Monitoring Clinical Processes for Process Optimization

• US 20070083390A1
• Filed: 03/30/2006
• Published: 04/12/2007
• Est. Priority Date: 10/07/2005
• Status: Abandoned Application

• Current Assignee: Cerner Innovation, Inc. (Oracle Corporation)
• Original Assignee: Cerner Innovation, Inc. (Oracle Corporation)
• Inventors: Hallberg, Shriti, Dyer, Barry, Gorup, Paul, Berg, Karen, Chuang, Ian
• Application Number:
  US11/278,092
• Publication Number:
  US 20070083390A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G06Q 10/06375 Prediction of business process outcome or impact based on a proposed change
• 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 40/63 for local operation

Abstract

Systems and methods are provided for monitoring opportunities for optimizing clinical processes within clinical facilities. An optimized practice process model may be defined for a particular clinical procedure, setting forth an optimal clinical process. In addition, critical levers may be identified within the optimal clinical process, representing the activities that have the greatest impact on outcomes. Clinical facilities may collect current measures for the critical levers, and the current measures may be compared against an optimal, benchmark, and/or target measure. Based on the comparison, opportunities for clinical process optimization may be identified. The opportunities may also be monitored using one or more rules to determine if a variance condition is present.

Claims

1. A method, implemented at least in part in a clinical computing environment, for monitoring a current clinical process within one or more clinical facilities, the method comprising:

providing at least one opportunity for clinical process improvement within the current clinical process based on an optimized practice process model;

providing at least one rule for determining whether a variance condition is present in the at least one opportunity;

accessing clinically-related data from the current clinical process;

comparing the clinically-related data against the at least one rule to determine if the variance condition is present; and

if the variance condition is present, providing an indication of the variance condition.

2. The method of claim 1, wherein the at least one opportunity comprises one or more critical levers within an optimal clinical process.

3. The method of claim 2, wherein the clinically-related data comprises at least one current measure corresponding with at least one of the one or more critical levers.

4. The method of claim 3, wherein comparing the clinically-related data against the at least one rule comprises comparing the at least one current measure against the at least one rule to determine if the variance condition is present.

5. The method of claim 3, wherein the variance condition comprises a predetermined variance in the at least one current measure.

6. The method of claim 1, further comprising:

if the variance condition is present, providing for a determination of a cause of the variance condition.

7. The method of claim 6, wherein providing for a determination of a cause of the variance condition comprises presenting one or more user interfaces for analyzing at least a subset of the clinically-related data associated with the variance condition.

8. The method of claim 1, wherein accessing clinically-related data from the current clinical process comprises accessing the clinically-related data from a data warehouse.

9. One or more computer-readable media having computer-useable instructions embodied thereon for causing a computing device to perform the method of claim 1.

10. A method, implemented at least in part in a clinical computing environment, for monitoring a current clinical process within one or more clinical facilities, the method comprising:

providing at least one rule for determining whether a variance condition is present in the current clinical process;

accessing one or more current measures from the current clinical process, the one or more current measures corresponding with one or more critical levers defined by an optimized practice process model;

comparing at least one of the one or more current measures against the at least one rule to determine if the variance condition is present; and

if the variance condition is present, providing an indication of the variance condition.

11. The method of claim 10, wherein the variance condition comprises a predetermined variance in at least one of the one or more current measures.

12. The method of claim 10, further comprising:

if the variance conditions is present, providing for a determination of a cause of the variance condition.

13. The method of claim 12, wherein providing for a determination of a cause of the variance condition comprises accessing clinically-related data associated with the one or more current measures.

14. The method of claim 13, wherein providing for a determination of a cause of the variance condition further comprises presenting one or more user interfaces for analyzing at least a subset of the clinically-related data associated with the one or more current measures.

15. The method of claim 10, wherein accessing one or more current measures from the current clinical process comprises accessing the one or more current measures from a data warehouse.

16. One or more computer-readable media having computer-useable instructions embodied thereon for causing a computer to perform the method of claim 10.

17. A computerized system in a clinical environment for monitoring a current clinical process within one or more clinical facilities, the system comprising:

a first interface to a rule database, the rule database comprising at least one rule for determining whether a variance condition is present in the current clinical process

a second interface to a data store storing one or more current measures from the current clinical process, the one or more current measures corresponding with one or more critical levers defined by an optimized practice process model; and

a knowledge manager communicating with the rule database via the first interface and the data store via the second interface, the knowledge manager configured to compare at least one of the one or more current measures against the at least one rule to determine if the variance condition is present, and to provide an indication of the variance condition if the variance condition is present.

18. The method of claim 17, wherein the variance condition comprises a predetermined variance in at least one of the one or more current measures.

19. The method of claim 17, wherein the knowledge manager further provides for a determination of a cause of the variance condition if the variance condition is present.

20. The method of claim 19, wherein the data store further comprises clinically-related data associated with the one or more current measures.

21. The method of claim 20, wherein the knowledge manager presents one or more user interfaces for analyzing at least a subset of the clinically-related data associated with the one or more current measures.