1. A computer hardware-implemented method of matching a current patient to a specific patient readmission cohort, the computer hardware-implemented method comprising: receiving, by one or more computer processors, from a first database, a first set of binary data that describes a shared attribute of patients of a specific patient readmission cohort and a historical likelihood of hospital readmission within a predefined post-discharge length of time; determining, by one or more computer processors, a first cost/speed/probability parameter for a second database, wherein the first cost/speed/probability parameter comprises a first minimum probability that the second database contains a second set of binary data that describes a current patient attribute for a current patient, wherein the first minimum probability is less than 100% but greater than 50%, and wherein the first cost/speed/probability parameter further comprises a first maximum cost and a first minimum speed to access the second database; assigning, by one or more computer processors, a first point value to the first cost/speed/probability parameter; determining, by one or more computer processors, that the first cost/speed/probability parameter meets or exceeds a first threshold for the first point value; in response to the first cost/speed/probability parameter meeting or exceeding the first threshold for the first point value, retrieving, by one or more computer processors, the second set of binary data from the second database; assigning, by one or more computer processors, a second point value to the second binary data based on the amount of information contained in the second binary data; determining, by one or more computer processors, that the second binary data does not meet or exceed a second threshold for the second point value; in response to the second binary data failing to meet or exceed the second threshold for the second point value: determining, by one or more computer processors, a second cost/speed/probability parameter for a third database, wherein the second cost/speed/probability parameter comprises a second minimum probability that the third database contains a third set of binary data that describes the current patient attribute for the current patient, wherein the second minimum probability is less than 100% but greater than 50%, and wherein the second cost/speed/probability parameter further comprises a second maximum cost and a second minimum speed to access the third database; assigning, by one or more computer processors, a third point value to the second cost/speed/probability parameter; determining, by one or more computer processors, that the second cost/speed/probability parameter meets or exceeds a third threshold for the third point value; in response to the second cost/speed/probability parameter meeting or exceeding the third threshold for the third point value, retrieving, by one or more computer processors, the third set of binary data from the third database; assigning, by one or more computer processors, a fourth point value to the third binary data based on the amount of information contained in the third binary data; summing, by one or more computer processors, the second and fourth point values; determining, by one or more computer processors, that the summation of the second and fourth point values exceeds a fourth threshold; in response to determining that the summation of the second and fourth point values exceeds the fourth threshold, placing, by one or more computer processors, the current patient into the specific patient readmission cohort; and recommending, by one or more computer processors, an amelioration based on the specific patient readmission cohort to reduce a likelihood of hospital readmission of the current patient within the predefined post-discharge length of time.