IP Library Patent Application 14671248
Patent Application
App. No. 14/671,248

HEALTH CARE ENTERPRISE RESOURCE PLANNING SYSTEM AND METHOD FOR UTILIZING WEB DATA

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Quick Facts
Patent No.
US None
App. No.
14/671,248
Abstract

A health care enterprise resource planning system, method and computer program product are provided in order to more accurately engage in resource planning. In regards to a health care enterprise resource planning system, processing circuitry is provided that is configured to receive web data relating to one or more health-related conditions that are capable of modifying a demand for resources of a health care organization. The processing circuitry is also configured to determine a correlation between the web data and the demand for resources of the health care organization. The processing circuitry is further configured to modify an allotment of resources of the health care organization at least partially based upon the correlation.

Claims (30)

1 . A health care enterprise resource planning system comprising processing circuitry configured to:

receive web data relating to one or more health-related conditions that are capable of modifying a demand for resources of a health care organization;

determine a correlation between the web data relating to the one or more health-related conditions and the demand for resources of the health care organization; and

modify an allotment of the resources of the health care organization at least partially based upon the correlation between the web data relating to the one or more health-related conditions and the demand for resources of the health care organization.

2 . A health care enterprise resource planning system according to claim 1 wherein the processing circuitry is configured to receive web data by filtering the web data based upon a geographical location associated with the web data relative to a service area of the health care organization such that the web data upon which the correlation is determined is web data that is associated with a geographical location within the service area of the health care organization.

3 . A health care enterprise resource planning system according to claim 1 wherein the processing circuitry is configured to receive web data by receiving search results based upon one or more search queries relating to the one or more health-related conditions.

4 . A health care resource planning system according to claim 1 wherein the processing circuitry is configured to receive web data by identifying information provided via social media relating to the one or more health-related conditions.

5 . A health care resource planning system according to claim 1 wherein the processing circuitry is configured to determine the correlation based upon a latency between timing associated with the web data and timing associated with the demand for resources of the health care organization, and wherein the processing circuitry is configured to modify the allotment of the resources of the health care organization at least partially based upon the latency between the web data relating to the one or more health-related conditions and the demand for resources of the health care organization.

6 . A health care enterprise resource planning system according to claim 5 wherein the processing circuitry is configured to determine the correlation based upon the latency by determining a delay between a change in the web data relating to the one or more health-related conditions and a change in the demand for resources of the health care organization based upon historical web data and historical data regarding the demand for resources of the health care organization.

7 . A health care enterprise resource planning system according to claim 1 wherein the processing circuitry is configured to determine the correlation by determining a relationship between a change in a quantity of the web data relating to the one or more health-related conditions and a change in the demand for resources of the health care organization based upon historical web data and historical data regarding the demand for resources of the health care organization.

8 . A health care enterprise resource planning system according to claim 1 wherein the processing circuitry is configured to modify the allotment of the resources of the health care organization by modifying the allotment of at least one of human resources or physical resources of the health care organization that are to be utilized to treat the one or more health-related conditions.

9 . A method of performing enterprise resource planning for a health care organization based at least partially upon web data, the method comprising:

receiving web data relating to one or more health-related conditions that are capable of modifying a demand for resources of a health care organization;

determining a correlation between the web data relating to the one or more health-related conditions and the demand for resources of the health care organization; and

modifying an allotment of the resources of the health care organization at least partially based upon the correlation between the web data relating to the one or more health-related conditions and the demand for resources of the health care organization.

10 . A method according to claim 9 wherein receiving web data comprises filtering the web data based upon a geographical location associated with the web data relative to a service area of the health care organization such that the web data upon which the correlation is determined is web data that is associated with a geographical location within the service area of the health care organization.

11 . A method according to claim 9 wherein receiving web data comprises receiving search results based upon one or more search queries relating to the one or more health-related conditions.

12 . A method according to claim 9 wherein receiving web data comprises identifying information provided via social media relating to the one or more health-related conditions.

13 . A method according to claim 9 wherein determining the correlation comprises determining the correlation based upon a latency between timing associated with the web data and timing associated with the demand for resources of the health care organization, and wherein modifying the allotment of the resources of the health care organization comprises modifying the allotment of the resources of the health care organization at least partially based upon the latency between the web data relating to the one or more health-related conditions and the demand for resources of the health care organization.

14 . A method according to claim 13 wherein determining the correlation based upon the latency comprises determining a delay between a change in the web data relating to the one or more health-related conditions and a change in the demand for resources of the health care organization based upon historical web data and historical data regarding the demand for resources of the health care organization.

15 . A method according to claim 9 wherein determining the correlation comprises determining a relationship between a change in a quantity of the web data relating to the one or more health-related conditions and a change in the demand for resources of the health care organization based upon historical web data and historical data regarding the demand for resources of the health care organization.

16 . A method according to claim 9 wherein modifying the allotment of the resources of the health care organization comprises modifying the allotment of at least one of human resources or physical resources of the health care organization that are to be utilized to treat the one or more health-related conditions.

17 . A method comprising:

receiving web data relating to one or more health-related conditions that are capable of modifying a demand for resources of a health care organization;

determining a change in quantity of the web data related to a respective health-related condition;

determining a corresponding change in demand for resources of the health care organization that are required due to treatment of patients having the respective health-related condition based upon a predictive model and the change in the quantity of the web data relating to the respective health-related condition; and

modifying the allotment of the resources of the health care organization based on the corresponding change.

18 . A method according to claim 17 further comprising using the predictive model to determine a latency between the change in the quantity of the web data and the corresponding change in the demand for resources of the health care organization, and wherein modifying the allotment of resources of the health care organization further comprises modifying the resources at a future time based on determined latency.

19 . A method according to claim 18 wherein using the predictive model to determine the latency comprises using the predictive model to determine a delay between a change in the web data relating to the one or more health-related conditions and a change in the demand for resources of the health care organization based upon historical web data and historical data regarding the demand for resources of the health care organization.

20 . A method according to claim 17 wherein receiving web data comprises filtering the web data based upon a geographical location associated with the web data relative to a service area of the health care organization such that the web data that changes in quantity is web data that is associated with a geographical location with the service area of the health care organization.

Assignments (11)
SECURITY INTEREST Recorded Nov 10, 2017
From: ALLSCRIPTS SOFTWARE, LLC
To: JPMORGAN CHASE BANK, N.A., AS ADMINISTRATIVE AGENT
Reel/Frame 044096/0852 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 19, 2017
From: MCKESSON CORPORATION
To: PF2 MCKESSON TECHNOLOGIES INC.
Reel/Frame 043904/0271 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 19, 2017
From: PF2 MCKESSON TECHNOLOGIES INC.
To: PF2 EIS LLC
Reel/Frame 043904/0405 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 9, 2017
From: PF2 EIS LLC
To: ALLSCRIPTS HEALTHCARE, LLC
Reel/Frame 043815/0918 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 9, 2017
From: ALLSCRIPTS HEALTHCARE, LLC
To: ALLSCRIPTS HEALTHCARE US, LP
Reel/Frame 043815/0939 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 9, 2017
From: ALLSCRIPTS HEALTHCARE US, LP
To: ALLSCRIPTS SOFTWARE, LLC
Reel/Frame 043815/0967 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 12, 2017
From: MCKESSON FINANCIAL HOLDINGS UNLIMITED COMPANY
To: MCKESSON CORPORATION
Reel/Frame 041355/0408 →
CHANGE OF NAME Recorded Jan 11, 2017
From: MCKESSON FINANCIAL HOLDINGS
To: MCKESSON FINANCIAL HOLDINGS UNLIMITED COMPANY
Reel/Frame 041329/0879 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 30, 2015
From: MCKESSON CORPORATION
To: MCKESSON FINANCIAL HOLDINGS
Reel/Frame 036698/0080 →
CORRECTIVE ASSIGNMENT TO CORRECT THE FIRST INVENTOR'S NAME PREVIOUSLY RECORDED AT REEL: 035275 FRAME: 0962. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Jul 8, 2015
From: JIN, JUNYI
To: MCKESSON CORPORATION
Reel/Frame 036078/0155 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 27, 2015
From: JUNYI, JIN
To: MCKESSON CORPORATION
Reel/Frame 035275/0962 →