Systems, methods and computer program products that facilitate dynamic playlist priority in a vehicle based upon user preferences and context. According to an embodiment, a system comprises a processor that executes computer executable components stored in at least one memory, a compilation component that receives content in a vehicle, an assessment component that respectively classifies subsets of the content, a ranking component that ranks relevancy of the classified subsets of content based upon preferences and context of a user in the vehicle, a content playback component that plays the subsets of classified content based upon relevancy ranking, a prioritization component that dynamically prioritizes a first subset of the content based upon the context of the user or context of a sender of the first subset of content, wherein the first subset of content comprises extrinsic data, and an interrupt component that interrupts playback of the subsets of classified content based upon the dynamic prioritization.

A modular ACD system is configured to automate clinical documentation and includes a machine vision system configured to obtain machine vision encounter information concerning a patient encounter. An audio recording system is configured to obtain audio encounter information concerning the patient encounter. A compute system is configured to receive the machine vision encounter information and the audio encounter information.

A method, computer program product, and computing system for automating a monitoring process is executed on a computing device and includes obtaining encounter information of a patient encounter. The encounter information is processed to determine if the encounter information is indicative of a potential medical situation. An inquiry is initiated concerning the potential medical situation.

A wearable accessory for delivery of personalized audio service includes a first microphone for capturing sound, a first speaker for playing media, a logic circuit for creating a personalized Head Related Transfer Function (HRTF) to enhance listening experience of the media, a communication module for accessing the Internet and to provide access to the media in response to capturing the sound, and a memory storage unit for storing information related to the captured sound. Other embodiments are disclosed.

A method, computer program product, and computing system for compartmentalizing a virtual assistant is executed on a computing device and includes obtaining encounter information via a compartmentalized virtual assistant during a patient encounter, wherein the compartmentalized virtual assistant includes a core functionality module. One or more additional functionalities are added to the compartmentalized virtual assistant on an as-needed basis.

A method, computer program product, and computing system for automating an intake process is executed on a computing device and includes prompting a patient to provide encounter information via a virtual assistant during a pre-visit portion of a patient encounter. Encounter information is obtained from the patient in response to the prompting by the virtual assistant.

Provided is a search system which is configured to search for a registered vector being similar to an input vector among a plurality of registered vectors, on the basis of a degree of similarity between an input vector and a registered vector. The search system includes a partial similarity calculation unit that calculates a degree of partial similarity which is the degree of similarity concerning some of one or more dimensions of the input vector and the registered vector, a limit calculation unit that calculates, on the basis of the degree of partial similarity, an upper limit of the degree of similarity that is expected when the degree of similarity is calculated, and a rejection decision unit that decides, on the basis of the upper limit of the degree of similarity, whether or not to reject the registered vector from a candidate for a search result.

A method is performed at a server system. The method includes, while streaming a playlist at a first electronic device associated with a host listener, the playlist including media content items: automatically receiving an identity of a guest listener having a second electronic device, without explicit input from the guest listener after the second electronic device comes within range of the first electronic device; selecting an additional media content item based at least in part on the identity of the guest listener; and incorporating the additional media content item into the selected playlist.

Methods, systems and computer program products are provided personalizing recommendations of items with associated explanations. The example embodiments described herein use contextual bandits to personalize explainable recommendations (“recsplanations”) as treatments (“Bart”). Bart learns and predicts satisfaction (e.g., click-through rate, consumption probability) for any combination of item, explanation, and context and, through logging and contextual bandit retraining, can learn from its mistakes in an online setting.

A method, computer program product, and computing system for compartmentalizing a virtual assistant is executed on a computing device and includes obtaining encounter information via a compartmentalized virtual assistant during a patient encounter, wherein the compartmentalized virtual assistant includes a core functionality module. One or more additional functionalities are added to the compartmentalized virtual assistant on an as-needed basis.