Software tool for veterinarians

• US 9,727,699 B2
• Filed: 08/05/2013
• Issued: 08/08/2017
• Est. Priority Date: 08/03/2012
• Status: Active Grant

• Current Assignee: Timeless Veterinary Systems Inc.
• Original Assignee: Timeless Veterinary Systems Inc.
• Inventors: Rowe, John L., Pineau, Brad D.
• Primary Examiner(s): Stice, Paula J
• Application Number:
  US14/419,470
• Publication Number:
  US 20150213210A1
• Time in Patent Office: 1,464 Days
• Field of Search: 600301
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 5/746 Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A system and method for generating options for treatment options and pertinent disease information for treating an animal of a first species suffering from an ailment comprises receiving input data representative of a diagnosis of the ailment for the first species, retrieving from a memory at least one treatment protocol associated with the diagnosis as received, and outputting the retrieved at least one treatment protocol. The memory is populated with a plurality of diagnoses each associated with at least a corresponding one of a plurality of treatment protocols adapted for treating at least one animal species and at least one ailment. Each one of the plurality of treatment protocols is supported by evidence-based research.

Claims

1. A computer-based decision support system for animals, the system comprising:

a memory populated with;

a plurality of diagnoses each associated with at least one of a plurality of species-specific treatment protocols each adapted for treating at least one animal species and at least one ailment; and

a plurality of rules applicable to the plurality of diagnoses for identifying an appropriate treatment option,

each one of the plurality of treatment protocols and each one of the plurality of rules supported by evidence-based research;

a processor; and

at least one application stored in the memory and comprising an inference engine, the at least one application executable by the processor configured to

receive input data identifying a first species and representative of a diagnosis of a first ailment for the first species,

retrieve, by the inference engine, from the memory the at least one treatment protocol associated with the diagnosis and the first species as received,

select, by the inference engine, at least one rule from the plurality of rules based on the input data and apply, by the inference engine, the at least one rule to the at least one treatment protocol to identify treatment appropriate for treating the first species and the first ailment; and

output the appropriate treatment as identified.

2. The system of claim 1, wherein the at least one application is executable for receiving medical data comprising at least one of a symptom, an affected body site, and a diagnostic test result, retrieving from the memory the plurality of diagnoses, comparing the received medical data to the plurality of diagnoses for establishing a tentative diagnosis for the animal, and outputting the tentative diagnosis.

3. The system of claim 2, wherein the at least one application is executable for receiving the input data indicative of a validation of the tentative diagnosis.

4. The system of claim 1, wherein the memory is populated with at least one fuzzy rule having at least one instruction associated therewith and further wherein the at least one application is executable for applying fuzzy logic to execute the at least one instruction.

5. The system of claim 1, wherein the at least one application is executable for receiving the input data comprising at least one parameter selected from a group comprising of an age of the animal, a health condition of the animal, and a drug therapy currently prescribed to the animal, and further wherein the memory is populated with at least one exclusion rule applicable for excluding a selected one of the plurality of treatment protocols if the at least one parameter meets a predetermined criterion.

6. The system of claim 5, wherein the at least one application is executable for associating a risk with the selected one of the plurality of treatment protocols if the predetermined criterion is met and for outputting an alert indicative of the risk.

7. The system of claim 1, wherein the memory is populated with therapy information associated with each one of the plurality of treatment protocols, the therapy information comprising at least one of an identification of a drug, a dosage of the drug, a route of administration of the drug, a duration of administration, a frequency of administration, a contraindication of the drug, and an adverse effect of the drug, and further wherein the at least one application is executable for retrieving the therapy information associated with the at least one treatment protocol associated with the diagnosis and outputting the retrieved therapy information.

8. The system of claim 7, wherein the at least one application is executable for establishing on the basis of the retrieved therapy information a ranking of the at least one treatment protocol associated with the diagnosis and for outputting the ranking.

9. A computer-based decision support method for animals, the method comprising executing on a processor program code for:

receiving input data identifying a first species and representative of a diagnosis of a first ailment for the first species;

retrieving from a memory, by an inference engine, at least one treatment protocol associated with the diagnosis and the first species as received, the memory populated with a plurality of diagnoses each associated with at least one of a plurality of species-specific treatment protocols each adapted for treating at least one animal species and at least one ailment, each one of the plurality of treatment protocols supported by evidence-based research;

selecting from the memory, by the inference engine, at least one rule, based on the input data, from a plurality of rules stored in the memory and applicable to the plurality of diagnoses for identifying an appropriate treatment option, each one of the plurality of rules supported by the evidence-based research;

applying, by the inference engine, the at least one rule to the at least one treatment protocol to identify treatment appropriate for treating the first species and the first ailment; and

outputting the appropriate treatment as identified.

10. The method of claim 9, further comprising receiving medical data comprising at least one of a symptom, an affected body site, and a diagnostic test result, retrieving from the memory the plurality of diagnoses, comparing the received medical data to the plurality of diagnoses for establishing a tentative diagnosis for the animal, and outputting the tentative diagnosis.

11. The method of claim 10, wherein receiving the input data comprises receiving the input data indicative of a validation of the tentative diagnosis.

12. The method of claim 9, wherein retrieving the at least one treatment protocol associated with the diagnosis comprises applying fuzzy logic to execute at least one instruction associated with the at least one rule.

13. The method of claim 9, wherein receiving the input data comprises receiving at least one parameter selected from a group comprising of an age of the animal, a health condition of the animal, and a drug therapy currently prescribed to the animal, and further wherein applying the at least one rule comprises applying at least one exclusion rule applicable for excluding a selected one of the plurality of treatment protocols if the at least one parameter meets a predetermined criterion.

14. The method of claim 13, further comprising associating a risk with the selected one of the plurality of treatment protocols if the predetermined criterion is met and outputting an alert indicative of the risk.

15. The method of claim 9, further comprising retrieving from the memory therapy information associated with the at least one treatment protocol associated with the diagnosis and outputting the retrieved therapy information, the memory populated with therapy information associated with each one of the plurality of treatment protocols, the therapy information comprising at least one of an identification of a drug, a dosage of the drug, a route of administration of the drug, a duration of administration, a frequency of administration, a contraindication of the drug, and an adverse effect of the drug.

16. The method of claim 15, further comprising establishing on the basis of the retrieved therapy information a ranking of the at least one treatment protocol associated with the diagnosis and outputting the ranking.

17. A non-transitory computer readable medium having stored thereon program code executable by a processor for:

animal, the program code executable for;

receiving input data identifying a first species and representative of a diagnosis of a first ailment for the first species;

retrieving from a memory, by an inference engine, at least one treatment protocol associated with the diagnosis and the first species as received, the memory populated with a plurality of diagnoses each associated with at least one of a plurality of species-specific treatment protocols each adapted for treating at least one animal species and at least one ailment, each one of the plurality of treatment protocols supported by evidence-based research;

selecting from the memory, by the inference engine, at least one rule, based on the input data, from a plurality of rules stored in the memory and applicable to the plurality of diagnoses for identifying an appropriate treatment option, each one of the plurality of rules supported by the evidence-based research;

applying, by the inference engine, the at least one rule to the at least one treatment protocol to identify treatment appropriate for treating the first species and the first ailment; and

outputting the appropriate treatment as identified.