Methods and Systems for Interpreting a Diagnostic Test Result

A computing device comprising:

• one or more processors;
• and
• non-transitory computer readable medium storing instructions executable by the one or more processors to perform functions comprising:
• receiving a diagnostic test result for an animal patient as a result of a series of diagnostic tests performed on the animal patient;
• based at least in part on the diagnostic test result being indicative of a steroid analyte, initiating an automated clinical decision support interface on a graphical user interface for the diagnostic test result for the animal patient;
• in response to receiving a selection on the graphical user interface to initiate automated clinical decision support for the diagnostic test result for the animal patient, prompting a user via the graphical user interface to provide input regarding (i) a dose of medication provided to the animal patient for the diagnostic test, and (ii) information relating to at least one observed clinical sign in the animal patient;
• based at least in part on (i) the dose of medication provided to the animal patient and (ii) the information relating to the at least one observed clinical sign in the animal patient, executing a set of predetermined rules for processing the diagnostic test result for the animal patient to generate a clinical interpretation of the diagnostic test;
• and
• responsively providing via the graphical user interface the clinical interpretation of the diagnostic test.

A non-transitory computer readable medium having stored thereon instructions, that when executed by one or more processors of a computing device, cause the computing device to perform functions comprising:

• receiving a diagnostic test result for an animal patient as a result of a series of diagnostic tests performed on the animal patient;
• based at least in part on the diagnostic test result being indicative of a steroid analyte, initiating an automated clinical decision support interface on a graphical user interface for the diagnostic test result for the animal patient;
• in response to receiving a selection on the graphical user interface to initiate automated clinical decision support for the diagnostic test result for the animal patient, prompting a user via the graphical user interface to provide input regarding (i) a dose of medication provided to the animal patient for the diagnostic test, and (ii) information relating to at least one observed clinical sign in the animal patient;
• based at least in part on (i) the dose of medication provided to the animal patient and (ii) the information relating to the at least one observed clinical sign in the animal patient, executing a set of predetermined rules for processing the diagnostic test result for the animal patient to generate a clinical interpretation of the diagnostic test;
• and
• responsively providing via the graphical user interface the clinical interpretation of the diagnostic test.

A computer-implemented method for interpreting diagnostic test results, comprising:

• receiving, at a computing device, diagnostic test results for an animal patient as a result of a series of diagnostic tests performed on the animal patient;
• based on the diagnostic test results being indicative of an increased possibility of liver dysfunction, the computing device programmatically initiating an automated clinical decision support interface on a graphical user interface for the diagnostic test result for the animal patient;
• the computing device executing a set of predetermined rules to generate a hepatobiliary alert for inclusion in the automated clinical decision support interface, wherein executing the set of predetermined rules includes:
• dynamically generating complete blood count (CBC), urinalysis, and chemistry next step suggestions based on a lack of (CBC), urinalysis, and chemistry test results from tests performed on the animal patient within about a past month timeframe;
• dynamically generating a bile acids panel suggestion based on the diagnostic test results being indicative of the increased possibility of liver dysfunction;
• and
• creating the hepatobiliary alert including the complete blood count (CBC), urinalysis, and chemistry next step suggestions as well as the bile acids panel suggestion;
• and
• publishing the hepatobiliary alert in the automated clinical decision support interface.