Determining health service performance via a health exchange

A method for determining provider rankings in a health exchange, the method comprising:

• receiving a set of patient data for patients, the set of patient data corresponding to a time interval of treatment of the patients by a population of clinicians;
• receiving performance data for the population of clinicians based on the set of patient data and the time interval;
• determining, by distributing and performing parallelized determinations among a plurality of processors at multiple locations, a provider ranking in the health exchange, wherein the parallelized determinations among the plurality of processors at the multiple locations comprises:
• determining explanatory attributes to be included as independent variables in a classification model;
• determining the classification model using the explanatory attributes and the performance data;
• and
• based on the classification model, determining the provider ranking;
• and
• utilizing the provider ranking in the health exchange.

A computerized system for determining provider rankings in a fantasy health exchange, the system comprising:

• at least one processor;
• and
• at least one computer storage media storing computer-useable instructions that, when executed by the at least one processor, cause the system to:
• determine a set of patient data for patients, the set of patient data corresponding to a time interval of treatment of the patients by a population of clinicians;
• retrieve performance data for the population of clinicians based on the set of patient data and the time interval;
• determine, by distributing and performing parallelized determinations among a plurality of processors at multiple locations, a provider ranking in the fantasy health exchange, wherein the parallelized determinations among the plurality of processors at the multiple locations comprises:
• determine explanatory attributes to be included as independent variables in a classification model;
• determine the classification model using the explanatory attributes and the performance data;
• and
• based on the classification model, determine the provider ranking;
• and
• utilize the provider ranking in the fantasy health exchange.