Training a machine learning module and updating a rules engine to determine medical best practice recommendations for user entered medical observations

A computer program product for determining medical best practice recommendations for user entered medical observations, the computer program product comprising a computer readable storage medium having computer readable program code embodied therein that is executable to perform operations, the operations comprising:

• receiving a medical observation of a patient from a user;
• processing, by a classification program, implementing a machine learning module, the received medical observation to classify into a medical finding based on the received medical observation;
• processing, by a rules engine, comprising a data structure that provides best practice recommendations for each of possible medical findings outputted from the classification program, the medical finding to determine a medical best practice recommendation for the medical finding;
• transmitting the medical finding and the medical best practice recommendation to render in a user interface;
• receiving indication of the user rejecting the medical finding rendered in the user interface;
• and
• training the machine learning module comprising the classification program to output a preferred medical finding, provided to replace the medical finding transmitted to the user interface, based on the medical observations, in response to receiving the user rejecting the medical finding.

A system for determining medical best practice recommendations for user entered medical observations, comprising:

• a processor;
• and
• a computer readable storage medium having computer readable program code embodied that when executed by the processor performs operations, the operations comprising:
• receiving a medical observation of a patient entered into a user interface;
• receiving a medical observation of a patient from a user;
• processing, by a classification program, implementing a machine learning module, the received medical observation to classify into a medical finding based on the received medical observation;
• processing, by a rules engine, comprising a data structure that provides best practice recommendations for each of possible medical findings outputted from the classification program, the medical finding to determine a medical best practice recommendation for the medical finding;
• transmitting the medical finding and the medical best practice recommendation to render in the user interface;
• receiving indication of the user rejecting the medical finding rendered in the user interface;
• and
• training the machine learning module comprising the classification program to output a preferred medical finding, provided to replace the medical finding transmitted to the user interface, based on the medical observations, in response to receiving the user rejecting the medical finding.

A computer implemented method for determining medical best practice recommendations for user entered medical observations, comprising:

• receiving a medical observation of a patient from a user;
• processing, by a classification program, implementing a machine learning module, the received medical observation to classify into a medical finding based on the received medical observation;
• processing, by a rules engine, comprising a data structure that provides best practice recommendations for each of possible medical findings outputted from the classification program, the medical finding to determine a medical best practice recommendation for the medical finding;
• transmitting the medical finding and the medical best practice recommendation to render in a user interface;
• receiving indication of the user rejecting the medical finding rendered in the user interface;
• and
• training the machine learning module comprising the classification program to output a preferred medical finding, provided to replace the medical finding transmitted to the user interface, based on the medical observations, in response to receiving the user rejecting the medical finding.