Comprehensive diagnosis and care system

A system for providing a diagnosis of a patient during a patient instance, the system comprising:

• a non-transitory computer-readable media containing computer-executable instructions that, when executed by a processor, cause the processor to perform a method of providing the diagnosis of the patient during the patient instance, the method comprising:
• presenting a plurality of data queries of a patient's health, including patient history, symptoms, and events to a first user associated with the patient instance, the first user having a first specialty;
• receiving a plurality of data query responses, each response comprising at least one of prepopulated responses, natural language text strings generated from voice recognition, or user selections;
• analyzing the plurality of data query responses by traversing a route through a static node graph via a dynamic analyzer, the static node graph based on the plurality of data query responses;
• generating a first working etiology and a second working etiology based on the route through the static node graph;
• generating a first diagnosis and a second diagnosis based on the first working etiology, the second working etiology, and the plurality of data query responses, the first diagnosis and the second diagnosis determined by the dynamic analyzer;
• generating a first treatment plan for the patient, the first treatment plan based on the first diagnosis, the second diagnosis, and at least in part, on the first specialty of the first user;
• presenting the first treatment plan to the first user;
• transferring the patient instance to a second user having a second specialty;
• generating a second treatment plan for the patient, the second treatment plan based on the first working etiology, the second working etiology, and at least in part, on the second specialty of the second user;
• presenting the second treatment plan to the second user;
• capturing a plurality of patient treatment responses comprising information indicative of patient health progress;
• and
• revising the first diagnosis and the second diagnosis through the dynamic analyzer based on the plurality of patient treatment responses.

One or more non-transitory computer-readable media containing computer-executable instructions that, when executed by a processor, perform a method of assisting in treating a patient, the method comprising:

• determining a first working etiology and a second working etiology, comprising:
• comparing a likelihood of each etiology of a plurality of possible etiologies, the likelihood of each etiology based, at least in part, on historical patients similar to the patient;
• and
• traversing a plurality of static node graphs by following a plurality of routes through the plurality of static node graphs with a dynamic analyzer, the plurality of routes based on a plurality of data query responses corresponding to a plurality of data queries,
• wherein the plurality of data query responses comprises at least one of prepopulated responses, natural language text strings generated from voice recognition, or user selections;
• determining a first working diagnosis and a second working diagnosis based upon the first working etiology and the second working etiology;
• determining a first treatment plan comprising a first plurality of care steps based on the first working diagnosis and determining a second treatment plan comprising a second plurality of care steps based on the second working diagnosis;
• determining a comprehensive treatment plan having a plurality of comprehensive care steps by comparing the first treatment plan and the second treatment plan, the comprehensive treatment plan configured to treat the first working diagnosis and the second working diagnosis;
• presenting the comprehensive treatment plan to a user;
• capturing a plurality of patient treatment responses comprising information indicative of patient health progress;
• and
• revising the first working diagnosis and the second working diagnosis through the dynamic analyzer based on the plurality of patient treatment responses.