One embodiment comprises a non-transitory computer readable medium comprising computer-executable instructions executable to access a conversation-enabled document and expose the conversation-enabled document on a conversation channel as a conversation into the conversation-enabled document. The conversation-enabled document can comprise a conversation component for controlling a conversation interface into the conversation-enabled document, the conversation component specifying conversation steps, routing between conversation steps and a document variable to accept a conversation participant response. The computer-executable instructions can be executable to set a document variable value in the conversation-enabled document based on the participant response received via the conversation interface; and render the conversation-enabled document to a response channel using the document variable and the page template.

Modifying computer program output in a voice or non-text input activated environment is provided. A system can receive audio signals detected by a microphone of a device. The system can parse the audio signal to identify a computer program to invoke. The computer program can identify a dialog data structure. The system can modify the identified dialog data structure to include a content item. The system can provide the modified dialog data structure to a computing device for presentation.

Modifying computer program output in a voice or non-text input activated environment is provided. A system can receive audio signals detected by a microphone of a device. The system can parse the audio signal to identify a computer program to invoke. The computer program can identify a dialog data structure. The system can modify the identified dialog data structure to include a content item. The system can provide the modified dialog data structure to a computing device for presentation.

In certain embodiments, intent prediction and dialogue generation may be facilitated. In some embodiments, a chat initiation request may be obtained from a user. The latest activity information associated with the user may be provided to a prediction model to obtain a first set of predicted intents of the user. For each intent of the first set of predicted intents, a candidate question may be selected from a question set based on the candidate question matching the intent. In some embodiments, the candidate questions may be simultaneously presented on the chat interface.

In certain embodiments, intent prediction and dialogue generation may be facilitated. In some embodiments, a chat initiation request may be obtained from a user. The latest activity information associated with the user may be provided to a prediction model to obtain a first set of predicted intents of the user. For each intent of the first set of predicted intents, a candidate question may be selected from a question set based on the candidate question matching the intent. In some embodiments, the candidate questions may be simultaneously presented on the chat interface.

A method, computer program product, and computing system for proactive encounter scanning is executed on a computing device and includes obtaining encounter information of a patient encounter. The encounter information is proactively processed to determine if the encounter information is indicative of one or more medical conditions and to generate one or more result set. The one or more result sets are provided to the user.

A method, computer program product, and computing system for proactive encounter scanning is executed on a computing device and includes obtaining encounter information of a patient encounter. The encounter information is proactively processed to determine if the encounter information is indicative of one or more medical conditions and to generate one or more result set. The one or more result sets are provided to the user.

A communication system for providing a positive communication to an inmate is provided. The communication system includes memory that stores data, and an application server that analyzes data to determine topics that are important to the inmate. The application server includes a topic rating system to rate the topics based on importance to the inmate and based on an emotional tone used by the inmate during a communication. When the application server receives a question from the inmate, the application server searches the data and the Internet and responds based on the answer and the data stored in memory. The application server also provides support to the inmate by suggesting counseling services according to the needs of the inmate. Further, the communication system provides a positive influence to the inmate to encourage educational progression.

A communication system for providing a positive communication to an inmate is provided. The communication system includes memory that stores data, and an application server that analyzes data to determine topics that are important to the inmate. The application server includes a topic rating system to rate the topics based on importance to the inmate and based on an emotional tone used by the inmate during a communication. When the application server receives a question from the inmate, the application server searches the data and the Internet and responds based on the answer and the data stored in memory. The application server also provides support to the inmate by suggesting counseling services according to the needs of the inmate. Further, the communication system provides a positive influence to the inmate to encourage educational progression.

Embodiments include an audio analyzer to analyze audio data received from a user computing system operating as a participant in a conference managed by a conferencing application and to detect one or audio pause conditions; a video analyzer to analyze video data received from the user computing system and to detect one or video pause conditions; and a conferencing manager to automatically pause distribution of the audio data to other participants of the conference when the one or more audio pause conditions are detected and automatically pause distribution of the video data to the other participants when the one or more video pause conditions are detected.