Computerized decision support tool for post-acute care patients

A computerized method for implementing a decision support tool for a patient receiving post-acute care services, the computerized method comprising:

• receiving patient data recovered over time for the patient, the patient having received post-acute care services;
• generating one or more sequences based on the patient data;
• based at least in part on the one or more sequences, determining, using a neural network, a readmission prediction that the patient will be readmitted into an acute care facility within a future time interval;
• and
• initiating an action based on the readmission prediction.

A computerized system for predicting readmission for a patient who has received post-acute care services, the system comprising:

• one or more processors;
• and
• one or more computer storage media storing computer-useable instructions that, when used by the one or more processors, cause the one or more processors to perform a method, the method comprising:
• receiving patient data recovered over time for the patient;
• generating at least two sequences based on the patient data, wherein the at least two sequences comprise at least one sequence of feature values arranged in reverse chronological order;
• utilizing a recurrent neural network to determine, based on the at least two sequences, a likelihood that the patient will be readmitted to an acute care facility within a future time interval;
• and
• initiating an action based on the likelihood that the patient will be readmitted.