METHOD FOR MEASURING RISKS AND OPPORTUNITIES DURING PATIENT CARE
A method maximizes the usefulness of resources to be allocated to a class of patients. The method includes the steps of receiving data on a patient. The date is then partitioned. From the partitioned data, a patient factor score calculation is calculated. In addition, a patient illness correlation score is calculated. From the patient factor score and patient illness correlation score, an Ability to Impact score for each patient is generated to identify uses of resources by which the resources will be applied to the patient to maximize the effectiveness of the resources.
1 . A method for maximizing usefulness of resources to be allocated to a class of patients, the method comprising the steps of:
receiving data on a patient;
partitioning the data;
calculating a patient factor score calculation;
calculating a patient illness correlation score calculation; and
generating an index for each patient to identify use of resources by which the resources will be applied to the patient to maximize the effectiveness of the resources.
2 . A method as set forth in claim 1 wherein the step of receiving data includes the step of receiving data from a plurality of disparate sources.
3 . A method as set forth in claim 2 including the step of normalizing the data received from the plurality of disparate sources.
4 . A method as set forth in claim 3 including the step of transmitting the index back to the plurality of disparate sources.
5 . A method as set forth in claim 1 wherein the step of calculating a patient factor score calculation includes the step of incorporating a logistic regression to maximize the accuracy of the patient factor score calculation.
6 . A method as set forth in claim 5 wherein the step of incorporating the logistic regression includes the use of LogitBoost to optimize the patient factor score calculation.
7 . A method as set forth in claim 1 wherein calculating the patient illness correlation score calculation includes the step of using a correlation model to operate on the data to create correlated data.
8 . A method as set forth in claim 7 including the step of operating on the correlated data using a recursive Chi-Squared ranking system.
9 . A method as set forth in claim 2 including the step of transforming the data from plurality of disparate sources into a transformed data set that can be utilized by the method.
10 . A method as set forth in claim 9 including the step of normalizing the transformed data set to create a normalized data set.