Abstract: An example method for assigning specialized resources includes dynamically generating and presenting a plurality of inquiries based on selected symptom-dimension relationship pairs that are associated with symptom and user responses to previous inquiries. The method further includes computing probabilities of different diseases being a diagnosis based on a Bayesian model including computing odds of diseases given selected symptom-dimension relationship pairs and odds of diseases given risk factors indicated by user responses to inquiries, and assigning specialized resources based thereon.

Abstract: An example method for improving communication efficiency and reducing data redundancy in a computerized platform includes determining a priority value of an inquiry based on a duration of time for which the inquiry remains unanswered in the queue in comparison with other unanswered inquiries, sorting previously-obtained inquiries based on (a) a quantity of common topic labels shared between the set of topic labels associated with the inquiry and a respective set of topic labels associated with each previously-obtained inquiry in the subset and (b) a quality score associated with an answer to each previously-obtained inquiry in the subset to generate a sorted list for presentation, and routing the inquiry based on (a) user interactions, (b) the priority value of the inquiry, and (c) at least one of a user request, relation to a specialty of a healthcare professional, geographic location of the healthcare professional, or history of answers provided by the healthcare professional.

Abstract: An example method for improving communication efficiency and reducing data redundancy in a computerized platform includes determining a priority value of an inquiry based on a duration of time for which the inquiry remains unanswered in the queue in comparison with other unanswered inquiries, sorting previously-obtained inquiries based on (a) a quantity of common topic labels shared between the set of topic labels associated with the inquiry and a respective set of topic labels associated with each previously-obtained inquiry in the subset and (b) a quality score associated with an answer to each previously-obtained inquiry in the subset to generate a sorted list for presentation, and routing the inquiry based on (a) user interactions, (b) the priority value of the inquiry, and (c) at least one of a user request, relation to a specialty of a healthcare professional, geographic location of the healthcare professional, or history of answers provided by the healthcare professional.

Abstract: A facility for providing healthcare assistance is described. The facility receives a symptom triage request from a first user. The facility provides to the first user a symptom triage response that is responsive to the received symptom request. The facility receives a prescription fulfillment request from a second user. The facility notifies notifying the second user of prescription fulfillment that is responsive to the received prescription fulfillment request.

Abstract: An example method for improving communication efficiency and reducing data redundancy in a computerized platform includes determining a priority value of an inquiry based on a duration of time for which the inquiry remains unanswered in the queue in comparison with other unanswered inquiries, sorting previously-obtained inquiries based on (a) a quantity of common topic labels shared between the set of topic labels associated with the inquiry and a respective set of topic labels associated with each previously-obtained inquiry in the subset and (b) a quality score associated with an answer to each previously-obtained inquiry in the subset to generate a sorted list for presentation, and routing the inquiry based on (a) user interactions, (b) the priority value of the inquiry, and (c) at least one of a user request, relation to a specialty of a healthcare professional, geographic location of the healthcare professional, or history of answers provided by the healthcare professional.

Abstract: A method and system for facilitating medical consultations between a patient and a healthcare professional located remote from the patient includes a virtual consultation application hosted on a server. A request to initiate a medical consultation from a patient using a patient computer device is received at the application. The application receives information input by the patient relating to a health inquiry of the patient. A healthcare professional is identified based on the information input by the patient relating to the health inquiry.

Abstract: A system for providing an interactive care plan to a patient is described. A patient computer device receives symptom information for the patient. A server hosts a virtual consultation application. The virtual consultation application receives from the patient computer device symptom information for the patient; accesses interactive care plans each specifying one or more measures to be taken on a patient's behalf; uses the received symptom information for the patient to select one of the plurality of accessed interactive care plans; and recommends the selected interactive care plan to the patient via the patient computer device.