Systems and Methods for Assessing Whether Medical Procedures Should Be Approved

A method for assessing whether one or more medical procedures should be approved, comprising:

• processing medical data and a first set of clinical criteria using a first machine learning algorithm to generate a first output indicating whether a first medical procedure should be approved;
• after generating the first output, saving a first state of the machine learning algorithm;
• displaying on a computer screen an indication of whether the procedure is approved;
• receiving a second set of clinical criteria;
• processing a second set clinical criteria using the machine learning algorithm to generate a second output indicating whether a second medical procedure should be approved, wherein the machine learning algorithm is converted from the first state to a second state;
• after generating the second output indicating whether the second medical procedure should be approved, retrieving the first state of the machine learning algorithm;
• and
• after retrieving the first state of the machine learning algorithm, process a third set of clinical criteria using the machine learning algorithm in the second state to generate a third output indicating whether a second medical procedure should be approved.

A system for assessing whether one or more medical procedures should be approved, comprising:

• a computer memory having a non-transitory machine-readable medium comprising machine-executable code recorded thereon, said machine-executable code comprising instructions for:
• processing medical data and a first set of clinical criteria using a first machine learning algorithm to generate a first output indicating whether a first medical procedure should be approved;
• after generating the first output, saving a first state of the machine learning algorithm;
• displaying on a computer screen an indication of whether the procedure is approved;
• processing a second set clinical criteria using the machine learning algorithm to generate a second output indicating whether a second medical procedure should be approved, wherein the machine learning algorithm is converted from the first state to a second state;
• after generating the second output, saving the second state of the machine learning algorithm and retrieving the first state of the machine learning algorithm;
• receiving a third set of clinical criteria;
• processing a third set clinical criteria using the machine learning algorithm to generate a third output indicating whether a third medical procedure should be approved, wherein the machine learning algorithm is converted from the second state to a third state;
• after generating the third output, retrieving the first state of the machine learning algorithm.