Smart clustering and cluster updating

A method comprising:

• retrieving clinic data from a clinic information database implemented on one or more storage devices, the clinic data characterizing each of a plurality of medical practice clinics, the clinic data including medical practice data indicating one or more medical practice characteristics of the respective medical practice clinic;
• at a clinic data cluster engine implemented on a processor, determining a respective plurality of clinic clusters based on the clinic information for each of a plurality of clustering mechanisms, each clinic cluster including a respective subset of the plurality of clinic, the respective subset of the plurality of clinics sharing similar clinic information;
• and
• at a clinic data analytics engine, evaluating the performance of each of the plurality of clustering mechanisms to produce a respective performance evaluation by determining a respective predicted outcome variable for each of the respective clustering mechanisms and each of the respective clinic clusters and comparing each of the respective predicted outcome variable with a respective observed outcome variable.

One or more computer readable media having instructions stored thereon for performing a method, the method comprising:

• retrieving clinic data from a clinic information database implemented on one or more storage devices, the clinic data characterizing each of a plurality of medical practice clinics, the clinic data including medical practice data indicating one or more medical practice characteristics of the respective medical practice clinic;
• at a clinic data cluster engine implemented on a processor, determining a respective plurality of clinic clusters based on the clinic information for each of a plurality of clustering mechanisms, each clinic cluster including a respective subset of the plurality of clinic, the respective subset of the plurality of clinics sharing similar clinic information;
• and
• at a clinic data analytics engine, evaluating the performance of each of the plurality of clustering mechanisms to produce a respective performance evaluation by determining a respective predicted outcome variable for each of the respective clustering mechanisms and each of the respective clinic clusters and comparing each of the respective predicted outcome variable with a respective observed outcome variable.