David Speth resumes & CV records
Resumes
President
Location:
Buffalo, NY
Industry:
Civic & Social Organization
Work:
Concordia Cemetery
President
President
David J Speth, 68211 Saint Jude Ter, West Seneca, NY 14224
David Speth Phones & Addresses
211 Saint Jude Dr, West Seneca, NY 14224 716-6746293
211 Saint Jude Ter, Buffalo, NY 14224 716-6746293
Malden, MA
211 Saint Jude Ter, Buffalo, NY 14224
Social networks
David J Speth
Linkedin
Work
Company:
Concordia cemetery
Position:
President
Education
Degree:
High school graduate or higher
Industries
Civic & Social Organization
Mentions for David J Speth
Publications & IP owners
Us Patents
Systems And Methods For Coding Information
US Patent:
7233938, Jun 19, 2007
Filed:
Apr 15, 2003
Appl. No.:
10/413405
Inventors:
Alwin B. Carus - Waban MA, US
Stefaan Heyvaert - Cambridge MA, US
Harry J. Ogrinc - Westwood MA, US
Robert G. Titemore - Lexington MA, US
Tom Deplonty - Melrose MA, US
Keith Boone - Randolph MA, US
Brian Wilson - Arlington MA, US
Ray Rankins - Gansevoort NY, US
Don Fonza - De Pere WI, US
David Speth - West Seneca NY, US
Melissa Macpherson - Albuquerque NM, US
Stefaan Heyvaert - Cambridge MA, US
Harry J. Ogrinc - Westwood MA, US
Robert G. Titemore - Lexington MA, US
Tom Deplonty - Melrose MA, US
Keith Boone - Randolph MA, US
Brian Wilson - Arlington MA, US
Ray Rankins - Gansevoort NY, US
Don Fonza - De Pere WI, US
David Speth - West Seneca NY, US
Melissa Macpherson - Albuquerque NM, US
Assignee:
Dictaphone Corporation - Stratford CT
International Classification:
G06F 17/30
US Classification:
707 1, 707 2, 707 3, 707 4, 707 5
Abstract:
The invention includes a medical document handling system and method and automated coding systems and methods for assigning predetermined medical codes to medical documents based on the documents' contents. The invention functions by analyzing electronic medical records and extracting medical information using natural language processing and machine learning. The system collects and amalgamates medical documentation in various formats from multiple sources and locations, normalizes the information, analyzes the information, recognizes information indicating contents corresponding to classification codes, assigns classification codes, and presents information in context correlated to medical records for billing and other purposes.
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