1. A method comprising: analyzing data comprising information associated with a health care entity, said data comprising clinical data associated with one or more patients currently within the health care entity, wherein at least some of the data is generated in real-time during an actual time in which one or more events occur; using at least a portion of the data to generate one or more predictions regarding one or more conditions to occur in the future that are associated with one or more resources of the entity; analyzing, via a processor, one or more results of the predictions and recommending an allocation of at least one of the one or more resources on the basis of the results; determining that one of the one or more conditions corresponds to a number of patient transfers and a number of patient discharges during a predetermined time period in the future; determining that another of the conditions corresponds to a number of beds or rooms in one or more units of the entity that will be available at a predetermined time or during a predetermined time period in the future; determining that another of the conditions corresponds to one or more levels of congestion within one or more units of the entity, the congestion corresponds to a number of patients assigned to a respective unit, the levels of congestion being determined based in part on a comparison of at least a subset of the number of the beds or rooms that are determined as unoccupied by a patient to a predetermined threshold signifying a level of patient congestion for the respective unit; determining that the respective unit is congested with patients in an instance in which the number of the beds or the rooms that are determined as unoccupied is below the predetermined threshold; utilizing at least one of the levels of congestion to determine whether to assign one or more other patients to another respective unit of the entity; and generating at least one recommendation of a number of persons to schedule for providing medical care for a time period in the future for the patients in at least one of the units based in part on a prediction of a number of patients expected to occupy the unit during the time period in the future, wherein the number of persons to schedule and the prediction of the number of patients is determined based in part on analyzing historical data indicating an average patient to medical personnel ratio within the unit during a corresponding time period in the past.