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Development of an automated healthcare system for effective management of patients with chronic diseases

Award Number: R43NR018631
ORGANIZATION: NATIONAL INSTITUTE OF NURSING RESEARCH
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 06/13/2019
PERIOD OF PERFORMANCE END DATE: 02/29/2020

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Development of an automated healthcare system for effective management of patients with chronic diseases - PROJECT SUMMARY Care delivery at primary and urgent clinics is critically hindered by doctor shortage, time constraints and the inappropriate use of infrastructures. Rising aging population and unhealthy lifestyle are expected to drive the increase of chronic disease and the national health expenditures associated (20% of the U.S. gross domestic product by 2025). Telemedicine has been proposed as a possible solution to reduce the cost of access to care minimizing the dependence of patients on health professionals. However, current solutions that connect patients with doctors don’t allow accurate diagnosis due to the lack or inappropriate use of medical devices. AdviNow proposes to implement computer vision to offer a clinically reliable approach to perform self- evaluation of vital parameters. AdviNow will develop the first Augmented Reality (AR) algorithms that will guide any non-trained people to a correct usage of Class 2 medical devices at the point of need. The new approach will represent the core component of a novel clinical decision support system (CDSS) which will be integrated into telemedicine platforms, kiosks or any medical office to automate medical visits, improving chronic diseases management. In this Phase I application, we will develop a minimally viable application based on heart stethoscope exams, in order to assess the feasibility of the proposed approach for multiple medical devices to effectively monitor chronic diseases. Specific activities will include: (1) Development of AR-driven engine for the correct application of heart stethoscope; (2) development of a basic front-end application for Real-time instructions; (3) establishment of a classifier for heart sound abnormalities. We expect to achieve real-time (<300ms) estimation of phonocardiogram key points and accurate validation of the stethoscope position based on camera-capture and audio-recorded data. We expect that our system will recognize normal and abnormal heart sounds with >85% accuracy. Finally, a small feasibility test will be performed with healthy volunteers to verify their ability to position the stethoscope in less than 10 seconds with an error of less than one inch. The successful completion of this SBIR Phase I project will lay the foundation of a Phase II SBIR proposal for an external validation of the system to be performed in collaboration with urgent care clinics and patients affected by chronic heart conditions. The mission of AdviNow Medical is to develop a disruptive solution for the delivery of healthcare that is safe, effective, timely, efficient, and available in centralized and decentralized locations. By reducing the time for routine analysis, the actual doctor-patient encounter will be more meaningful, improving the clinical outcome as well as patient satisfaction. This invention promises to disrupt healthcare, as providers will improve cost management and profitability by visiting more patients.


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: 2020 ( Subtotal = $0 )
2020	2019	ADVINOW, INC.	6813 E DOUBLETREE RANCH RD	PARADISE VALLEY	AZ	85253	MARICOPA	USA	Nursing Research	000	1	6/10/2020	NEW	$0
														Subtotal = $0

Issue Date FY: 2019 ( Subtotal = $149,999 )
2019	2019	ADVINOW, INC.	6813 E DOUBLETREE RANCH RD	PARADISE VALLEY	AZ	85253	MARICOPA	USA	Nursing Research	000	1	6/13/2019	NEW	$149,999
														Subtotal = $149,999

Grand Total All Awards = $149,999

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Development of an automated healthcare system for effective management of patients with chronic diseases

Award Number: R43NR018631

ORGANIZATION: NATIONAL INSTITUTE OF NURSING RESEARCH

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

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

PERIOD OF PERFORMANCE START DATE: 06/13/2019

PERIOD OF PERFORMANCE END DATE: 02/29/2020

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