Methods for quality data extraction, alignment, and reporting

Abstract

A method according to a set of instructions stored on the memory of a computing device includes receiving from a plurality of measure storage devices, by a processor of the computing device, a plurality of measures pertaining to at least one patient and at least one clinical measure of the at least one patient. The plurality of measure storage devices are associated with at least one of a plurality of healthcare providers. The method further includes determining, by the processor, a patient-centered quality measure indicating quality across the plurality of healthcare providers with respect to the at least one patient and the at least one clinical measure.

What is claimed is: 
     
         1 . A method according to a set of instructions stored on the memory of a computing device, the method comprising:
 receiving from a plurality of measure storage devices, by a processor of the computing device, a plurality of measures pertaining to at least one patient and at least one clinical measure of the at least one patient, wherein each of the plurality of measure storage devices are associated with at least one of a plurality of healthcare providers; and   determining, by the processor, a patient-centered quality measure indicating quality across the plurality of healthcare providers with respect to the at least one patient and the at least one clinical measure.   
     
     
         2 . The method of  claim 1 , wherein the plurality of measures are formatted according to a Quality Reporting Document Architecture (QRDA) format. 
     
     
         3 . The method of  claim 1 , further comprising determining one combined quality measure for the at least one patient. 
     
     
         4 . The method of  claim 1 , further comprising determining quality measures for a plurality of patients in multiple settings of care with multiple providers. 
     
     
         5 . The method of  claim 4 , further comprising calculating a populating-centric quality measuring outcomes for multiple patients in a population. 
     
     
         6 . The method of  claim 4 , wherein the quality measures are based on standards-based quality measure information configured to be communicated to a plurality of systems. 
     
     
         7 . The method of  claim 1 , where the plurality of measures comprise data necessary to compute quality measures. 
     
     
         8 . The method of  claim 1 , further comprising obtaining data for multiple patients in a patient population with common health issues and determining how the multiple patients scored on measures related to the common health issues in every care setting by clinic, city and state. 
     
     
         9 . A method according to a set of instructions stored on the memory of a computing device, the method comprising:
 receiving from a plurality of measure storage devices, by a processor of the computing device, a plurality of measures pertaining to a plurality of patients and at least one clinical measure of the plurality of patients, wherein each of the plurality of measure storage devices are associated with at least one of a plurality of healthcare providers; and   determining, by the processor, a population-centered quality measure indicating quality across the plurality of healthcare providers with respect to the plurality of patients and the at least one clinical measure.   
     
     
         10 . The method of  claim 9 , wherein the plurality of measures are formatted according to a Quality Reporting Document Architecture (QRDA) format. 
     
     
         11 . The method of  claim 9 , wherein the plurality of measures are formatted according to a Blue Care Network (BCN) format. 
     
     
         12 . The method of  claim 11 , further comprising converting the plurality of measures from the BCN format to a Quality Reporting Document Architecture (QRDA) format. 
     
     
         13 . The method of  claim 12 , further comprising sending the plurality of measures converted to the QRDA format to a plurality of payer devices. 
     
     
         14 . The method of  claim 9 , wherein the plurality of measures comprises a common key that uniquely identifies each of the plurality of patients. 
     
     
         15 . An apparatus comprising:
 a memory;   a processor coupled to the memory; and   a set of instructions stored on the memory and configured to be executed by the processor, wherein the processor is configured to:
 receive from a plurality of measure storage devices a plurality of measures pertaining to at least one patient and at least one clinical measure of the at least one patient, wherein each of the plurality of measure storage devices are associated with at least one of a plurality of healthcare providers; and 
 determine a patient-centered quality measure indicating quality across the plurality of healthcare providers with respect to the at least one patient and the at least one clinical measure. 
   
     
     
         16 . The apparatus of  claim 15 , wherein the processor is further configured to determine one combined quality measure for the at least one patient. 
     
     
         17 . The apparatus of  claim 15 , wherein the processor is further configured to determine quality measures for a plurality of patients in multiple settings of care with multiple providers. 
     
     
         18 . The apparatus of  claim 17 , wherein the processor is further configured to calculate a populating-centric quality measuring outcomes for multiple patients in a population. 
     
     
         19 . The apparatus of  claim 17 , wherein the quality measures are based on standards-based quality measure information configured to be communicated to a plurality of systems. 
     
     
         20 . The apparatus of  claim 15 , wherein the processor is further configured to obtain data for multiple patients in a patient population with common health issues and determine how the multiple patients scored on measures related to the common health issues in every care setting by clinic, city and state.