Data processing: financial – business practice – management – or co – Automated electrical financial or business practice or... – Health care management
Reexamination Certificate
2005-03-04
2010-12-14
Morgan, Robert W (Department: 3626)
Data processing: financial, business practice, management, or co
Automated electrical financial or business practice or...
Health care management
C703S002000, C703S011000, C703S022000, C705S003000
Reexamination Certificate
active
07853456
ABSTRACT:
A statistical processing system includes a server operably configured with program instructions implementing a plurality of statistical models to at least one of (a) predict a health outcome based on questionnaire responses, (b) assist a patient's choice of therapeutic modality based on questionnaire responses, and (c) assess a health risk or status based on questionnaire responses. Also provided is a research agency communicating with the server and contracted to provide the statistical models using a visual interface communicated by the server. The server is configured to analyze requests received from users relating to a plurality of said statistical models to reduce redundancy in requests for patient data.
REFERENCES:
patent: 4846190 (1989-07-01), John
patent: 5517405 (1996-05-01), McAndrew et al.
patent: 5860917 (1999-01-01), Comanor et al.
patent: 6120460 (2000-09-01), Abreu
patent: 6333160 (2001-12-01), Tamura
patent: 6385589 (2002-05-01), Trusheim et al.
patent: 7081347 (2006-07-01), Yusuf et al.
patent: 7134994 (2006-11-01), Alpert et al.
patent: 7187992 (2007-03-01), Tuszynski
patent: 7643969 (2010-01-01), Soto et al.
patent: 2002/0165855 (2002-11-01), Ohtomo
patent: 2003/0229513 (2003-12-01), Spertus
patent: 2004/0172291 (2004-09-01), Knowlton
patent: WO 03/104939 (2003-12-01), None
patent: WO 03/104939 (2003-12-01), None
patent: WO03104939 (2003-12-01), None
Reference A—StatSoft (http://www.statsoft.com/TEXTBOOK/stglz.html).
Rabin, D. S.; Qadeer; U.; Steir, V.E. “A Cost and Outcome Model of Fertility Treatment in a Managed Care Environment.” Fertility & Sterility 1996, 66, 896-903.
“Virtual Offices Basic Manual for Professional” by Help Horizons.com v1.14, Apr. 2001, 60 pages.
Office Action (U.S. Appl. No. 10/165,855), date mailed: Apr. 18, 2006.
Office Action (U.S. Appl. No. 10/165,855), date mailed: Nov. 17, 2006.
Office Action (U.S. Appl. No. 10/165,855), date mailed: Jan. 30, 2008.
Office Action (U.S. Appl. No. 10/165,855), date mailed: Aug. 25, 2008.
Office Action (U.S. Appl. No. 11/072,209), date mailed: Mar. 19, 2008.
Office Action (U.S. Appl. No. 11/072,209), date mailed: Oct. 16, 2008.
Office Action (U.S. Appl. No. 11/072,209), date mailed: Apr. 22, 2009.
U.S. Appl. No. 12/620,985, filed Nov. 18, 2009, Soto, et al.
John Spertus, et al.; Health Status Predicts Long-Term Outcome in Outpatients with Coronary Disease; Circulation—Journal of the American Heart Association; Jul. 2, 2002; pp. 43-49.
Colleen A. McHorney, et al.; The MOS 36-Item Short-Form Health Survey (SF-36): II. Psychometric and Clinical Tests of Validity in Measuring Physical and Mental Health Constructs; Medical Care; 1993; pp. 247-263; vol. 31-No. 3; J.B. Lippincott Company.
T A Rockall, et al.; Risk Assessment After Acute Upper Gastrointestinal Haemorrhage; Gut; 1996; pp. 316-321; vol. 38.
Ga L'Abbate, et al.; On-Line Integration and Analysis of Cardiological Data to Support Medical Decision Making; IEEE; Computers in Cardiology; 2004; pp. 189-192; vol. 31.
Elizabeth R. Delong, et al.; Comparing the Areas Under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach; Biometrics; Sep. 1988; pp. 837-845; vol. 44.
William A. Knaus, et al.; APACHE II: A Severity of Disease Classification System; Critical Care Medicine; Oct. 1985; pp. 818-829; vol. 13-No. 10; The Williams & Wilkins Co.
Frederic D. Wolinsky, et al.; Perceived Health Status and Morality Among Older Men and Women; Journal of Gerontology; 1992; pp. S304-S312; vol. 47-No. 6.
Philip S. Wells,et al.; Accuracy of Clinical Assessment of Deep-Vein Thrombosis; The Lancet; May 27, 1995; pp. 1326-1330; vol. 345.
Salim Yusuf, et al.; Effect of Coronary Artery Bypass Graft Surgery on Survival: Overview of 10-year results from Randomised Trials by the Coronary Artery Bypass Graft Surgery Trialists Collaboration; The Lancet; Aug. 27, 1997; pp. 563-570; vol. 344.
Peter C. Block, et al.; Identification of Variables Needed to Risk Adjust Outcomes of Coronary Interventions: Evidence-Based Guidelines for Efficient Data Collection; JACC; Jul. 1998: pp. 275-282: vol. 32-No. 1: Elsevier Science Inc.
Robert H. Jones, et al.; Identification of Preoperative Variables Needed for Risk Adjustment of Short-Term Mortality after Coronary Artery Bypass Graft Surgery; JACC; Nov. 15, 1996; pp. 1478-1487; vol. 28-No. 6; Elsevier Science Inc.
Robert M. Califf, et al.; Importance of Clinical Measures of Ischemia on the Prognosis of Patients with Documents Coronary Artery Disease; JACC; Jan. 1988; pp. 20-26; vol. 11-No. 1; Elsevier Science Inc.
John S. Rumsfeld, et al.; Health-Related Quality of Life as a Predictor of Mortality Following Coronary Artery Bypass Graft Surgery; JAMA; Apr. 14, 1999; pp. 1298-1303; vol. 281-No. 14.
Susan Gross Fisher, et al.; Mortality Ascertainment in the Veteran Population: Alternatives to the National Death Index; American Joumal of Epidemiology; 1995; vol. 141-No. 3; The Johns Hopkins University School of Hygiene and Public Health.
John Spertus, et al.; Association Between Depression and Worse Disease-Specific Functional Status in Outpatient with Coronary Artery Disease; American Heart Journal; Jul. 2000; pp. 105-110; vol. 140-No. 1.
John A. Spertus, et al.; Monitoring the Quality of Life in Patients with Coronary Artery Disease; The American Journal of Cardiology; Dec. 15, 1994; 1240-1244; vol. 74.
John A. Spertus, et al.; Development and Evaluation of the Seattle Angina Questionnaire: A New Functional Status Measure for Coronary Artery Disease; JACC; Feb. 1995; pp. 333-341; vol. 25-No. 2; American College of Cardiology.
Ge Soto, et al; PRISM™: A Web-Based Framework for Deploying Predictive Clinical Models; Computers in Cardiology; Nov. 2004; pp. 193-196; vol. 31; IEEE.
Eric L. Eisenstein, et al.; Assessing the Clinical and Economic Burden of Coronary Artery Disease: 1986-1998; Medical Care; Nov. 8, 2001; pp. 824-835; vol. 39-No. 8; Lippincott Williams & Wilkins, Inc.
William Cassidy; http://archive.gamespy.com/halloffame/september02/pcs/; Pinball Construction Set; Bill Budge and Electronic Arts; 4 sheets.
Charles Hu, et al.; http://www.medcacl.com/heartrisk.html; Coronary Heart Disease Risk Calculator; Jan. 15, 2000; 1 sheet.
Visiontree; various pages from http://www.idegomethodologies.com; 2004; Idego Methodologies; 19 sheets.
Gabriel E. Soto, et al.; PRISM: A Novel Tool for Deploying Predictive Clinical Models; Circulation; May 25, 2004; p. 47; vol. 109-No. 20.
Gabriel E. Soto, et al.; PRISM Update: Experiences Using a Web-based Framework for the Deployment of Predictive Clinical Models at the Point of Care; Poster Presentations e341.
Soto Gabriel Enrique
Spertus John Albert
Health Outcomes Sciences, LLC
Hunter Sean K
Knobbe Martens Olson & Bear LLP
Morgan Robert W
LandOfFree
Systems and methods for risk stratification of patient... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Systems and methods for risk stratification of patient..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Systems and methods for risk stratification of patient... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4206783