SYSTEM AND METHOD TO AUTOMATICALLY ASSIGN RESOURCES IN A NETWORK OF HEALTHCARE ENTERPRISES

• US 20140108035A1
• Filed: 10/02/2013
• Published: 04/17/2014
• Est. Priority Date: 10/11/2012
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: Srinivas Bollapragada
• Inventors: Akbay, Kunter Seref, Bollapragada, Srinivas, Day, Andrew Phelps, Dulgeroglu, Ilkin Onur, Toledano, David S., Thomas, Bex George, Katlic, Peter Leigh, Peterson, Marcia, Singh, Manmeet
• Application Number:
  US14/044,455
• Publication Number:
  US 20140108035A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G06Q 10/0631 Resource planning, allocation, distributing or scheduling for enterprises or organisations
• 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

According to some embodiments, first current resource data indicative of a current state of first resources that are used to deliver healthcare to a plurality of patients associated with a first healthcare enterprise is continuously and automatically received. The first current resource data may be automatically used to update a healthcare enterprise simulation model. The healthcare enterprise simulation model may automatically generate a predicted future state of the first resources, wherein the predicted future state of the first resources is based at least in part on second resource data indicative of a state of second resources that are used to deliver healthcare to a plurality of patients associated with a second healthcare enterprise remote from and networked with the first healthcare enterprise.

Claims

1. A method, comprising:

continuously and automatically receiving first current resource data indicative of a current state of first resources that are used to deliver healthcare to a plurality of patients associated with a first healthcare enterprise;

automatically using the first current resource data to update a healthcare enterprise simulation model executed by a computer processor; and

executing, by the computer processor, the healthcare enterprise simulation model to automatically generate a predicted future state of the first resources, wherein the predicted future state of the first resources is based at least in part on second resource data indicative of a state of second resources that are used to deliver healthcare to a plurality of patients associated with a second healthcare enterprise remote from and networked with the first healthcare enterprise.

2. The method of claim 1, wherein the second resource data comprises second current resource data indicative of a current state of second resources at the second healthcare enterprise.

3. The method of claim 1, further comprising:

receiving a resource request associated with a patient of the first healthcare enterprise;

automatically assigning, by a resource assignment engine, a particular resource to the resource request, wherein the assigned resource is associated with the second healthcare enterprise; and

outputting a response to the resource request recommending the particular resource that was assigned to the resource request.

4. The method of claim 3, further comprising:

automatically arranging to provide the particular resource that was assigned to the resource request.

5. The method of claim 3, further comprising:

automatically detecting, by the healthcare enterprise simulation model, a potential patient flow bottleneck and said assigning is based at least in part on said detecting.

6. The method of claim 3, wherein said assigning is based at least in part historical information of at least one of the first or second healthcare enterprises.

7. The method of claim 3, further comprising:

prior to said receiving, configuring the resource assignment engine.

8. The method of claim 7, wherein said configuring comprises:

defining a plurality goals; and

for each defined goal, assigning a level of importance to that goal.

9. The method of claim 8, wherein the plurality of goals and assigned levels of importance are associated with multiple healthcare enterprises.

10. The method of claim 8, wherein different pluralities of goals and assigned levels of importance are associated with different hospitals.

11. The method of claim 3, further comprising:

automatically monitoring the assigned resources; and

based on said monitoring, automatically adjusting the at least one of resource assignment engine or the healthcare simulation model to improve future performance.

12. The method of claim 1, wherein said receiving the first current resource data is performed in substantially real time.

13. The method of claim 1, wherein the resources are associated with at least one of:

(i) patient beds, (ii) healthcare staff who provide treatment to the plurality of patients associated with at least one of the healthcare enterprises, and (iii) medical equipment.

14. The method of claim 1, further comprising:

providing scheduled future events to the healthcare enterprise simulation model, wherein the predicted future state of the resources is further based on the scheduled future events.

15. The method of claim 1, wherein the predicted future state of the resources is further based on predicted future events.

16. The method of claim 1, wherein the healthcare enterprise simulation model is based at least in part on patient flow molecules, each molecule being associated with:

(i) a prior state, (ii) an enter time, (iii) a past length of service, (iv) a remaining length of service, (v) a current state, (vi) a patient attribute, (vii) a departure time, and (viii) a next state.

17. The method of claim 16, wherein the first healthcare enterprise comprises a hospital and at least one of the treatment units are associated with at least one of:

(i) an emergency department, (ii) an outpatient unit, (iii) a holding room, (iv) an operating room, (v) a recovery room, (vi) a cardiac treatment unit, (vii) a physical therapy unit, (viii) a laboratory, (ix) an X-ray and MRI unit, and (x) an intensive care unit.

18. The method of claim 1, wherein the first current resource data comprises real time location system information.

19. A system, comprising:

an input port to receive first current resource data indicative of a current state of first resources that are used to deliver healthcare to a plurality of patients associated with a first healthcare enterprise; and

a healthcare enterprise simulation model platform including a computer processor to;

automatically use the first current resource data to update a healthcare enterprise simulation model executed by a computer processor, and

execute the healthcare enterprise simulation model to automatically generate a predicted future state of the first resources, wherein the predicted future state of the first resources is based at least in part on second resource data indicative of a state of second resources that are used to deliver healthcare to a plurality of patients associated with a second healthcare enterprise remote from and networked with the first healthcare enterprise.

20. The system of claim 19, wherein a resource assignment engine is further to:

receive a resource request associated with a patient of the first healthcare enterprise,

assign a particular resource to the resource request, wherein the assigned resource is associated with the second healthcare enterprise, and

output a response to the resource request recommending the particular resource that was assigned to the resource request.

21. A non-transitory, computer-readable medium storing instructions that, when executed by a computer processor, cause the computer processor to perform a method, the method comprising:

receiving first patient bed data indicative of a current state of first patient beds that are used to deliver healthcare to a plurality of patients associated with a first hospital;

using the first patient bed data to update a healthcare enterprise simulation model; and

executing the healthcare enterprise simulation model to generate a predicted future state of the first patient beds, wherein the predicted future state of the first patient beds is based at least in part on second patient bed data indicative of a state of second patient beds that are used to deliver healthcare to a plurality of patients associated with a second hospital remote from and networked with the first hospital.

22. The medium of claim 21, wherein the method further comprises:

receiving a patient bed request associated with a patient of the first hospital;

automatically assigning a particular patient bed to the resource request, wherein the assigned patient bed is associated with the second hospital; and

outputting a response to the resource request recommending the particular patient bed that was assigned to the resource request.