System and method for the optimization of the delivery of hospital services

• US 20040122711A1
• Filed: 12/20/2002
• Published: 06/24/2004
• Est. Priority Date: 12/20/2002
• Status: Abandoned Application

• Current Assignee: Mediware Information Systems, Inc. (Project Ruby Parent Corp.)
• Original Assignee: Mediware Information Systems, Inc. (Project Ruby Parent Corp.)
• Inventors: Miller, Aragon B., Miller, Creighton A.
• Application Number:
  US10/325,895
• Publication Number:
  US 20040122711A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• 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
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A system and method for the optimization of the delivery of hospital services includes a collection engine collecting a plurality of hospital event data, a clinical engine, and one or more rules for processing the hospital event data. The clinical engine monitors the hospital event data for one or more repeated occurrences and applies the rules to the hospital event data. If the hospital event data satisfies one or more of the rules as determined by the clinical engine, the clinical engine generates one or more recommendations where the recommendations regard altering the hospital services. The system and method may further include a clinical editor displaying within a user interface of one or more terminals the hospital event data, an indicator, and the recommendations. The system and method allows for the hospital services to be altered in accordance with the hospital event data describing actual events in the hospital.

Claims

1. A method for the optimization of the delivery of hospital services, the method comprising:

collecting a plurality of hospital event data;

creating one or more rules for processing the hospital event data;

monitoring the hospital event data for one or more repeated occurrences;

applying one or more of the rules to the hospital event data; and

generating one or more recommendations when the hospital event data satisfies one or more of the rules.

2. The method of claim 1 wherein monitoring the collected hospital event data comprises tracking one or more user interface elements accessed by a user and an order in which the user accesses the user interface element

3. The method of claim 2 further comprising creating one or more workflow templates wherein the workflow templates include the user interface elements accessed by the user arranged in the order that the user accessed the user interface elements.

4. The method of claim 3 further comprising:

recommending one or more of the workflow templates to the user;

monitoring how the user interacts with the workflow template;

determining when the user exits from the workflow template in order to access one or more user interface elements not included in the workflow template; and

recommending an update to the workflow template if the user exiting from the workflow template satisfies one of the rules.

5. The method of claim 1 wherein collecting a plurality of hospital event data comprises importing a plurality of pre-existing hospital event data.

6. The method of claim 1 further comprising implementing the recommendation when a user accepts the recommendation.

7. The method of claim 6 wherein implementing the recommendation comprises altering the hospital service in accordance with the recommendation.

8. The method of claim 1 wherein applying one or more of the rules comprises determining if the collected hospital event data satisfies one or more of the rules.

9. The method of claim 1 further comprising providing an indicator to a user indicating the generation of one or more of the recommendations.

10. The method of claim 9 further comprising providing a plurality of recommendation data when the user selects the indicator.

11. The method of claim 1 further comprising recommending a preference database utilizing the hospital event data.

12. The method of claim 1 wherein generating one or more recommendations comprises recommending how to group a plurality of preference data into one or more groups.

13. A system for the optimization of the delivery of hospital services, the system comprising:

a collection engine operable to collect a plurality of hospital event data;

one or more rules for processing the hospital event data; and

a clinical engine associated with the collection engine, the clinical engine operable to monitor the hospital event data for one or more repeated occurrences, apply one or more of the rules to the hospital event data, and generate one or more recommendations when the hospital event data satisfies one or more of the rules.

14. The system of claim 13 wherein the clinical engine is further operable to:

create one or more workflow templates based on one or more of the repeated occurrences; and

provide the workflow template as one of the recommendations.

15. The system of claim 14 further comprising the clinical engine operable to:

monitor how a user interacts with the workflow template; and

recommend altering the workflow template based on the user interaction with the workflow template.

16. The system of claim 13 further comprising an indictor associated with the clinical engine, the indicator operable to indicate to a user that the clinical engine has generated at least one recommendation.

17. The system of claim 13 further comprising a clinical editor associated with the clinical engine, the clinical editor operable to display within a user interface the hospital event data, an indicator, and the recommendations.

18. The system of claim 17 further comprising the clinical editor operable to display a plurality of recommendation data when the user selects an indicator.

19. The system of claim 13 further comprising the collection engine operable to import a plurality of pre-existing hospital event data.

20. The system of claim 13 further comprising the clinical engine operable to:

determine one or more relationships between the hospital event data; and

recommend arranging the related hospital event data into one or more groups.

21. The system of claim 13 further comprising the clinical engine operable to implement the recommendation when a user accepts the recommendation.

22. The system of claim 21 wherein the clinical engine implements the recommendation by altering the hospital service in accordance with the recommendation.

23. The system of claim 13 further comprising one or more terminals including a user interface, the terminals operable to communicate with the clinical engine and a clinical editor.

24. The system of claim 13 further comprising the clinical engine operable to:

determine an expected outcome of a medical procedure by applying one or more of the rules to the hospital event data; and

generate a recommendation regarding altering a plan of care based on the expected outcome.

25. A method for tracking and processing a plurality of hospital event data relating to a plurality of hospital services, the method comprising:

collecting the hospital event data;

creating one or more rules for processing the hospital event data;

monitoring the collected hospital event data for one or more repeated occurrences;

storing the collected hospital event data in one or more databases;

applying one or more of the rules to the collected hospital event data;

searching the collected hospital event data for a plurality of information satisfying one or more of the rules;

determining if the collected hospital event data satisfies one or more of the rules; and

if the collected hospital event data satisfies one or more the rules, generating one or more recommendations, the recommendations regarding altering one or more of the hospital services.

26. The method of claim 25 wherein generating one or more recommendations comprises recommending altering one or more preferences in a plurality of preference data.

27. The method of claim 25 wherein generating one or more recommendations comprises recommending how to schedule one or more medical procedures.

28. The method of claim 25 wherein generating one or more recommendations comprises:

creating one or more workflow templates for the entering of the hospital event data; and

recommending one or more of the workflow templates to a user.

29. The method of claim 25 wherein generating one or more recommendations comprises recommending altering a plurality of preference data based on an expected outcome for a medical procedure, the expected outcome determined from the application of one or more of the rules on the collected hospital event data.