Animal health decision support system and methods

A method for providing non-human animal health decision support, the method comprising:

• collecting non-human animal information including type of non-human animal;
• determining a non-human animal health topic based on the collected non-human animal information;
• transmitting a question set corresponding to the non-human animal topic, the question set including one or more questions, each question having one or more associated answers, wherein at least one question of said question set corresponds to a medical history associated with a human owner of the animal;
• receiving answers associated with the question set;
• analyzing the answers to predict a severity of a medical condition based on the pet data and the human owner data, wherein the predicting comprises training a machine learning model based on the analyzing of the answers corresponding to the non-human animal topic and the medical history associated with the human owner, wherein said predicting further includes comparing an age of the animal to the model for a probabilistic determination of an initial onset of oral melanoma;
• determining a course of action based on the predicted severity, wherein the course of action is a recommendation comprising at least one of contacting a veterinarian, obtaining a relevant product, making an appointment with a veterinarian, watching for change in symptoms in the non-human animal, and transporting the non-human animal to a clinic;
• and
• generating the course of action for display to a user.

A system for providing non-human animal health decision support, comprising:

• a first software module for use on a client device, the software module including instructions stored on a non-transitory computer readable medium that:
• receive, via a user interface, information about a non-human animal including type of non-human animal;
• determine, in response to a user input, a health topic corresponding to the non-human animal;
• request, from a server computer, a question set related to the non-human animal health topic, the question set including one or more questions, each question having one or more associated answers, wherein at least one question of said question set corresponds to a medical history associated with a human owner of the animal;
• present one or more questions from the question set;
• detect a selection of answers corresponding to the presented one or more questions;
• output a course of action via a display of the client device;
• a second software module for use on a server, the second software module including instructions stored on a non-transitory computer readable medium that:
• transmit, in response to the request from the client device, the question set related to the health topic;
• analyze the selection of answers to predict a severity of a medical condition based on the pet data and the human owner data, wherein the predicting comprises training a machine learning model based on the analyzing of the answers corresponding to the non-human animal topic and the medical history associated with the human owner, wherein said predicting further includes comparing an age of the animal to the model for a probabilistic determination of an initial onset of oral melanoma;
• determine a course of action based on the predicted severity, wherein the course of action is a recommendation comprising at least one of contacting a veterinarian, obtaining a relevant product, making an appointment with a veterinarian, watching for change in symptoms in the non-human animal, and transporting the non-human animal to a clinic;
• deliver the course of action to the client device;
• and
• store the course of action and date of the recommendation.