Leonard T Camarda

US Patent:

6587829, Jul 1, 2003

Filed:

Jul 30, 1998

Appl. No.:

09/126369

Inventors:

Leonard T. Camarda - Bedminster NJ
Curtis S. Wilbur - Hopewell NJ
Stephen B. Schectman - Summit NJ
Gregory K. Hanson - Edina MN

Assignee:

Schering Corporation - Kenilworth NJ

International Classification:

G06F 1760

US Classification:

705 3, 705 2

Abstract:

A method and apparatus for improving patient compliance with prescriptions utilizes computer terminals to convert prescription information into electronic form as records for each patient. Each such patient record includes information about the patient from the prescription and the prescription itself. In addition, demographic information about the patient is obtained from other commercial databases and added to the patient record. Then a regression analysis is run on the patient records using the various data elements versus the compliance of the patient with the prescription to determine the relative importance of each variable in the prediction. The analysis is used to segregate the patients into demographic clusters and to associate champion intervention messages with each cluster. When a patients prescription is entered in the system thereafter, the model is used to associate the patient with a cluster and to direct the champion message to that patient. Further, a regression analysis may be run on the patient data to create a model of likelihood of prescription compliance in general by the patient.

US Patent:

6578003, Jun 10, 2003

Filed:

May 1, 2000

Appl. No.:

09/562408

Inventors:

Leonard T. Camarda - Bedminster NJ
Curtis S. Wilbur - Hopewell NJ
Stephen B. Schectman - Summit NJ
Gregory K. Hanson - Edina MN

Assignee:

Schering Corporation - Kenilworth NJ

International Classification:

G06F 1760

US Classification:

705 3, 705 2

Abstract:

A method and apparatus for improving patient compliance with prescriptions utilizes computer terminals to convert prescription information into electronic form as records for each patient. Each such patient record includes information about the patient from the prescription and the prescription itself. In addition, demographic information about the patient is obtained from other commercial databases and added to the patient record. Then a regression analysis is run on the patient records using the various data elements versus the compliance of the patient with the prescription to determine the relative importance of each variable in the prediction. The analysis is used to segregate the patients into demographic clusters and to associate champion intervention messages with each cluster. When a patients prescription is entered in the system thereafter, the model is used to associate the patient with a cluster and to direct the champion message to that patient. Further, a regression analysis may be run on the patient data to create a model of likelihood of prescription compliance in general by the patient.