Systems and methods for providing professional treatment guidance for diabetes patients

A method for providing patient treatment guidance for a patient that is being tested or has been tested for a diabetic or pre-diabetic condition, the method comprising:

• obtaining a biochemical data set, via a computer system having a processor programmed to obtain the biochemical dataset, wherein the biochemical data set comprises a plurality of test results from a single blood draw of the patient, wherein the plurality of test results comprises at least three measurements from the group consisting of a high-sensitivity c-reactive protein test, an adiponectin level test, a proinsulin level test, an insulin level test, a C-peptide test, a HbA1c test, and an eGFR level test;
• obtaining a demographic data set for the patient, via a computer system having a processor programmed to obtain the biochemical dataset, wherein the demographic data set comprises (i) an indication of a gender of the patient and (ii) an enumerated indication of a patient's stage of disease or a current therapy, wherein the enumerated indication of the patient's stage of disease or the current therapy is one of (a) diagnosed as pre-diabetes, (b) diagnosed with diabetes but not taking a drug (c) diagnosed with diabetes and taking a first line diabetes drug (d) diagnosed with diabetes and prescribed multiple diabetes drugs without insulin and (e) diagnosed with diabetes and prescribed multiple diabetes drugs with insulin, or (f) a current therapy for the diabetic or pre-diabetic condition;
• selecting a subset of a plurality of decision rules from a plurality of decision rules based upon the biochemical data set and the demographic data set for the patient via a computer system having a processor programmed to perform the selecting;
• running all or a portion of the biochemical data set and the demographic data set against the subset of decision rules via a computer system having a processor programmed to perform the running, wherein, in accordance with a determination that one or more firing conditions of each respective decision rule in the subset of decision rules is fired, a patient pattern is selected, from among a set of at least 20,000 patient patterns, through the comparison of (i) the determination that one or more firing conditions of each respective decision rule in the subset of decision rules is fired to (ii) each patient pattern in the set of at least 20,000 patient patterns, wherein the patient pattern comprises a pattern of insulin resistance, β-cell stress level, and cardiovascular inflammation;
• and
• preparing a report based on an identity of the patient pattern, via a computer system having a processor programmed to perform the preparing, wherein the report provides a first prioritization of intervention classes in a first priority ordering of a plurality of intervention classes for the diabetic or pre-diabetic condition based on the identity of the patient pattern, wherein the plurality of intervention classes comprises one or more drug classes in the group consisting of a metformin class, a sodium-glucose cotransporter-2 inhibitor class, a glucagon-like peptide-1 receptor agonists class, a dipeptidyl peptidase-4 inhibitor class, an insulin class, a thiazolidinedione class, a glinides class, and a sulfonylureas class.