SYSTEM FOR ADAPTING HEALTHCARE DATA AND PERFORMANCE MANAGEMENT ANALYTICS

• US 20170169173A1
• Filed: 12/09/2016
• Published: 06/15/2017
• Est. Priority Date: 12/09/2015
• Status: Abandoned Application

• Current Assignee: Cedar Gate Partners LLC (Cedar Gate Partners Holdings LLC)
• Original Assignee: Cedar Gate Partners LLC (Cedar Gate Partners Holdings LLC)
• Inventors: Snow, JR., David B., Nickerson, Christian, Brown, Kenneth, Davis, Joshua, Karamchandani, Aarti, Shin, Key, Zander, Stephen, Pardes, Michael
• Application Number:
  US15/374,258
• Publication Number:
  US 20170169173A1
• Time in Patent Office: Days
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G16H 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms

Abstract

Methods and systems for monitoring and managing healthcare performance. The system comprises one or more network interfaces configured to provide access to a network and one or more data processing servers coupled to the one or more network interfaces to enable communication with one or more healthcare manager devices. The one or more data processing servers to execute instructions to receive healthcare data from a plurality of data source devices over the network, extract patient medical data from the received healthcare data, group the patient medical data according to episodes of care, analyze the patient medical data to determine variances, generate prescriptive opportunity scripts to reduce the determined variances, add the prescriptive opportunity scripts to a playbook, and generate output corresponding to the analysis and the playbook to the one or more healthcare manager devices.

Claims

1. A system for facilitating improved monitoring and managing healthcare performance, the system comprising:

one or more network interfaces configured to provide access to a network and to enable communication with one or more healthcare manager devices; and

one or more data processing servers coupled to the one or more network interfaces, the one or more data processing servers configured to execute instructions for;

receiving healthcare data from a plurality of data source devices over the network;

extracting medical data from the received healthcare data regarding a plurality of patient procedures performed by a plurality of healthcare providers;

grouping the extracted medical data according to one or more predefined patterns;

executing an analytic engine for analyzing the grouped medical data to determine statistical variations in cost or quality of the patient procedures performed by the healthcare providers and to identify one or more of the healthcare providers responsible for statistically significant variations;

executing a plurality of opportunity advisor modules to generate prescriptive opportunities for reducing the determined statistical variations associated with the identified one or more healthcare providers;

storing the prescriptive opportunities as plays in a playbook module; and

generating output of the analytics engine and playbook module to transmit to the one or more healthcare manager devices.

2. The system of claim 1 wherein receiving healthcare data comprises receiving one or more of the following:

group health service transaction data, patient medical data, provider data, health plan data, provider contract data, lab data, pharmacy data, market trend data, reference data, payment data, patient demographic and enrollment data, benefit plan data, and claim reimbursement data.

3. The system of claim 1, wherein grouping comprises grouping the extracted medical data according to episodes of care based on clinically related activities in the extracted medical data.

4. The system of claim 3, wherein grouping further comprises grouping the episodes of care into clinical pathways.

5. The system of claim 4, wherein executing the analytical engine comprises arranging episodes within each clinical pathway by patient risk stratifications to generate healthcare provider clinical pathway benchmark data and analyzing the healthcare provider clinical pathway benchmark data to derive an expected value for each clinical pathway.

6. The system of claim 5, wherein executing the analytical engine comprises:

collecting groups of episodes of care based on common clinical characteristics;

creating a multivariate regression model for each group of episodes of care using as predictive variables patient age, gender, co-morbidities, and severity of illness for a specific clinical condition and using as a response variable a cost of the episode of care; and

calculating expected savings as a difference between the episode cost and predicted costs.

7. The system of claim 6, wherein executing the analytical engine further comprises:

generating a credibility interval for outputs of the multivariate regression model; and

capping an upside and downside of the calculated expected savings to the credibility interval.

8. The system of claim 6, wherein collecting groups of episodes of care comprises removing any services not clearly related to a condition from each episode of care.

9. The system of claim 3, wherein executing the analytics engine comprises determining statistical variations in cost or quality of the episodes of care.

10. The system of claim 9 wherein at least one of the opportunity advisor modules generates prescriptive opportunities for reducing unnecessary costs or recovering lost revenue by the identified one or more healthcare providers during episodes of care.

11. The system of claim 9 wherein at least one of the opportunity advisor modules generates prescriptive opportunities for improving clinical procedures by the identified one or more healthcare providers during episodes of care.

12. The system of claim 9 wherein at least one of the opportunity advisor modules generates prescriptive opportunities for improving operational efficiencies during episodes of care.

13. The system of claim 9, wherein at least one of the opportunity advisor modules is a financial contract advisor module which reports and forecasts performance of a financial contract involving a healthcare payer based on identified cost savings opportunities represented by one or more plays in the playbook module.

14. The system of claim 13, wherein the financial contract advisor module reports on a contract'"'"'s performance by generating an annual operating plan from plays stored in the playbook and benchmarks for the contract, and wherein the financial contract advisor module performs financial contract forecasting by identifying a set of selected opportunities, reflecting each selected opportunity'"'"'s expected contribution, adjusting such contributions over time to reflect actual versus planned completion of the selected opportunities, and predicting a final level of success for such selected opportunities as compared to stored forecast medical costs for services represented in the plays.

15. The system of claim 3 wherein the analytics engine analyzes relationships between primary care providers and attributed providers during episodes of care.

16. The system of claim 1 wherein at least one of the opportunity advisor modules generates prescriptive opportunities for a given healthcare provider and generate a set of plays for the given healthcare provider in the playbook.

17. The system of claim 1, wherein at least one of the opportunity advisor modules comprises a network leakage module that identifies patient behavior in and outside of a healthcare system'"'"'s network and generates prescriptive opportunities to decrease an amount of healthcare services provided outside of the network.

18. The system of claim 17, wherein the network leakage module:

gathers a collection of trigger events from processed claims on healthcare services;

performs a time series analysis of the processed claims to determine provider referring events;

aggregates services provided during the triggering events and classifies the aggregated services based on network relationships of the provider delivering them; and

generates data representing a ratio of the classified services to a total amount of all services.

19. The system of claim 1 wherein the generated output comprises a graphical user interface that is accessible via a web-based feature, a software application, or a cloud computing service.

20. A system for monitoring and managing healthcare performance, the system comprising:

a data aggregator that collects healthcare data from one or more data source systems and groups the healthcare data into sets based on episodes of care;

an analytic engine module configured to analyze the aggregated and grouped healthcare data to determine statistical variations in cost or quality of the patient procedures performed by the healthcare providers and to identify one or more of the healthcare providers responsible for statistically significant variations in the grouped episodes of care;

a plurality of opportunity advisor modules configured to generate prescriptive opportunities for reducing the determined statistical variations associated with the identified one or more healthcare providers;

a performance monitoring component configured to generate performance data based on the healthcare data, and generate graphical user interface data based on the performance data, the analysis of the healthcare data, execution of the at least one advisor logic, and a playbook, the graphical user interface accessible via a network and enables user access to the performance data, the at least one advisor logic, and the playbook; and

a playbook module configured to generate scripts associated with the created opportunities, create the playbook, and add a selection of the scripts to the playbook.

21. The system of claim 20 wherein the healthcare data includes health service transactions, patient medical data, provider data, health plan data, provider contract data, lab data, pharmacy data, market trend data, reference data, payment data, patient demographic and enrollment data, benefit plan data, and reimbursement data.

22. The system of claim 20 wherein the graphical user interface is accessible via a web-based feature, a software application, or a cloud computing service.

23. The system of claim 20 wherein the opportunity advisor modules include a clinical advisor module, a network referral advisor module, an inpatient advisor module, and a provider advisor module.

24. The system of claim 20 wherein the analytic engine module is further configured to analyze clinically related activities during episodes of care and evaluate unnecessary costs.

25. The system of claim 20 wherein the analytic engine module is further configured to analyze relationships between primary care providers and attributed providers.

26. The system of claim 20 wherein the analytic engine module is further configured to:

identify an overall scope of prescriptive opportunities, for a given provider, from a plurality of clinical pathways and a plurality of advisor logics; and

summarize a playbook campaign engagement of the given provider.

27. The system of claim 20 wherein the performance monitoring component is further configured to monitor performance of the created opportunities associated with the selection of scripts added to the playbook.

28. The system of claim 20 wherein the performance data includes contract financial performance, clinical performance, and operational performance.

29. The system of claim 28 wherein at least one of the opportunity advisor modules comprises a financial contract advisor module which reports and forecasts performance of a financial contract involving a healthcare payer based on identified cost savings opportunities and forecast medical cost trend data.

30. The system of claim 20 wherein the analytics models engine is further configured to compare performance data, generate cost distributions, and determine an optimal intersection between cost and quality of care.

31. The system of claim 20 wherein at least one of the opportunity advisor modules comprises a network leakage module that identifies patient behavior in and outside of a healthcare system'"'"'s network, aggregates and classifies services based on network relationships of the provider delivering them, generates data representing a ratio of the classified services to a total amount of all services, and generates prescriptive opportunities to decrease an amount of healthcare services provided outside of the network.

32. A method for monitoring and managing healthcare performance, the method performed by a server connected to a network and in communication over the network with a plurality of data source devices providing healthcare data and one or more healthcare manager devices, the method comprising:

receiving healthcare data from the data source devices over the network;

extracting medical data from the received healthcare data regarding a plurality of patient procedures performed by a plurality of healthcare providers;

grouping the extracted medical data according to episodes of care based on clinically related activities in the extracted medical data and grouping the episodes of care into clinical pathways;

executing an analytic engine for analyzing the grouped medical data to determine statistical variations in cost or quality of the patient procedures performed by the healthcare providers and to identify one or more of the healthcare providers responsible for statistically significant variations;

executing a plurality of opportunity advisor modules to generate prescriptive opportunities for reducing the determined statistical variations associated with the identified one or more healthcare providers; and

transmitting output of the analytics engine to the one or more healthcare manager devices.

33. The method of claim 32, wherein executing the analytical engine comprises arranging episodes within each clinical pathway by patient risk stratifications to generate healthcare provider clinical pathway benchmark data and analyzing the healthcare provider clinical pathway benchmark data to derive an expected value for each clinical pathway.

34. The method of claim 33, wherein executing the analytical engine comprises:

collecting groups of episodes of care based on common clinical characteristics;

creating a multivariate regression model for each group of episodes of care using as predictive variables patient age, gender, co-morbidities, and severity of illness for a specific clinical condition and using as a response variable a cost of the episode of care; and

calculating expected savings as a difference between the episode cost and predicted costs.

35. The method of claim 34, wherein executing the analytical engine further comprises:

generating a credibility interval for outputs of the multivariate regression model; and

capping an upside and downside of the calculated expected savings to the credibility interval.

36. The method of claim 34, wherein collecting groups of episodes of care comprises removing any services not clearly related to a condition from each episode of care

37. The method of claim 32 comprising executing at least one of the opportunity advisor modules to generate prescriptive opportunities for reducing unnecessary costs or recovering lost revenue by the identified one or more healthcare providers during episodes of care.

38. The method of claim 32 comprising executing at least one of the opportunity advisor modules to generate prescriptive opportunities for improving clinical procedures by the identified one or more healthcare providers during episodes of care.

39. The method of claim 32 comprising executing at least one of the opportunity advisor modules to generate prescriptive opportunities for improving operational efficiencies during episodes of care.

40. The method of claim 32 comprising executing a financial contract opportunity advisor module to report and forecast performance of a financial contract involving a healthcare payer based on identified cost savings opportunities.

41. The method of claim 40, wherein executing the financial contract opportunity advisor module comprises reporting on a contract'"'"'s performance by generating an annual operating plan using plays stored in the playbook and benchmarks for the contract, identifying a set of selected opportunities, reflecting each selected opportunity'"'"'s expected contribution, adjusting such contributions over time to reflect actual versus planned completion of the selected opportunities, and predicting a final level of success for such selected opportunities as compared to stored forecast medical costs for services represented in the plays.

42. The method of claim 32, comprising executing a network leakage opportunity module to identify patient behavior in and outside of a healthcare system'"'"'s network and generate prescriptive opportunities to decrease an amount of healthcare services provided outside of the network.

43. The method of claim 42, wherein executing the network leakage module comprises:

gathering a collection of trigger events from processed claims on healthcare services;

performs a time series analysis of the processed claims to determine provider referring events;

aggregates services provided during the triggering events and classifies the aggregated services based on network relationships of the provider delivering them; and

generates data representing a ratio of the classified services to a total amount of all services.

44. The method of claim 32 wherein the analytics engine analyzes relationships between primary care providers and attributed providers during episodes of care.

45. The method of claim 32 comprising generating a set of plays for the healthcare providers and storing the plays in a playbook.