Server-based machine learning classifier and rules engine for providing a medical best practice recommendation based on a user-entered medical observation of a patient
Abstract
Provided are a computer program product, system, and method for determining real-time changes to content entered into a user interface to generate results for the content. In response to determining that entry of first content in a user input field rendered in a user interface is completed, the first content is provided to a classification program to classify into a first machine classification to provide to a rules engine to determine a first machine determined proposition. The first machine determined proposition is rendered in the user interface. A determination is made of second content in the user input field from the user that differs from the first content. The second content is provided to the classification program to classify into a second machine classification to provide to the rules engine to determine a second machine determined proposition rendered in the user interface with the second content.
Claims
exact text as granted — not AI-modified1 - 22 . (canceled)
23 . A computer program product for determining a classification of a medical diagnosis or description and providing a medical best practice recommendation based on a user entered medical observation in a user interface, the computer program product comprising a computer readable storage medium having computer readable program code thereon that is executable by a server computer to perform operations, the operations comprising:
receiving, remotely over a communications network from a user computer providing a user interface, a medical observation of a patient entered by a user in the user interface; classifying, using a machine learning module, the medical observation to produce a classification comprising a medical diagnosis or description for the patient; determining a medical best practice recommendation for the patient based on the classification comprising the medical diagnosis or description for the patient; and providing, over the communications network, the medical best practice recommendation to the user computer for display by the user computer.
24 . The computer program product of claim 23 , wherein determining a medical best practice recommendation comprises determining, using computer readable program code implementing a rules engine, the medical best practice recommendation for the patient based on the classification comprising the medical diagnosis or description for the patient.
25 . The computer program product of claim 24 , wherein the computer readable program code implementing the rules engine is separate from the computer readable program code implementing the classifying the medical observation, such that the computer readable program code implementing the rules engine is independently updatable relative to the computer readable program code implementing the classifying in order to update medical best practice recommendations of the rules engine.
26 . The computer program product of claim 23 , wherein the operations further comprise providing to the user computer a medical reference citation associated with the provided medical best practice recommendation for display by the user computer.
27 . The computer program product of claim 23 , wherein the operations further comprise:
receiving, remotely over the communications network from the user computer, information indicative of the user having rejected the medical best practice recommendation; and retraining the machine learning module based at least in part on said information.
28 . Server apparatus for determining a classification of a medical diagnosis or description and providing a medical best practice recommendation based on a user entered medical observation in a user interface, comprising:
a server computer operable to execute computer readable program instructions to perform operations, the operations comprising:
receiving, remotely over a communications network from a user computer providing a user interface, a medical observation of a patient entered by a user in the user interface;
classifying, using a machine learning module, the medical observation to produce a classification comprising a medical diagnosis or description for the patient;
determining a medical best practice recommendation for the patient based on the classification comprising the medical diagnosis or description for the patient; and
providing, over the communications network, the medical best practice recommendation to the user computer for display by the user computer.
29 . The server apparatus of claim 28 , wherein determining a medical best practice recommendation comprises determining, using computer readable program code implementing a rules engine, the medical best practice recommendation for the patient based on the classification comprising the medical diagnosis or description for the patient.
30 . The server apparatus of claim 29 , wherein the computer readable program code implementing the rules engine is separate from the computer readable program code implementing the classifying the medical observation, such that the computer readable program code implementing the rules engine is independently updatable relative to the computer readable program code implementing the classifying in order to update medical best practice recommendations of the rules engine.
31 . The server apparatus of claim 28 , wherein the operations further comprise providing to the user computer a medical reference citation associated with the provided medical best practice recommendation for display by the user computer.
32 . The server apparatus of claim 28 , wherein the operations further comprise:
receiving, remotely over the communications network from the user computer, information indicative of the user having rejected the medical best practice recommendation; and retraining the machine learning module based at least in part on said information.
33 . A computer implemented method for determining a classification of a medical diagnosis or description and providing a medical best practice recommendation based on a user entered medical observation in a user interface, comprising:
receiving, by a server computer located remotely over a communications network from a user computer providing a user interface, a medical observation of a patient entered by a user in the user interface; classifying, by the server computer using a machine learning module, the medical observation to produce a classification comprising a medical diagnosis or description for the patient; determining by the server computer a medical best practice recommendation for the patient based on the classification comprising the medical diagnosis or description for the patient; and providing, by the server computer over the communications network, the medical best practice recommendation to the user computer for display by the user computer.
34 . The computer implemented method of claim 33 , wherein determining a medical best practice recommendation comprises determining, by the server computer using computer readable program code implementing a rules engine, the medical best practice recommendation for the patient based on the classification comprising the medical diagnosis or description for the patient.
35 . The computer implemented method of claim 34 , wherein the computer readable program code implementing the rules engine is separate from the computer readable program code implementing the classifying the medical observation, such that the computer readable program code implementing the rules engine is independently updatable relative to the computer readable program code implementing the classifying in order to update medical best practice recommendations of the rules engine.
36 . The computer implemented method of claim 33 , further comprising providing, by the server computer to the user computer, a medical reference citation associated with the provided medical best practice recommendation for display in the user interface.
37 . The computer program implemented method of claim 33 , wherein the computer implemented method further comprises performing by the server computer
receiving, remotely over the communications network from the user computer, information indicative of the user having rejected the medical best practice recommendation; and retraining the machine learning module based at least in part on said information.Join the waitlist — get patent alerts
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