System and methods for integrating animal health records

A system for integrating a pet health record from a network of client devices, comprising:

• a database;
• a server operatively coupled to said database, said server including a non-volatile, non-transitory memory storing a server-side application with instructions executed by a processor, the processor configured to:
• maintain the pet health record, said health record linked to a global record set in a database, said global record set including data corresponding to a global population of animals;
• capture unstructured information including pet data and human owner data from one or more remote client devices self-service functions and from one or more healthcare providers associated with the animal;
• update the health record with the pet data and the human owner data, said human owner data including diabetic information corresponding to a human owner of the animal;
• generate one or more condition records based on said updated health record, each condition record associated with a symptom of the animal;
• analyze each condition record to assess a condition of the animal, wherein each condition record is analyzed on an individual basis and in regard to a global population to make a dimensional projection based on the pet data and human owner data;
• predict a medical condition of the animal based on the pet data and the human owner data, wherein the predicting comprises training a machine learning model based on the analyzing of each condition record, wherein the predicting step further includes comparing a weight of said animal to the model for a probabilistic determination of initial onset of diabetes;
• and
• transmit an output related to the condition of the animal to the one or more client devices, wherein the output includes at least one of a cause, a treatment, and an outcome.