Russell D Suever

US Patent:

49758403, Dec 4, 1990

Filed:

Jun 17, 1988

Appl. No.:

7/208067

Inventors:

Arthur W. DeTore - Fort Wayne IN
Russell D. Suever - Fort Wayne IN
David W. Jones - Fort Wayne IN

Assignee:

Lincoln National Risk Management, Inc. - Fort Wayne IN

International Classification:

G06F 1540
G06F 1521

US Classification:

364401

Abstract:

A method and apparatus for evaluating the insurability of a potentially insurable risk has data bases for storing information, and the ability to correlate selected elements of information in respective data bases. Certain elements are assigned weights on the basis of predetermined relationships existing between elements of information in one data base and corresponding elements of information in another. Information is displayed from a data base for use by an underwriter in assigning a weight to a selected element, or an expert module corresponding to the selected element is identified and used for assigning the weight. A risk classification is determined for the potentially insurable risk from the weights assigned. The system can identify additional elements of information required for evaluating the potentially insurable risk, and can request entry of such information for subsequent storage. In one embodiment, the system can identify an element of information for which no corresponding information exists, and for which no expert module exists.

US Patent:

57323976, Mar 24, 1998

Filed:

Mar 16, 1992

Appl. No.:

7/851811

Inventors:

Arthur W. DeTore - Fort Wayne IN
Russell D. Suever - Fort Wayne IN

Assignee:

Lincoln National Risk Management, Inc. - Fort Wayne IN

International Classification:

G06F 1760

US Classification:

705 1

Abstract:

An automated system for use in decision-making, comprises input, output processing and storage capabilities. The storage and processing portions of the system include a number of components which receive information and data specific to a selected topic of decision-making. The components perform data collection, screening and decision-making functions. The system compares received data to previously stored data and identifies received data which does and does not correspond to the previously stored data. If the data does correspond, the system implements a first decision operation. If the received data does not correspond, the system determines the nature and degree of such non-correspondence, and implements a decision operation which is reflective of the nature and degree of the non-correspondence. If the nature and degree of non-correspondence cannot be determined, additional data pertaining to the selected topic is requested and compared to the previously stored data in an iterative manner. Discrepancies existing between corresponding elements of data are identified.