IP Library Granted Patent US 8,498,891
Granted Patent B2
US 8,498,891 · App. 12/185,430 · Granted Jul 30, 2013

System and method for product level projections of pharmacy prescriptions within product therapy classes

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Quick Facts
Patent No.
US 8,498,891
App. No.
12/185,430
Granted
Jul 30, 2013
Kind
B2
Abstract

Systems and methods for product level projections of pharmacy prescriptions within product therapy classes are provided. Average wholesale dollar sales amounts are obtained or estimated at channel/outlet/product-therapy levels. All of the average wholesale dollar sales amounts are converted to prescription data at channel/outlet/product-therapy levels using a correlation function. The correlation function is derived by correlating samples of total prescription data where available with corresponding average wholesale dollar sales amounts.

Claims (38)

1. A monthly and weekly store sizing method for product level projections of pharmacy prescriptions within therapeutic classes, the pharmacy prescriptions dispensed or sold by a plurality of pharmaceutical outlets and channels or stores over a subject time interval, the universe of production stores comprising sample stores and non-sample stores, the method comprising:

monthly, calculating, using a computer processor, average wholesale dollar amounts (DDD$) for outlets in the current universe of production stores based on data in a history file excluding those outlets that have statistically outlying wholesale dollar amount values, wherein the average DDD$ are calculated at channel/outlet/product-therapy levels;

adjusting, at the channel/outlet/product-therapy levels, the average DDD$ using total prescription data for outlets where such total prescription data is available, and storing the adjusted DDD$ in a file;

computing average DDD$ for outlets and entities not included in the stored adjusted DDD$ file;

combining the adjusted DDD$ and the computed average DDD$ for all outlets and entities in a combined monthly universe file;

weekly, in response to updated reporting databases, extracting weekly total prescription data from the updated reporting databases;

evaluating the weekly total prescription data and the combined monthly universe file to generate formulas to convert the DDD$ to total prescriptions;

applying the formulas to convert the DDD$ to total prescriptions at the channel/outlet/product-therapy levels and storing the results in a weekly sizing file;

comparing the current week's sizing file with the prior week's file and accordingly adjusting the current week's total prescriptions to update the current week's sizing file; and

rolling up product/therapy class level data to higher levels.

2. A non-transitory computer-readable medium for product level projections of pharmacy prescriptions within therapeutic classes, the pharmacy prescriptions dispensed or sold by a plurality of pharmaceutical outlets and channels or stores over a subject time interval, the universe of stores comprising sample stores and non-sample stores, the computer-readable medium having a set of instructions operable to direct a processing system to perform the steps of:

monthly, calculating, using a computer processor, average wholesale dollar amounts (DDD$) for outlets in the current universe of production stores based on data in a history file excluding those outlets that have statistically outlying wholesale dollar amount-values, wherein the average DDD$ are calculated at channel/outlet/product-therapy levels;

adjusting, at the channel/outlet/product-therapy levels, the average DDD$ using total prescription data for outlets where such total prescription data is available, and storing the adjusted DDD$ in a file;

computing average DDD$ for outlets and entities not included in the stored adjusted DDD$ file;

combining the adjusted DDD$ and the computed average DDD$ for all outlets and entities in a combined monthly universe file;

weekly, in response to updated reporting databases, extracting weekly total prescription data from the updated reporting data bases;

evaluating the weekly total prescription data and the combined monthly universe file to generate formulas to convert the DDD$ to total prescriptions;

applying the formulas to convert the DDD$ to total prescriptions at the channel/outlet/product-therapy levels and storing the results in a weekly sizing file;

comparing the current week's sizing file with the prior week's file and accordingly adjusting the current week's total prescriptions to update the current week's sizing file; and

rolling up product/therapy class level data to higher levels.

3. A monthly and weekly store sizing method for product level projections of pharmacy prescriptions within therapeutic classes, the pharmacy prescriptions dispensed or sold by a plurality of pharmaceutical outlets and channels or stores over a subject time interval, the universe of production stores comprising sample stores and non-sample stores, the method comprising:

monthly, calculating, using a computer processor, average wholesale dollar amounts (DDD$) for outlets in the current universe of production stores based on data in a history file excluding those outlets that have statistically outlying wholesale dollar amount values, wherein the average DDD$ are calculated at channel/outlet/product-therapy levels;

adjusting, at the channel/outlet/product levels, the average DDD$ using total prescription data for outlets where such total prescription data is available, and storing the adjusted DDD$ in a file;

computing average DDD$ for outlets and entities not included in the stored adjusted DDD$ file;

combining the adjusted DDD$ and the computed average DDD$ for all outlets and entities in a combined monthly universe file;

weekly, in response to updated reporting databases, extracting weekly total prescription data from the updated reporting databases;

calculating estimated weekly total prescriptions at the channel/outlet/product-therapy levels based on the DDD$ from the combined monthly universe file and storing the estimated weekly total prescriptions in a weekly sizing file;

comparing the current week's sizing file with the prior week's file and accordingly adjusting the current week's total prescriptions to update the current week's sizing file; and

rolling up product/therapy class level data to higher levels.

4. A non-transitory computer-readable medium for product level projections of pharmacy prescriptions within therapeutic classes, the pharmacy prescriptions dispensed or sold by a plurality of pharmaceutical outlets and channels or stores over a subject time interval, the universe of stores comprising sample stores and non-sample stores, the computer-readable medium having a set of instructions operable to direct a processing system to perform the steps of:

monthly, calculating, using a computer processor, average wholesale dollar amounts (DDD$) for outlets in the current universe of production stores based on data in a history file excluding those outlets that have statistically outlying wholesale dollar amount values, wherein the average DDD$ are calculated at channel/outlet/product-therapy levels;

adjusting, at the channel/outlet/product-therapy levels, the average DDD$ using total prescription data for outlets where such total prescription data is available, and storing the adjusted DDD$ in a file;

computing average DDD$ for outlets and entities not included in the stored adjusted DDD$ file;

combining the adjusted DDD$ and the computed average DDD$ for all outlets and entities in a combined monthly universe file;

weekly, in response to updated reporting databases, extracting weekly total prescription data from the updated reporting databases;

calculating estimated weekly total prescriptions at the channel/outlet/product-therapy levels based on the DDD$ from the combined monthly universe file and storing the estimated weekly total prescriptions in a weekly sizing file;

comparing the current week's sizing file with the prior week's file and accordingly adjusting the current week's total prescriptions to update the current week's sizing file; and

rolling up product/therapy class level data to higher levels.

Assignments (9)
SECURITY INTEREST Recorded Mar 12, 2026
From: IMS SOFTWARE SERVICES LTD.; IQVIA INC.; IQVIA RDS INC.; RULES-BASED MEDICINE, INC.
To: JPMORGAN CHASE BANK, N.A., AS ADMINISTRATIVE AGENT
Reel/Frame 075047/0061 →
CORRECTIVE ASSIGNMENT TO CORRECT THE CONVEYING PARTIES INADVERTENTLY NOT INCLUDED IN FILING PREVIOUSLY RECORDED AT REEL: 065709 FRAME: 618. ASSIGNOR(S) HEREBY CONFIRMS THE SECURITY AGREEMENT. Recorded Dec 6, 2023
From: IQVIA INC.; IQVIA RDS INC.; IMS SOFTWARE SERVICES LTD.; Q SQUARED SOLUTIONS HOLDINGS LLC
To: U.S. BANK TRUST COMPANY, NATIONAL ASSOCIATION
Reel/Frame 065790/0781 →
SECURITY INTEREST Recorded Nov 29, 2023
From: IQVIA INC.
To: U.S. BANK TRUST COMPANY, NATIONAL ASSOCIATION
Reel/Frame 065709/0618 →
SECURITY INTEREST Recorded Nov 29, 2023
From: IQVIA INC.; IQVIA RDS INC.; IMS SOFTWARE SERVICES LTD.; Q SQUARED SOLUTIONS HOLDINGS LLC
To: U.S. BANK TRUST COMPANY, NATIONAL ASSOCIATION
Reel/Frame 065710/0253 →
SECURITY INTEREST Recorded May 24, 2023
From: IQVIA INC.; IQVIA RDS INC.; IMS SOFTWARE SERVICES LTD.; Q SQUARED SOLUTIONS HOLDINGS LLC
To: U.S. BANK TRUST COMPANY, NATIONAL ASSOCIATION
Reel/Frame 063745/0279 →
CHANGE OF NAME Recorded Oct 9, 2018
From: QUINTILES IMS INCORPORATED
To: IQVIA INC.
Reel/Frame 047207/0276 →
CHANGE OF NAME Recorded Sep 7, 2018
From: IMS HEALTH INCORPORATED
To: QUINTILES IMS INCORPORATED
Reel/Frame 047029/0637 →
SECURITY AGREEMENT Recorded Mar 2, 2010
From: IMS HEALTH INCORPORATED, A DE CORP.; IMS HEALTH LICENSING ASSOCIATES, L.L.C., A DE LLC; IMS SOFTWARE SERVICES LTD., A DE CORP.
To: BANK OF AMERICA, N.A., AS ADMINISTRATIVE AGENT
Reel/Frame 024006/0581 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 14, 2009
From: BOARDMAN, CHRIS; WYNNE, BRIAN; COPELAND, KENNON
To: IMS SOFTWARE SERVICES LTD.
Reel/Frame 022104/0456 →