SBIR/STTR Research Award

SBIR Phase II: Serious Gaming Platform for Mastering the Physician-Patient Diagnostic Interview

Award identifier 091b16140409c625bdd405fcb7bcff366f1d6a9ca9c57d94d5a98de4cafdef8dAwarding agency National Science Foundation

Award amount

$456,657

Program and phase

SBIR · Phase II

Award year

2012

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
IntelligentSimulations LLC
Proposal award date
2012-09-01
Contract end date
2014-08-31
UEI
Not reported
Solicitation number
Not reported
Topic code
EA

Research abstract

This Small Business Innovation Research (SBIR) Phase II project will complete development of the Artificial Intelligent (AI) Patient platform. This immersive simulation platform helps medical students hone their listening and rapport-building skills by interacting with ?virtual? patients. The student asks questions and the video clip response from the patient depends on the specific question asked, how that question is asked, and when it is asked in the interview. If the student asks the wrong question, or asks inappropriate questions, then the patient will respond in a way that will prevent a positive doctor-patient relationship from developing. Because it combines video clips and artificial intelligence and is web-based, we anticipate that this training platform will teach a medical school student (and other health professionals) how to really pay attention to their patients, and that it will do so more effectively than other training products already on the market. In Phase II, we will complete the platform build, incorporate additional artificial intelligence and speech recognition capabilities, create versions of the platform that will work on smart phones and tablets, and develop a set of six patient scenarios. This work will result in a platform that closely approximates a natural conversational experience. The broader impact/commercial potential of this project will be to achieve a significant advancement over currently available computer-based training and other instructional tools. Medical schools are experiencing a transition from passive to active methods of teaching, as professors and students both have the desire to replace passive learning methods of PowerPoint slides, lectures, and instructional videos with more interactive methods of learning. The active experience provided by the AI Patient platform will help students learn to be more effective listeners and better health practitioners, which will result in better patient outcomes. The platform will also allow researchers to track and measure the effectiveness of using this kind of training tool. By working with our medical school teaming partners (West Virginia University School of Medicine and the West Virginia School of Osteopathic Medicine), we will develop a set of scenarios that we can license to other medical schools. Sales to the medical school community will support the development of more medical scenarios and enable us to expand into other sectors?such as law enforcement, HR training, and social work?where trust and rapport-building skills are critical.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.