SYSTEM AND METHOD FOR DISSEMINATION AND ASSESSMENT OF PERFORMANCE METRICS AND RELATED BEST PRACTICES INFORMATION

• US 20130173355A1
• Filed: 12/10/2012
• Published: 07/04/2013
• Est. Priority Date: 12/09/2011
• Status: Abandoned Application

• Current Assignee: Dabo Health, Inc.
• Original Assignee: Camilo Barcenas
• Inventors: Barcenas, Camilo
• Application Number:
  US13/710,408
• Publication Number:
  US 20130173355A1
• Time in Patent Office: Days
• US Class Current: 705/7.39
• CPC Class Codes: G06Q 10/06393 Score-carding, benchmarking or key performance indicator [KPI] analysis

Abstract

A software and/or hardware facility for assessing performance-related metrics (performance metrics) of a workplace or other entity and disseminating related best practices information for how to improve specific metrics is provided. The facility provides social networking and media services that enable users to find and share materials related to various performance metrics that can be used to improve quality of service and care. The facility provides an international collaborative performance management platform that aligns users on various metrics, objectives, and initiatives and identifies and highlights best practices information for those users to consume for purposes of increasing performance with respect to the various metrics, objectives, and initiatives. Thus, users may use the facility to track and share performance-related metric data, discuss this data with interested parties, and collaborate around this data and the related metrics to improve quality of service and care.

Claims

1. A method for assessing performance metrics and socializing best practices information comprising:

receiving, from each of a plurality of sources, performance metric data for each of a plurality of entities;

receiving, from each of a plurality of sources, best practices materials related to each of a plurality of performance metrics;

for each of a plurality of performances metrics, ranking each of the plurality of entities based on the performance metric data;

in response to receiving a request to access performance metrics data,

identifying a first entity associated with the user based at least in part on an email address associated with the user,

identifying professional peers of the user based at least in part on a job title associated with the user,

for each of a plurality of performance metrics, determining a rank for the first entity relative to other entities,

generating a first display page comprising an indication of the determined ranks and an indication of the identified professional peers, and

transmitting for display to the user the generated first display page; and

in response to receiving from the user a request to access performance data associated with a first performance metric,

identifying best practices materials associated with the first performance metric,

for each of the identified best practices materials, assigning a score to the best practices material based at least in part on the number of times that the best practices material has been shared,

ranking the identified best practices materials based on the assigned scores, and

generating a second display page comprising an indication of the performance of the first entity for the first performance metric and an indication of the highest ranked best practices material of the identified best practices materials.

2. The method of claim 1, further comprising:

generating a third display page for the first performance metric, the third display page comprising comments related to the first performance metric and a graphical representation of the performance of a plurality of entities with respect to the first performance metric.

3. The method of claim 2, wherein each of the comments is displayed in a separate panel of a panel stack wherein at least one panel stack is configured to be moved in response to being selected by the user.

4. The method of claim 1, wherein receiving performance metric data for a first entity comprises, receiving, for each of a plurality of services provided by the first entity, a success rate for the service provided.

5. The method of claim 1, wherein each of the plurality of entities is a medical facility.

6. The method of claim 1, further comprising:

in response to receiving from the user a request to access a profile page for the first entity, calculating an overall ranking for the first entity relative to a group of entities at least in part by,

identifying a plurality of performance metrics, and

for each of the identified plurality of performance metrics,

determining a rank of the first entity for the performance metric,

determining a number of entities having a score for the performance metric,

determining a weight for the performance metric, and

calculating a score based on the determined rank, the determined number of entities, and the determined weight;

calculating the overall ranking based on a sum of the calculated scores, the total number of entities in the group of entities, and the total number of identified metrics.

7. A computing system having a processor, the computing system comprising:

a component configured to receive performance data for each of a plurality of entities from a first data source;

a component configured to rank the plurality of entities according to each of a plurality of performance metrics;

a component configured to associate best practices materials with each of a plurality of performance metrics; and

a component configured to, in response to receiving a request from a user to access performance data for a first entity,

for each of a plurality of performance metrics,

determine a rank of the first entity for the performance metric,

identify performance metric targets defined for the first entity for the performance metric, and

identify best practices materials for the performance metric, and generate a first display page comprising an indication of the determined

ranks, an indication of identified performance metric targets, and an

indication of the identified best practices materials.

8. The computing system of claim 7, further comprising:

a component configured to rank the identified best practices materials at least in part by,

for each of the identified best practices materials,

determining the number of times that the best practices material has been liked,

for each user that liked the identified best practices material, determining a job title associated with that user, and

ranking the best practices materials based at least in part on the determined number of times that each practices materials have been liked and the determined job titles.

9. The computing system of claim 7, further comprising:

a component configured to determine a rank of a first entity for a first performance metric during a previous period;

a component configured to determine a rank of the first entity for the first performance metric during a current period;

a component configured to generate a second display page comprising an indication of the determined rank of the first entity for the first performance metric during the previous period, an indication of the determined rank of the first entity for the first performance metric during the current period, an indication of the highest-performing entity, and an indication of the lowest-performing entity.

10. The computing system of claim 7, wherein the component configured to receive performance data for each of a plurality of entities from the first data source is configured to receive an indication of the number of times that the first entity failed to comply with regulatory guidelines.

11. The computing system of claim 7, wherein each of the plurality of entities is a medical facility.

12. The computing system of claim 7, further comprising:

a component configured to generate a second display page for a first performance metric, the second display page comprising comments related to the first performance metric and a graphical representation of the performance of a plurality of entities with respect to the performance metric.

13. The computing system of claim 12, wherein the graphical representation of the performance of a plurality of entities with respect to the performance metric comprises, for each of a plurality of entities, an indication of a number of reported cases corresponding to the performance metric.

14. A computer-readable storage medium storing instructions that, if executed by a computing system, cause the computing system to perform operations comprising:

receiving performance data for at least one of a plurality of entities from a first data source;

ranking the plurality of entities according to at least one of a plurality of performance metrics;

associating best practices materials with at least one of a plurality of performance metrics; and

in response to receiving a request from a user to access performance data for a first entity,

for at least one of a plurality of performance metrics, determining a rank of the first entity for the performance metric, and identifying best practices materials for the performance metric, and

generating a first display page comprising an indication of the determined ranks and an indication of the identified best practices materials.

15. The computer-readable storage medium of claim 14, the operations further comprising:

for at least one of a plurality of performance metrics,

determining a first rank of the first entity for the performance metric during a first period, and

determining a second rank of the first entity for the performance metric during a second period;

identifying the performance metric for which the first entity had the largest improvement from the first period to the second period; and

generating a second display page comprising an indication of the identified performance metric for which the first entity had the largest improvement from the first period to the second period.

16. The computer-readable storage medium of claim 14, the operations further comprising:

identifying, from among the plurality of performance metrics, the performance metric for which the first entity has the highest ranking;

identifying, from among the plurality of performance metrics, the performance metric for which the first entity has the lowest ranking;

generating a second display page comprising an indication of the identified performance metric for which the first entity has the lowest ranking and an indication of the identified performance metric for which the first entity has the highest ranking.

17. The computer-readable storage medium of claim 14, wherein each of the plurality of entities is a hospital.

18. The computer-readable storage medium of claim 14, the operations further comprising:

generating a second display page for a first performance metric, the second display page comprising comments related to the first performance metric and a graphical representation of the performance of a plurality of entities with respect to the performance metric.

19. The computer-readable storage medium of claim 18, wherein the graphical representation of the performance of a plurality of entities with respect to the performance metric comprises an indication of a lowest performing entity, an indication of a highest performing entity, and an indication of a benchmark score.

20. The computer-readable storage medium of claim 14, the operations further comprising:

ranking the a plurality of entities at least in part by, for at least one of the plurality of entities,

identifying a plurality of performance metrics, and

for at least one of the identified plurality of performance metrics,

determining a rank of the entity for performance metric,

determining a number of the plurality of entities having a score for the performance metric,

determining a weight for the performance metric, and

calculating a score based on the determined rank, the determined number of entities, and the determined weight;

calculating an overall ranking for the entity based on a sum of the calculated scores, the total number of entities in the plurality of entities, and the total number of identified metrics.