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

Information

  • Research Project
  • 9778356
  • ApplicationId
    9778356
  • Core Project Number
    R43NR018631
  • Full Project Number
    1R43NR018631-01
  • Serial Number
    018631
  • FOA Number
    PA-18-574
  • Sub Project Id
  • Project Start Date
    6/13/2019 - 5 years ago
  • Project End Date
    11/30/2019 - 5 years ago
  • Program Officer Name
    DIANA, AUGUSTO
  • Budget Start Date
    6/13/2019 - 5 years ago
  • Budget End Date
    11/30/2019 - 5 years ago
  • Fiscal Year
    2019
  • Support Year
    01
  • Suffix
  • Award Notice Date
    6/13/2019 - 5 years ago
Organizations

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.

IC Name
NATIONAL INSTITUTE OF NURSING RESEARCH
  • Activity
    R43
  • Administering IC
    NR
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    149999
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    361
  • Ed Inst. Type
  • Funding ICs
    NINR:149999\
  • Funding Mechanism
    SBIR-STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    ADVINOW, INC.
  • Organization Department
  • Organization DUNS
    081312062
  • Organization City
    PARADISE VALLEY
  • Organization State
    AZ
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    852531920
  • Organization District
    UNITED STATES