COMMUNITY HEALTH SCORING TOOL

• US 20160026771A1
• Filed: 12/10/2014
• Published: 01/28/2016
• Est. Priority Date: 07/24/2014
• Status: Active Grant

• Current Assignee: Optum Incorporated (UnitedHealth Group Incorporated)
• Original Assignee: Optum Incorporated (UnitedHealth Group Incorporated)
• Inventors: Simon, Carol Jean, Bleicher, Paul A, Hargraves, John Edward, Wallace, Paul John
• Granted Patent: US 10,438,701 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A system and method for scoring and comparing communities includes the development of community health measures by on combining and supplementing healthcare data and community data from numerous sources. The community health measures may be stored in a community health measures database and may be accessed by interactive tools to generate customized representations of healthcare measures for selected communities. The representations are automatically computed in response to interactive user selections. Geographic map representation, heat map representations and data tables may be automatically generated to identify correlations between health outcomes and population attributes in different communities.

Claims

1. A method for measuring community health care attributes, comprising:

storing a first collection of health care data in one or more electronic storage systems, the first collection including a plurality of health outcomes for health care consumers in a plurality of communities;

associating the health care outcomes for each consumer with one or more of the communities to generate a community health care database;

storing a second collection of community data in the one or more electronic data storage systems, the second collection including a plurality of population attributes that characterize the health care consumers in each of the communities;

identifying a correlation between one or more of the health care outcomes and one or more of the population attributes by accessing the first collection of health care data and the second collection of community data; and

representing the correlation to a user.

2. The method of claim 1, wherein the second collection further includes a plurality of population attributes that characterizes a system of healthcare, a healthcare infrastructure, and/or a healthcare environment in each of the communities.

3. The method of claim 1, further comprising:

assigning an outcome rank to each of the health care outcomes based on a predetermined hierarchy of outcomes to generate an enhanced community health care database; and

representing one or more of the communities in association with one or more corresponding outcome ranks assigned to a respective healthcare outcome in the respective community.

4. The method of claim 1,

assigning a population attribute rank to each of the population attributes, and

representing one or more of the communities based on the ranking of one or more of the population attributes associated with the respective communities.

5. The method of claim 1, comprising:

computing a correlation between selected health care outcomes with selected population attributes; and

identifying similar communities based on a result of the correlating.

6. The method of claim 5, comprising:

receiving an input that selects one or more of the population attributes and/or one or more of the health care outcomes;

interactively computing the correlation in response to receiving the input.

7. The method of claim 1 in which the plurality of health care outcomes include measures of health care cost, health care quality, and population health.

8. The method of claim 1, in which the population attributes include measure of social capital, economics, demographics, health behaviors, health care provider capacity, health care provider incentives, integration and alignment of health care providers, and health information technology.

9. A system for measuring health care related characteristics of a population segment, comprising:

one or more electronic data storage systems coupled to one or more health care networks;

a community health care database stored in the one or more electronic data storage systems, the community health care database including a first collection of health care data, the first collection including a plurality of health outcomes for health care consumers in a plurality of communities, wherein the health care outcomes for each consumer are associated with one or more of the communities;

a second collection of community data stored in the one or more electronic data storage systems, the second collection including a plurality of population attributes that characterize the health care consumers in each of the communities; and

one or more processors coupled in electronic communication with the one or more electronic data storage systems, the one or more processors configured for;

receiving a first interactive input that selects one or more of the health care outcomes and/or one or more of the population attributes,

identifying a correlation between the selected health care outcomes and one or more of the population attributes by accessing the first collection of health care data and the second collection of community data in response to receiving the interactive inputs, and

representing the correlation to a user.

10. The system of claim 9, wherein the one or more processors are configured to:

assign a population attribute rank to each of the population attributes, and

represent one or more of the communities based on the ranking of one or more of the population attributes associated with the respective communities.

11. The system of claim 10, wherein the one or more processors are configured to:

assign an outcome rank to each of the health care outcomes based on a predetermined hierarchy of outcomes to generate an enhanced community health care database; and

represent one or more of the communities in association with one or more corresponding outcome ranks assigned to a respective healthcare outcome in the respective community.

12. The method of claim 9, wherein the one or more processors are configured to

identify similar communities based on a result of the correlating.

13. The system of claim 9, wherein the one or more processors are configured to

interactively compute the correlation in response to receiving the input.

14. The system of claim 9, wherein the plurality of health care outcomes include measures of health care cost, health care quality, and population health.

15. The system of claim 9, wherein the population attributes include measure of consisting of social capital, economics, demographics, health behaviors, health care provider capacity, health care provider incentives, integration and alignment of health care providers, and health information technology.

16. A method of measuring community health care characteristics, comprising:

receiving one or more health care outcomes for each of a plurality of communities;

automatically scoring each of the communities based on the corresponding health care outcomes; and

displaying a representation of the communities arranged based on their score.

17. The method of claim 16, further comprising:

receiving one or more population attributes that characterize the health care consumers in each of the plurality of communities; and

displaying in indication of the corresponding population attributes in the representation of the communities.

18. The method of claim 17, comprising:

receiving an input that selects one or more of the population attributes and one or more of the health care outcomes; and

interactively displaying a geographical representation of a relationship between the selected population attributes and the selected health care outcomes in response to receiving the input.

19. The method of claim 17, comprising:

receiving an input that selects a plurality of the population attributes; and

interactively displaying a heat map representation of health care measures based on the selected population attributes for each of a number of communities in response to receiving the input.

20. The method of claim 19, comprising:

generating clustering information defining relationships between the displayed health care measures; and

rearranging the heat map representation based on the clustering information.

21. A method for measuring community health care attributes, comprising:

storing a first collection of community data in the one or more electronic data storage systems, the first collection including a plurality attributes that characterize health care consumers in each of a plurality of communities;

associating the attributes that characterize the health care consumers with one or more of the communities to generate a health care community population attribute database;

identifying a correlation between a first one of the attributes in a community and a second one of the attributes in the community by accessing the health care community population attribute database; and

representing the correlation to a user.

22. A method for measuring community health care attributes, comprising:

storing a first collection of health care data in one or more electronic storage systems, the first collection including a plurality of health outcomes for health care consumers in a plurality of communities; and

associating the health care outcomes for each consumer with one or more of the communities to generate a community health care database.

23. The method of claim 22, further comprising:

identifying a correlation between a first one of the health care outcomes associated with a community and a second one of the health care outcomes associated with the community; and

representing the correlation to a user.

24. The method of claim 22, further comprising:

and

storing a second collection of community data in the one or more electronic data storage systems, the second collection including a plurality of population attributes that characterize the health care consumers in each of the communities;

identifying a correlation between a first one of the population attributes and a second one of the population attributes; and

representing the correlation to a user.

25. The method of claim 22 wherein the plurality of health care outcomes are grouped into a plurality of categories, the categories comprising measures of health care cost, measures of health care quality, and measures of population health.

26. The method of claim 22, further comprising statistically processing the plurality of health care outcomes to generate a plurality of categories of health care outcomes.

27. The method of claim 22, wherein the population attributes are grouped into a plurality of categories, the categories comprising measure of social capital, measures of economics, measures of demographics, measures of health behaviors, measures of health care provider capacity, measures of health care provider incentives, measures of integration of health care providers, measures of alignment of health care providers, and measures of health information technology.

28. The method of claim 22, further comprising statistically processing the plurality of population attributes to generate a plurality of categories of population attributes.

29. The method of claim 22, further comprising:

and

storing a second collection of community data in the one or more electronic data storage systems, the second collection including a plurality of population attributes that characterize the health care consumers in each of the communities;

identifying a correlation between one or more of the health care outcomes and one or more of the population attributes by accessing the first collection of health care data and the second collection of community data; and

representing the correlation to a user.

30. The method of claim 29, wherein the second collection further includes a plurality of population attributes that characterizes a system of healthcare, a healthcare infrastructure, and/or a healthcare environment in each of the communities.

31. The method of claim 29, further comprising:

assigning an outcome score to each of the health care outcomes based on a predetermined hierarchy of outcomes; and

computing a composite outcome score for each community by statistically combining the outcome scores in each community respective community.

32. The method of claim 31, further comprising:

representing one or more of the communities based a respective composite outcome score of the respective communities.

33. The method of claim 31, further comprising:

assigning a population attribute score to each of the population attributes, and

computing a composite population attribute score for each community by statistically combining the population attribute scores in each respective community.

34. The method of claim 33, further comprising:

representing one or more of the communities based on the composite population attribute score of the respective communities.

35. The method of claim 33, further comprising:

computing a community efficiency score by statistically comparing the composite population attribute score of the community with the composite outcome score of the community.

37. The method of claim 33, comprising:

displaying a geographical representation of a relationship between selected health outcomes and/or selected population attributes.

38. The method of claim 33, comprising:

displaying a heat map representation of health care measures based on selected health care outcomes and/or selected population attributes, the heat map representation including composite outcome score indication and/or a composite population attribute score indication for each of a plurality of the communities.

39. The method of claim 38, comprising:

computing clustering information that defines relationships between the displayed health care measures; and

rearranging the heat map representation based on the clustering information.

36. The method of 33, further comprising:

computing community efficiency scores for each of a plurality of communities by statistically comparing the composite population attribute score of each of the plurality of communities with the composite outcome score of each respective one of the plurality of communities; and

displaying the community efficiency scores for each of the plurality of communities.