Systems and methods for reducing resource consumption via information technology infrastructure

A method of reducing resource consumption via information technology infrastructure, comprising:

• receiving, by a server via a communications interface, one or more data packets including data indicating a healthcare transaction event corresponding to a participant of a plurality of participants of a healthcare management platform, wherein the healthcare transaction event includes a denial;
• identifying, by the server, a machine learning engine configured to train healthcare trend models that predict resource allocations to reduce resource consumption using at least one of decision tree learning, a predictive model, association rule learning, support vector machines, clustering, or reinforcement learning;
• training, by the server using the machine learning engine, the healthcare trend model to include a baseline threshold for one or more features using previously received data packets including data indicating healthcare transaction events corresponding to the plurality of participants of the healthcare management platform;
• selecting, by the server, the healthcare trend model to provide healthcare related recommendations to the plurality of participants of the healthcare management platform maintained by the server;
• initiating, by the server, based on a comparison between the healthcare transaction event and the baseline threshold of the selected healthcare trend model, a notification engine to cause the notification engine to reduce resource consumption of information technology infrastructure
• performing, by the notification engine of the server responsive to initiation, a lookup in a recommendation data structure using an identifier of the selected healthcare trend model to identify a plurality of healthcare related recommendations linked with the selected healthcare trend model;
• determining, by the server, a correlation coefficient between each of the plurality of healthcare related recommendations and the selected healthcare trend model, wherein the correlation coefficient indicates a likelihood that the plurality of healthcare related recommendations reduces resource consumption of information technology infrastructure by reducing an occurrence of denied transactions;
• selecting, by the server based on a rank of each correlation coefficient, a highest ranking healthcare related recommendation of the plurality of healthcare related recommendations configured to reduce resource consumption of information technology infrastructure by reducing the occurrence of denied transactions;
• retrieving, by the server responsive to selecting the highest ranking healthcare related recommendation, a notification template from a notification template data structure that maps to the highest ranking healthcare related recommendation;
• configuring, by the server, a notification engine with the notification template to generate a notification corresponding to the highest ranking healthcare related recommendation and configured to reduce a likelihood of future occurrences of the healthcare transaction event;
• generating, by the notification engine of the server, a request to deliver the notification corresponding to the highest ranking healthcare related recommendation at a destination address of a computing device of the participant;
• and
• transmitting, by the server to the computing device via a communication channel established between the server and the computing device, responsive to the request, the notification to the computing device of the participant to reduce a likelihood of future occurrences of the healthcare transaction event.