METHOD AND SYSTEM FOR MANAGING ENTERPRISE WORKFLOW AND INFORMATION

• US 20140195258A1
• Filed: 09/27/2013
• Published: 07/10/2014
• Est. Priority Date: 07/10/2007
• Status: Abandoned Application

• Current Assignee: Wisdom Tools Enterprises Incorporated
• Original Assignee: Wisdom Tools Enterprises Incorporated
• Inventors: Burton, Matthew M., Borland, Steven C., Kirkley, Eugene H. Jr.
• Application Number:
  US14/040,342
• Publication Number:
  US 20140195258A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G06Q 10/0633 Workflow analysis
• 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

A system for enterprise workflow management includes software and hardware for gathering information regarding the current state of workflows within the enterprise, examining the operational relationships among the systems and entities relating to the workflows, and facilitating improvement of the workflows throughout their respective lifecycles.

Claims

1. A machine readable medium having machine-executable instructions for managing workflow of an enterprise, the machine-executable instructions including:

means for applying context to information relating to workflow activities of the enterprise;

means for establishing meaning of the information;

means for linking the information;

means for deriving associations relating to the information;

means for generating a model of the workflow based on the information; and

means for providing a simulation of the workflow based on the model.

3. The machine readable medium of claim 1, wherein the means for establishing meaning of the information includes instructions which when executed provide at least one of a vocabulary service and a terminology map.

4. The machine readable medium of claim 3, wherein the terminology map provides a relationship between local terminologies and established standards.

5. The machine readable medium of claim 1, wherein the means for applying context includes instructions for associating the context of the information with a contextual property from the group consisting of role, environment, and activity.

6. The machine readable medium of claim 1, wherein the means for linking includes instructions which when executed employ a probabilistic linkage technology.

7. The machine readable medium of claim 1, wherein the means for deriving associations includes instructions which when executed perform rule mining to identify characteristics of the workflow activities.

2. A method for managing a workflow of activities of enterprise, including the steps of:

using a computing device to define a current state of enterprise activities by gathering information from at least one tracking system coupled to the computing device;

using the computing device to determine how the workflow appears to be done;

using the computing device to determine, based on the preceding steps, how the workflow is really being done by defining a model from the current state of the enterprise activities and the determination of how the workflow appears to be done; and

adjusting variables affecting the workflow to determine, using the computing device, how the workflow should be done at the enterprise;

wherein the step of adjusting variables includes the step of refining the model by providing feedback to the model definition as a result of simulation including interaction with a game environment that provides one of virtual and mixed reality game situations to predict outcomes based on the interactions, the predicted outcomes being provided as the feedback to the model definition.

8. The method of claim 2, wherein the tracking system is one of an optical tracking system, an IR tracking system, an RF tracking system, and a position sensing system.

9. The method of claim 2, wherein the defining step includes the step of defining parameters for at least one process of the workflow, the parameters being derived from Apriori knowledge sources that are independent of the enterprise.

10. The method of claim 9, wherein the Apriori knowledge sources include at least one of accepted clinical pathways, accepted clinical guidelines, and known workflows.

11. The method of claim 2, wherein the step of determining how the workflow appears to be done includes the step of using a workflow analysis technique from the group consisting of a walk through with time-motion studies, task analysis, ethnographic inquiries, process mapping, and general data mining, visualization and business intelligence tools.

12. The method of claim 11, wherein the step of using a workflow analysis technique is repeated in an iterative manner.

13. The method of claim 2, wherein the step of adjusting variables includes the step of using petri net mathematics to refine the model.

14. The method of claim 2, wherein the step of adjusting variables includes the step of applying a stochastic modeling technique to the model to estimate a probability distribution of an outcome of the model resulting from random changes in the variables over time.

15. The method of claim 2, further including the step of providing clinical decision support to assets relating to the enterprise.

16. The method of claim 15, wherein the assets include individuals engaged in the activities.

17. The method of claim 15, wherein the assets include information systems external to the enterprise.

18. The method of claim 15, wherein the step of providing clinical decision support includes the step of generating a message for communication from one location in the enterprise to another location in the enterprise.

19. The method of claim 15, wherein the step of providing clinical decision support includes the step of sending a notification to a person associated with the enterprise in a manner that conforms to predetermined preferences of the person.

20. The method of claim 15, wherein the step of providing clinical decision support includes the step of performing medication reconciliation.

21. The method of claim 15, wherein the step of providing clinical decision support includes the step of screening for drug contraindication.

22. The method of claim 15, wherein the step of providing clinical decision support includes the step of screening for drug duplication or therapeutic failure.

23. The method of claim 15, wherein the step of providing clinical decision support includes the step of checking the dose of a drug.

24. The method of claim 15, wherein the step of providing clinical decision support includes the step of managing corollary orders.

25. The method of claim 15, wherein the step of providing clinical decision support includes the step of extracting information from a knowledge base.