Abstract: A method and bot assistance system (101) for identifying ideal virtual assistant bots for providing response to user queries is disclosed. The bot assistance system receives user query. The user query is processed to identify context and intent using Natural Language Processing (NLP). The bot assistance system identifies at least one virtual assistant bot for responding to user query based on confidence score of each virtual assistant bot associated with intent of user query, using pretrained model. The identification of at least one virtual assistant bot includes either determining ideal virtual assistant bot based on context of user query, using predefined governance rules. Otherwise, initiating polling between plurality of predefined virtual assistant bots when context of user query is unidentified. The plurality of predefined virtual assistance bots is provided to user associated with user query if each of predefined virtual assistance bots are selected during polling.

Abstract: A method and bot assistance system (101) for identifying ideal virtual assistant bots for providing response to user queries is disclosed. The bot assistance system receives user query. The user query is processed to identify context and intent using Natural Language Processing (NLP). The bot assistance system identifies at least one virtual assistant bot for responding to user query based on confidence score of each virtual assistant bot associated with intent of user query, using pretrained model. The identification of at least one virtual assistant bot includes either determining ideal virtual assistant bot based on context of user query, using predefined governance rules. Otherwise, initiating polling between plurality of predefined virtual assistant bots when context of user query is unidentified. The plurality of predefined virtual assistance bots is provided to user associated with user query if each of predefined virtual assistance bots are selected during polling.

Abstract: A method and system for managing radiology study orders is disclosed. The method includes the steps for creating an order for a radiology study; receiving one or more images; reconciling an image from one or more images with the order, based on a reconciliation rule set to obtain the radiology study; assigning a radiologist for the radiology study based on auto-scheduling rule set and control parameters; reading of the radiology study by the radiologist; recording of a radiology report for the radiology study by the radiologist; generating a quality index for the radiologist based on the radiology report; sending the radiology report to a physician; and approving of the radiology report by the physician.