A Dynamic Data Driven Decision Support System For Emergency Medical Services

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LNCS 3515 - A Dynamic, Data-Driven, Decision Support ...

    https://link.springer.com/content/pdf/10.1007%2F11428848_91.pdf
    Our emergency medical application is a Multi-Layer Dynamic Data-Driven Decision Support System. It provides decision support at three important layers: at the site of the incident, at local command centers, and at a central point of coordination. These three points form …Cited by: 63

A Dynamic, Data-Driven, Decision Support System for ...

    http://people.bu.edu/jfreedma/Gaynor,%20Seltzer,%20Moulton%20&%20Freedman%202005.doc
    Our emergency medical application is a Multi-Layer Dynamic Data-Driven Decision Support System. It provides decision support at three important layers: at the site of the incident, at local command centers, and at a central point of coordination.

A Dynamic, Data-Driven, Decision Support System for ...

    https://link.springer.com/chapter/10.1007%2F11428848_91
    The emerging computing model of Dynamic Data-Driven Application Systems (DDDAS) fits well in crisis situations where rapid decision-making is essential. We explore the value of a DDDAS (iRevive) in support of emergency medical treatment decisions in response to a crisis.Cited by: 63

A Dynamic, Data-Driven, Decision Support System for ...

    http://www.dddas.org/iccs2005/talks/gaynor.pdf
    A Dynamic, Data-Driven, Decision Support System for Emergency Medical Services Mark Gaynor (BU) Margo Seltzer (Harvard) Steve Moulton (BMS) Jim Freedman(BU) Presented …

Dynamic Data-Driven Applications Systems

    http://www.1dddas.org/
    DDDAS (Dynamic Data Driven Applications Systems), is a new paradigm whereby the computation and instrumentation aspects of an application system are dynamically integrated in a feed-back control loop, in the sense that instrumentation data can be dynamically incorporated in to the executing model of the application, and in reverse the executing model can control the instrumentation.

A Data-Driven Systems Approach to Improving Emergency Care

    https://www.healthcatalyst.com/wp-content/uploads/2017/08/Data-Driven-Systems-Approach-to-Improving-Emergency-Care.pdf
    A Data-Driven Systems Approach to Improving Emergency Care Success Story ... but from the entire hospital system. A DATA-DRIVEN, SYSTEMS APPROACH TO EMERGENCY ... Health Catalyst is a next-generation data, analytics, and decision support company committed to being a catalyst for massive,

(PDF) Understanding Data-Driven Decision Support Systems

    https://www.researchgate.net/publication/220630419_Understanding_Data-Driven_Decision_Support_Systems
    Understanding Data-Driven Decision Support Systems. ... we present a data-driven decision support system for energy-efficient operation of hybrid propulsion systems. ... Early versions of Data ...

Understanding Data-Driven Decision Support Systems

    https://www.researchgate.net/profile/Daniel_Power2/publication/220630419_Understanding_Data-Driven_Decision_Support_Systems/links/02e7e517abcd6742ef000000.pdf
    Understanding Data-Driven Decision Support Systems 151 Ad Hoc Data Filtering and Retrieval The system helps users systematically search for and retrieve computerized data, filtering is often done ...

Dynamic Clinical Data Mining: Search Engine-Based Decision ...

    https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4288074/
    This process will drive the design of the next generation of EMRs, and it will subsequently support the next required stage of the digital transformation process by turning medical practice into a data driven, logical, and optimized system. This care support system will provide users with the timely information that they require to make the ...

A Behavior Tree Cognitive Assistant System for Emergency ...

    https://faculty.virginia.edu/alemzadeh/papers/IROS2019.pdf
    A Behavior Tree Cognitive Assistant System for Emergency Medical Services Sile Shu 1, Sarah Preum 2, Haydon M. Pitchford, Ronald D. Williams , John Stankovic , Homa Alemzadeh1 Abstract—This paper presents a cognitive assistant system for emergency medical services (EMS) that can serve as a rescue



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