SYSTEM AND METHOD TO MANAGE ASSETS OF HEALTHCARE FACILITY

• US 20090182594A1
• Filed: 01/14/2008
• Published: 07/16/2009
• Est. Priority Date: 01/14/2008
• Status: Active Grant

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Choubey, Suresh K.
• Granted Patent: US 8,036,925 B2
• Time in Patent Office: Days
• US Class Current: 705/7
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/0631 Resource planning, allocation, distributing or scheduling for enterprises or organisations
• CPC Class Codes: G06Q 30/0204 Market segmentation
• 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: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A system to manage utilization of a plurality of types of assets by a plurality of independent entities is provided. The system comprises a controller including a processor operable to execute a plurality of program instructions generally representative of the steps of receiving a plurality of parameters from each of the plurality of independent entities; segmenting the plurality the independent entities into more than one cluster dependent on identified similarities in at least one of the plurality of parameters of the one or more of the plurality of entities; and generating a display of a comparison of the plurality of parameters of each of the independent entities relative to another in each of the plurality of clusters.

Claims

1. A method to manage utilization of a plurality of types of assets by a plurality of independent entities, the method comprising the steps of:

receiving a plurality of parameters from each of the plurality of independent entities;

segmenting the plurality the independent entities into more than one cluster dependent on identified similarities in at least one of the plurality of parameters of the one or more of the plurality of entities; and

generating a display of a comparison of the plurality of parameters of each of the independent entities relative to another in each of the plurality of clusters.

2. The method of claim 1, wherein each of the independent entities in a first cluster is classified as a hospital.

3. The method of claim 1, wherein each of the independent entities in a first cluster includes a parameter of value within a predetermined threshold of time of utilization of an asset of at least a similar function in delivering healthcare.

4. The method of claim 1, wherein the plurality of parameters includes one or more of the group comprising:

types of services performed;

types of assets utilized;

a historical data of tracked utilization of the each of the plurality of types of assets, a historical data of tracked duration of utilization of each of the plurality of types of assets, and a tracked data of disposal of each of the plurality of types of assets.

5. The method of claim 1, wherein the plurality of parameters includes one or more of the group comprising:

a predicted need of utilization of the each of the plurality of types of assets, a predicted need to procure additional assets of each of the plurality of types of assets, and a predicted trend in mode of procurement of additional assets of each of the plurality of types of assets.

6. The method of claim 1, wherein the step of segmenting includes calculating a relationship of a set of data points of at least one measured parameter of each independent entity relative to a reference, assigning each data point of the set to a nearest centroid;

and assigning each of the centroids as one of the clusters.

7. The method of claim 1, wherein the step of segmenting includes measuring a plurality of data points of a common parameter of each of the plurality of independent entities;

creating a matrix comprising a plurality of factors generally representative of a degree of similarity of each data point to each of the clusters.

8. The method of claim 1, wherein the step of segmenting includes one of:

iteratively combining a pair or more of clusters dependent on a calculated similarity in value of a common parameter, and

iteratively subdividing one or more of the plurality clusters into a pair or more of smaller clusters according to a calculated difference in a tracked parameters

9. The method of claim 1, wherein the step of segmenting includes a probability of each of the plurality of entities to fit in one of the plurality of clusters dependent on a tracked parameter, and wherein each of the cluster of entities can be represented as a parametric distribution.

10. The method of claim 1, wherein the step of segmenting the plurality of independent entities into clusters is dependent on one of the following group of parameters comprising:

a number of procedures performed, a membership in a directory, assignment in a medical service index, a tracked percentage of inpatient procedures, under a one or more common government regulations, a type or a number of assets, and a percentage of ownership versus rental of assets.

11. A system to manage utilization of a plurality of types of assets by a plurality of independent entities, comprising:

a controller including a processor operable to execute a plurality of program instructions stored in a memory, the plurality of program instructions generally representative of the steps of;

receiving a plurality of parameters from each of the plurality of independent entities;

segmenting the plurality the independent entities into more than one cluster dependent on identified similarities in at least one of the plurality of parameters of the one or more of the plurality of entities; and

generating a display of a comparison of the plurality of parameters of each of the independent entities relative to another in each of the plurality of clusters.

12. The system of claim 11, wherein each of the independent entities in a first cluster is classified as a hospital.

13. The system of claim 11, wherein each of the independent entities in a first cluster performs at least one service in common with one another.

14. The system of claim 11, wherein the plurality of parameters includes one or more of the group comprising:

types of services performed;

types of assets utilized;

a historical data of tracked utilization of the each of the plurality of types of assets, a historical data of tracked duration of utilization of each of the plurality of types of assets, and a tracked data of disposal of each of the plurality of types of assets.

15. The system of claim 11, wherein the plurality of parameters includes one or more of the group comprising:

a predicted need of utilization of the each of the plurality of types of assets, a predicted need to procure additional assets of each of the plurality of types of assets, and a predicted trend in mode of procurement of additional assets of each of the plurality of types of assets.

16. The system of claim 11, wherein the step of segmenting includes calculating a relationship of a set of data points of at least one measured parameter of each independent entity relative to a reference, assigning each data point of the set to a nearest centroid;

and assigning each of the centroids as one of the clusters.

17. The system of claim 11, wherein the step of segmenting includes measuring a plurality of data points of a common parameter of each of the plurality of independent entities;

creating a matrix comprising a plurality of factors generally representative of a degree of similarity of each data point to each of the clusters.

18. The system of claim 11, wherein the step of segmenting includes one of:

iteratively combining a pair or more of clusters dependent on a calculated similarity in value of a common parameter, and

iteratively subdividing one or more of the plurality clusters into a pair or more of smaller clusters according to a calculated difference in a tracked parameters

19. The system of claim 11, wherein the step of segmenting includes a probability of each of the plurality of entities to fit in one of the plurality of clusters dependent on a tracked parameter, and wherein each of the cluster of entities can be represented as a parametric distribution.

20. The system of claim 11, wherein the step of segmenting the plurality of independent entities into clusters is dependent on one of the following group of parameters comprising:

a number of procedures performed, a membership in a directory, assignment in a medical service index, a tracked percentage of inpatient procedures, under a one or more common government regulations, a type or a number of assets, and a percentage of ownership versus rental of assets.