographic and medical information, and format the text file for use as a EHR by a transformation engine. The transformation engine is configured to convert the text file formatted for use as the EHR into the standards compliant EHR and transmit the standards compliant EHR as a Direct Secure Message to a Health Information Service Provider (HISP). The HISP configured to send the standards compliant EHR as a Direct Secure Message for storage as a patient record if a patient match is found.

Abstract: The present invention relates to an automated system and algorithm that aids in the automatic discovery and presentation of media content, in particular, music content, that is available across multiple online music services. More specifically, the disclosed embodiments utilize the meta-data associated with a given media content item (seed content) being accessed to find related or similar content, radio stations, or music streams and the like from across multiple online music services (such as iTunes, Rhapsody, Spotify, Pandora, etc.). The system then selects, arranges and presents those actions and/or media content items to a user in a blended list of actionable links. Selection can include comparing and ranking of available media content items or sources according to one or more selection criteria concerning one or more of the following attributes: cost, quality, availability and speed of access of the particular media content.