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Catherine Greta Mccabe, 706470 Powell Hill Rd, Naples, NY 14512

Catherine Mccabe Phones & Addresses

6470 Powell Hill Rd, Naples, NY 14512   

Middlesex, NY   

Canandaigua, NY   

Howell, MI   

Bloomfield, NY   

Ann Arbor, MI   

Rochester, NY   

Avon, NY   

Education

Degree: Graduate or professional degree

Mentions for Catherine Greta Mccabe

Career records & work history

Lawyers & Attorneys

Catherine Mccabe Photo 1

Catherine Mccabe - Lawyer

ISLN:
917240988
Admitted:
2001
University:
Loyola University, B.A., 1984
Law School:
Northern Illinois University, J.D., 2001

Catherine Mccabe resumes & CV records

Resumes

Catherine Mccabe Photo 44

Head Strategic Informatics, Clinical Consulting At Aetna

Location:
Mills River, NC
Industry:
Insurance
Work:
Aetna, INC.
Head Strategic Informatics Clinical Consulting
Education:
State University New York 1973 - 1977
Bachelors, Bachelor of Science
Skills:
Informatics, Program Management, Managed Care, Strategy, Medicare, Health Insurance, Healthcare, Utilization Management, Disease Management, Hospitals, Health Policy, Medicaid, Software Documentation, Leadership, Insurance, Process Improvement
Catherine Mccabe Photo 45

Catherine Mccabe

Catherine Mccabe Photo 46

Catherine Mccabe

Location:
United States
Catherine Mccabe Photo 47

Catherine Mccabe

Location:
United States

Publications & IP owners

Us Patents

Method Of Modifying Comparable Health Care Services

US Patent:
5724379, Mar 3, 1998
Filed:
Dec 21, 1994
Appl. No.:
8/361167
Inventors:
Nancy A. K. Perkins - Canandaigua NY
Nancy N. Boyer - Penfield NY
Catherine H. Dibble - Honeoye Falls NY
Catherine G. McCabe - Rochester NY
Assignee:
HealthChex, Inc. - Fairport NY
International Classification:
G06F 1760
G06G 752
US Classification:
395202
Abstract:
Health care services are made more efficient by comparing health care services from different providers independently of the clinical complexity of treating the diseases of the patients involved. This is accomplished with a computer-aided system using outpatient and inpatient claims data bases containing indicators of clinical conditions, such as age, gender, diagnoses, and procedures used, and including comparison criteria such as utilizations and indicia of quality. The diseases of the patients of the population are grouped by clinical complexity, and the extent of the systematic relationships between the clinical complexity groups and the comparison criteria are analyzed, preferably by regression analysis. With the extent of the systematic relationships to clinical complexity being known, the health care services of different providers are compared for utilization of procedures and indicia of quality, independently of the differing clinical complexity of the patients receiving the services. The health care services rendered are then modified to improve their efficiency, based on the information revealed in the comparisons.

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