DOUGLAS KENT RICHARDSON
Medical Practice in Newton, MA
License number
Pennsylvania MD021776E
Category
Medicine
Type
Medical Physician and Surgeon
Address
Address
2
Newton, MA 02160
Pennsylvania
Pennsylvania
Personal information
See more information about DOUGLAS KENT RICHARDSON at radaris.comName
Address
Phone
4 Arrowhead Ln, Beverly, MA 01915
49 Sumner St, Gloucester, MA 01930
49A Sumner St, Gloucester, MA 01930
425 W 9Th St, Erie, PA 16502
33 River Rd, South Deerfield, MA 01373
Professional information
Computerized Method And System For Measuring And Determining Neonatal Severity Of Illness And Mortality Risk
US Patent:
6193654, Feb 27, 2001
Filed:
Nov 19, 1998
Appl. No.:
9/195892
Inventors:
Douglas K. Richardson - Newton MA
Gabriel J. Escobar - Lafayette CA
Shoo Lee - Vancouver, CA
Gabriel J. Escobar - Lafayette CA
Shoo Lee - Vancouver, CA
Assignee:
Beth Israel Deaconess Medical Center - Boston MA
International Classification:
A61B 500
US Classification:
600300
Abstract:
A computerized method and system for measuring and determining severity of illness of a neonatal ICU patient uses a computer and a software program to process measured parameter values from preselected physical conditions. Measurement ranges for each measured physical condition are divided into contiguous zones; the contiguous zones are given predetermined weighting factors using the software program. The software program, using user inputs, optimally selects a single value of each measured physical condition from several measurements. The single selected value of each parameter is then modified using the software program. In one embodiment, for achieving the modification, the software program provides a predetermined weighting factor depending on the parameter value selection. For each selected measured value, an applicable zone and its predetermined weighting factor is determined to generate a modified partial score representing each measured physical condition. Values of modified partial scores for all the measured physical conditions are summed by the computer using the software program to provide an illness-severity measure which can be compared with data held in a database for similar patient population.