The Big Data Interagency Working Group (BD IWG) works to facilitate and further the goals of the White House Big Data R&D Initiative.
The CPS IWG is to coordinate programs, budgets, and policy recommendations for Cyber Physical Systems (CPS) research and development (R&D).
Cyber Security and Information Assurance (CSIA) Interagency Working Group coordinates the activities of the CSIA Program Component Area.
The Health Information Technology Research and Development Interagency Working Group coordinates programs, budgets and policy recommendations for Health IT R&D.
HCI&IM focuses on information interaction, integration, and management research to develop and measure the performance of new technologies.
HCSS R&D supports development of scientific foundations and enabling software and hardware technologies for the engineering, verification and validation, assurance, and certification of complex, networked, distributed computing systems and cyber-physical systems (CPS).
The HEC IWG coordinates the activities of the High End Computing (HEC) Infrastructure and Applications (I&A) and HEC Research and Development (R&D) Program Component Areas (PCAs).
LSN members coordinate Federal agency networking R&D in leading-edge networking technologies, services, and enhanced performance.
The purpose of the SPSQ IWG is to coordinate the R&D efforts across agencies that transform the frontiers of software science and engineering and to identify R&D areas in need of development that span the science and the technology of software creation and sustainment.
Formed to ensure and maximize successful coordination and collaboration across the Federal government in the important and growing area of video and image analytics
The Wireless Spectrum R&D (WSRD) Interagency Working Group (IWG) has been formed to coordinate spectrum-related research and development activities across the Federal government.
November 5, 2014 - “Medical Device Innovation Using Cyber-physical Systems”
John Hatcliff, Kansas State University
John Hatcliff presents clinical motivation for "medical application platforms" MAPs and provides an overview of key elements of the safety, architecture, and engineering principles embodied in the Medical Device Coordination Framework (MDCF) -- an open-source MAP implementation developed in NSF and NIH-funded research programs that adheres to the Integrated Clinical Environment (ICE) architecture. A key focus of this talk are the principles necessary (but not sufficient) for supporting regulatory and third party certification regimes that provide notions of compositionality and reuse of component assurance arguments across regulatory submissions.
The concept of “system of systems” architecture is increasingly prevalent in many critical domains. Such systems allow information to be pulled from a variety of sources, analyzed to discover correlations and trends, stored to enable real-time and post-hoc assessment, mined to better inform decision-making, and leveraged to automate control of system units. In contrast, medical devices have often been developed as monolithic stand-alone units. The movement toward devices with connectivity is accelerating, but the vendor and regulatory communities are still searching for appropriate architecture principles that allow devices with connectivity to be flexibly composed into interoperable systems following sound engineering principles that provide appropriate levels of safety and assurance.
The emerging notion of a MAP provides solution strategies to address these challenges. A MAP is a safety-and security-critical real-time computing platform for (a) integrating heterogeneous devices, medical IT systems, and information displays via a communication infrastructure and (b) hosting application programs (i.e., “apps”) that provide medical utility via the ability to both acquire information from and exert control over integrated devices, IT systems, and displays.
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