Systems and methods for prediction based care recommendations

A healthcare prediction server for providing prediction based healthcare recommendations, the healthcare prediction server comprising a processor and a memory, wherein the processor is configured to:

• in response to receiving an emergency room services request from a client device associated with a patient,
• create a predictive analytics model configured to provide a score indicating a likelihood that the emergency room services request is associated with an avoidable visit, the emergency room services request including a requestor location, a requestor identifier, and requestor symptoms;
• train the one or more predictive models using first data collected from health records over a first time period, to create trained models;
• validate the trained models using second data collected from the health records over a second time period, to create validated models, the first time period comprising a duration longer than the second time period, and the first time period comprising an age older than the second time period;
• determine that supplemental information is needed to predict whether an emergency room visit is avoidable, using the predictive analytics model;
• and
• in response to supplemental information being needed,
• transmit a prompt to the client device associated with a patient, the prompt including a supplemental question;
• receive a response to the supplemental question, from the client device;
• designate the response as a feature;
• weight the feature with an associated weight;
• apply the predictive analytics model to the feature with the associated weight to score the likelihood that the emergency room visit is avoidable and create a scored likelihood;
• generate a prediction based on the predictive analytics model and the scored likelihood;
• and
• route a request to an alternative services provider or an emergency room services provider, based on the prediction.