Method and system for analyzing and displaying optimization of medical resource utilization

A system for optimization of medical resource utilization comprising:

• a computer configured to receive inpatient data directed to cost information for one or more service items for a plurality of discharges, for each of the plurality of discharges, classifying by a computer processor said received inpatient data into a plurality of Diagnosis Related Groups (DRG)s;
• the computer processor configured to generate a plurality of clusters of physicians via a k-means method, wherein the plurality of clusters of physicians is based on a utilization of the one or more service items for each of the plurality of DRGs, and generate the plurality of clusters iteratively to determine an optimal number of clusters based on an overall R-Square value, wherein a plurality of responsible physicians (RP)s with identical utilization across the one or more service items within each of the plurality of DRGs are assigned to the same cluster and for each utilization of the one or more service items with one of the plurality of DRGs, on a condition that the received inpatient data contains cost information at a service item level, determine a plurality of difference indexes across the plurality of clusters based on a cost incurred for utilization of the one or more service items;
• and
• a computer display configured to interactively display the plurality of difference indexes for each of the plurality of DRGs and the one or more service items having the greatest potential for cost savings, wherein user interaction with the interactive dashboard displaying the plurality of difference indexes causes display of the utilization across the one or more service items for each of the plurality of discharges for each of the one or more clusters.

A computer program product comprising at least one non-transitory computer readable medium storing instructions translatable by a computer to perform:

• a. receiving, by the computer, inpatient data directed to cost information for one or more service items for a plurality of discharges;
• b. for each discharge, classifying by the computer, said received inpatient data into a plurality of Diagnosis Related Groups (DRG)s;
• c. generating, by the computer, a plurality of clusters of physicians via a k-means method, wherein the plurality of clusters of physicians is based on a utilization of the one or more service items for each of the plurality of DRGs, and wherein the plurality of clusters are generated iteratively by the computer to determine an optimal number of clusters based on an overall R-Square value, wherein a plurality of responsible physicians (RP)s with identical utilization across the one or more service items within each of the plurality of DRGs are assigned to the same cluster;
• d. on a condition that the received inpatient data contains cost information at a service item level, for each utilization of the one or more service items with one of the plurality of DRGs, determining, by the computer, a plurality of difference indexes across the plurality of clusters of physicians based on a cost incurred for utilization of the one or more service items;
• and
• e. interactively displaying on a computer display in an interactive dashboard the plurality of difference indexes for each of the plurality of DRGs and the one or more services items having the greatest potential for cost savings, wherein user interaction with the interactive dashboard displaying the plurality of difference indexes causes display of the utilization across the one or more service items for each of the plurality of discharges for each of the one or more clusters.