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SBIR-STTR Award
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SBIR-STTR Award
10
Interactive Consumer Decision Assistance System
Award last edited on: 12/18/2014
Sponsored Program
SBIR
Awarding Agency
NIH : NIOSH
Total Award Amount
$841,362
Award Phase
2
Solicitation Topic Code
-----
Principal Investigator
Gordon Lewin
Company Information
Johnston Zaber & Associates Inc
PO Box 14233
Research Triangle Pa, NC 27709
(919) 361-0970
johnston@decision-innovations.
www.decision-innovation
Location:
Single
Congr. District:
04
County:
Durham
Phase I
Contract Number:
N/A
Start Date:
00/00/00
Completed:
00/00/00
Phase I year
1994
Phase I Amount
$74,469
This research will develop a user friendly decision assistance system that provides the consumer with a personalized approach in helping to make health care plan decisions. this interactive tool will use computer-based choice/trade-off methodology to help people organize and think through the implications of their personal values and attitudes associated with different types of health care coverage. The process begins with the consumer entering data which realistically portrays their personal situation. The user then responds to questions which require making choices or trade-offs between the relative importance of various attributes and qualities associated with a select number of health care plans. The system provides consumers with both objective information on plan elements and a personalized perspective on how well different plans match their needs. The final development of the prototype ofthe decision assistance system will be completed by the end of Phase I.
Phase II
Contract Number:
////
Start Date:
00/00/00
Completed:
00/00/00
Phase II year
1995
Phase II Amount
$766,893
This research will develop a user friendly decision assistance system that provides the consumer with a personalized approach in helping to make health care plan decisions. this interactive tool will use computer-based choice/trade-off methodology to help people organize and think through the implications of their personal values and attitudes associated with different types of health care coverage. The process begins with the consumer entering data which realistically portrays their personal situation. The user then responds to questions which require making choices or trade-offs between the relative importance of various attributes and qualities associated with a select number of health care plans. The system provides consumers with both objective information on plan elements and a personalized perspective on how well different plans match their needs. The final development of the prototype ofthe decision assistance system will be completed by the end of Phase I.
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