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JiHi, An Artificial Intelligent HAZWOPER e-trainer for tutoring and evaluating emergency first response clinical skill proficiency.

Award Number: R43ES036401
ORGANIZATION: NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 08/16/2024
PERIOD OF PERFORMANCE END DATE: 02/15/2025

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JiHi, An Artificial Intelligent HAZWOPER e-trainer for tutoring and evaluating emergency first response clinical skill proficiency. - PROJECT SUMMARY HAZWOPER emergency response work represents one of the most dangerous jobs in the United States (U.S.) where, in many cases, emergency medical first responders are expected to deliver immediate care to persons suffering from acute traumatic injuries and exposure to hazardous substances (e.g., chemical spills). Therefore, the HAZWOPER standard devotes very specific and detailed attention to training that represents a major departure from classical emergency medical first responder action. Although advanced training technologies (ATT) have emerged over the past decade, ranging from mobile to virtual reality technologies, current HAZWOPER ATT are insufficient at tutoring, debriefing, and quantifiably evaluating hands-on skill proficiency while, simultaneously, enabling both hands free to practice emergency medical skills. NIEHS and OSHA require realistic HAZWOPER training that measurably develops hands-on skill proficiency. Additionally, students who continually practice hands-on clinical skills in simulated environments and with patient simulators significantly improve their hands-on skill proficiency. For the NIH SBIR Phase I effort, Juxtopia proposes to build upon preliminary research results to develop an artificial intelligent (AI) Juxtopia® Intelligent HAZWOPER Instructor (JiHi) that e-evaluates Fire-Fighter EMTs and Paramedics’ clinical skill proficiency by using deep learning algorithms to auto-interpret granular data generated from Juxtopia® Imhotep Band (JiBand) armlets and e-instructing first responders by displaying multimodal andragogical data on Juxtopia® Augmented Reality (AR) Goggles. Juxtopia hypothesizes that JiHi, that e-trains through AR Goggles and e-evaluates through JiBands, will measurably augment instructor training and improve emergency medical personnel (e.g., Fire-Fighter EMTs’) psychomotor skill proficiency while learners practice emergency medical skills in outdoor simulated HAZMAT environments. To test the hypothesis during the NIH SBIR Phase I effort, Juxtopia and the Maryland Fire Rescue Institute (MFRI) will answer the following questions: How can a JiHi deliver multi-modal tutoring of hands-on clinical skills?; How can a JiHi evaluate hands-on clinical skills?; How can a JiHi continually learn from students?; How can a JiHi e-evaluate correct or incorrect clinical steps from JiBand collected data?; How can the JiHi JiBand product be sold at an affordable price? To accomplish the proposed NIH SBIR Phase I effort and answer the aforementioned question, Juxtopia will test the technical and commercial feasibility of JiHi- JiBand at MFRI facilities.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2025 ( Subtotal = $0 )
2025	2024	JUXTOPIA, LLC	1601 E NORTH AVE STE 200	BALTIMORE	MD	21213	BALTIMORE CITY	USA	NIEHS Hazardous Waste Worker Health and Safety Training	000	1	7/1/2025	NEW	$0
														Subtotal = $0

Issue Date FY: 2024 ( Subtotal = $99,781 )
2024	2024	JUXTOPIA, LLC	1601 E NORTH AVE STE 200	BALTIMORE	MD	21213	BALTIMORE CITY	USA	NIEHS Hazardous Waste Worker Health and Safety Training	000	1	8/15/2024	NEW	$99,781
														Subtotal = $99,781

Grand Total All Awards = $99,781

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JiHi, An Artificial Intelligent HAZWOPER e-trainer for tutoring and evaluating emergency first response clinical skill proficiency.

Award Number: R43ES036401

ORGANIZATION: NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 08/16/2024

PERIOD OF PERFORMANCE END DATE: 02/15/2025

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