SYSTEM AND METHOD FOR SCORING THE PERFORMANCE OF HEALTHCARE ORGANIZATIONS

• US 20170372028A1
• Filed: 06/22/2016
• Published: 12/28/2017
• Est. Priority Date: 06/22/2016
• Status: Abandoned Application

• Current Assignee: Conduent Business Services, LLC (Conduent, Inc.)
• Original Assignee: Xerox Corporation (Xerox Holdings Corp.)
• Inventors: ZHOU, JING, SHEPHERD, MICHAEL D., QUEBE, JR., DENNIS F., ECHOLS, JENNIE, LI, FAMING, FU, LINA, WEN, XUEJIN, YAO, JINHUI
• Application Number:
  US15/189,859
• Publication Number:
  US 20170372028A1
• Time in Patent Office: Days
• CPC Class Codes: G16H 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

A method of evaluating managed care organizations (MCOs) includes acquiring medical data associated with patients'"'"' healthcare encounters with the MCOs, calculating a health risk score of a subpopulation using patient characteristic data included in the medical data, providing encounter data included in the medical data and the health risk score as input to analytic processes that track services provided by the MCOs, and generating a risk-adjusted performance metric of the MCOs by the analytic processes. The risk-adjusted performance metrics relate to categories of concern. The method further includes generating a standardized score for each of the risk-adjusted performance metrics based on a comparison of the subpopulation with an entire population, assigning a weight to each of the standardized scores based on an importance level of each category of concern, and generating a final score corresponding to a performance category for each of the MCOs based on the standardized scores.

Claims

1. A computer system configured to perform a method of evaluating managed care organizations (MCOs), the system comprising:

a memory storing a computer program; and

a processor configured to execute the computer program, wherein the computer program is configured to;

acquire medical data associated with patients'"'"' healthcare encounters with the MCOs, wherein the medical data comprises encounter data indicating a relation between services provided by the MCOs and the patients'"'"' healthcare encounters, and patient characteristic data indicating characteristics of the patients;

calculate a health risk score of a subpopulation using the patient characteristic data;

provide the encounter data and the health risk score as input to analytic modules existing in a library of analytic modules that track the services provided by the MCOs;

generate a risk-adjusted performance metric of the MCOs by each of the analytic modules, wherein each of the risk-adjusted performance metrics relates to a category of concern, and the risk-adjusted performance metrics are calculated using the encounter data and the health risk score;

generate a standardized score for each of the risk-adjusted performance metrics based on a comparison of the subpopulation with an entire population;

assign a weight to each of the standardized scores based on an importance level of each category of concern; and

generate a final score corresponding to a performance category for each of the MCOs based on the standardized scores.

2. The computer system of claim 1, wherein the computer program is further configured to:

compare each assigned weight to a threshold weight value, wherein each final score is equal to a sum of only the corresponding weighted standardized scores having an assigned weight higher than the threshold weight value.

3. The computer system of claim 1, wherein the weights are assigned in real-time by a user via a graphical user interface (GUI).

4. The computer system of claim 1, wherein the weights are preassigned by a domain expert.

5. The computer system of claim 1, wherein the computer program is configured to calculate the health risk score of the subpopulation by separately calculating an individual health risk score of each patient in the subpopulation, wherein the health risk score of the subpopulation is an average of the calculated individual health risk scores.

6. The computer system of claim 1, wherein the computer program is further configured to:

generate an overall score for each of the MCOs based on a plurality of final scores corresponding to a plurality of performance categories, wherein the generated final score is one of the plurality of final scores.

7. The computer system of claim 6, wherein the plurality of performance categories comprise at least one of a clinical score category, a financial score category, an operational score category, and a customer service score category.

8. The computer system of claim 1, wherein the standardized score is a z-score.

9. The computer system of claim 1, wherein the category of concern comprises one of emergency department utilization, hospital readmissions, demographic disparity in care, and chronic condition service utilization.

10. The computer system of claim 1, wherein the characteristic data comprises at least one of demographic data, physiological data, personal medical history data, family medical history data, mental health data, and lifestyle data.

11. The computer system of claim 1, wherein the standardized scores are generated using principal component analysis (PCA).

12. The computer system of claim 1, wherein the standardized scores are generated using one of factor analysis and nonnegative matrix factorization.

13. The computer system of claim 1, wherein each standardized score includes a confident interval.

14. The computer system of claim 1, wherein each final score is equal to a sum of the corresponding weighted standardized scores.

15. A method of evaluating managed care organizations (MCOs), comprising:

acquiring medical data associated with patients'"'"' healthcare encounters with the MCOs, wherein the medical data comprises encounter data indicating a relation between services provided by the MCOs and the patients'"'"' healthcare encounters, and patient characteristic data indicating characteristics of the patients;

calculating a health risk score of a subpopulation using the patient characteristic data;

providing the encounter data and the health risk score as input to analytic modules existing in a library of analytic modules that track the services provided by the MCOs;

generating a risk-adjusted performance metric of the MCOs by each of the analytic modules, wherein each of the risk-adjusted performance metrics relates to a category of concern, and the risk-adjusted performance metrics are calculated using the encounter data and the health risk score;

generating a standardized score for each of the risk-adjusted performance metrics based on a comparison of the subpopulation with an entire population;

assigning a weight to each of the standardized scores based on an importance level of each category of concern; and

generating a final score corresponding to a performance category for each of the MCOs based on the standardized scores.

16. The method of claim 15, further comprising:

comparing each assigned weight to a threshold weight value, wherein each final score is equal to a sum of only the corresponding weighted standardized scores having an assigned weight higher than the threshold weight value.

17. The method of claim 15, wherein calculating the health risk score of the subpopulation comprises:

separately calculating an individual health risk score of each patient in the subpopulation, wherein the health risk score of the subpopulation is an average of the calculated individual health risk scores.

18. A computer program product for evaluating managed care organizations (MCOs), the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:

acquire medical data associated with patients'"'"' healthcare encounters with the MCOs, wherein the medical data comprises encounter data indicating a relation between services provided by the MCOs and the patients'"'"' healthcare encounters, and patient characteristic data indicating characteristics of the patients;

calculate a health risk score of a subpopulation using the patient characteristic data;

provide the encounter data and the health risk score as input to analytic modules existing in a library of analytic modules that track the services provided by the MCOs;

generate a risk-adjusted performance metric of the MCOs by each of the analytic modules, wherein each of the risk-adjusted performance metrics relates to a category of concern, and the risk-adjusted performance metrics are calculated using the encounter data and the health risk score;

generate a standardized score for each of the risk-adjusted performance metrics based on a comparison of the subpopulation with an entire population;

assign a weight to each of the standardized scores based on an importance level of each category of concern; and

generate a final score corresponding to a performance category for each of the MCOs based on the standardized scores.

19. The computer program product of claim 18, wherein the program instructions further cause the processor to:

compare each assigned weight to a threshold weight value, wherein each final score is equal to a sum of only the corresponding weighted standardized scores having an assigned weight higher than the threshold weight value.

20. The computer program product of claim 18, wherein the processor is configured to calculate the health risk score of the subpopulation by separately calculating an individual health risk score of each patient in the subpopulation, wherein the health risk score of the subpopulation is an average of the calculated individual health risk scores.