Problem Oriented Information Networking Tool (POINT)-- A Cognitive Integrated Medical Data Display System

Award Information
Agency: Department of Defense
Branch: Office of the Secretary of Defense
Contract: DAMD17-03-C-0054
Agency Tracking Number: O022-0168
Amount: $100,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2002
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
500 West Cummings Park, Suite 3000, Woburn, MA, 01801
DUNS: 859244204
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Raman Mehra/Lingji Chen
 Project Manager/PI
 (781) 933-5355
 chen@ssci.com
Business Contact
 Raman Mehra
Title: President & CEO
Phone: (781) 933-5355
Email: rkm@ssci.com
Research Institution
N/A
Abstract
"With voluminous amount of patient data being collected in the process of providing medical services in any modern health care system, information overload has become an increasingly challenging problem that physicians face. In a typical patient-physicianencounter, the physician only has limited time to collect relevant data from various sources, and therefore it is highly desirable that the computer system provides appropriate visualization and navigation tools for summarizing, exploring, processing,integrating and rapidly presenting large amount of medical data. Scientific Systems Company Inc., Dr. Qing Zeng from Harvard Medical School, and Dr. Douglas Rosendale from Grand Junction Veterans Affairs Medical Center, jointly propose to develop aknowledge-based, concept-oriented graphical data display system that provides for physicians a cognitive, "Gestalt" view of patients data. The proposed system will consist of four integrated parts: (1) knowledge acquisition and maintenance, (2)knowledge-based relevant data identification (interpretation, inference, analysis) (3) user interface design: graphical representation, customization, learning, and (4) data retrieval from various medical databases. The tasks that will be performed inPhase I are: (1) knowledge acquisition, (2) knowledge representation, (3) user interface design, (4) data retrieval, (5) proof-of-concept implementation, and (6) reports, meetings and Phase II recommendati

* Information listed above is at the time of submission. *

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