1,945 research outputs found

    The transformation of community hospitals through the transition to value-based care: Lessons from Massachusetts

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    Enabling community hospitals to provide efficient and effective care and maintain competition on par with their academic medical center (AMC) counterparts remain challenges for most states. Advancing accountable care readiness adds to the complexity of these challenges. Community hospitals experience narrower operating margins and more limited access to large populations than their AMC counterparts, making the shift to value-based care difficult. Massachusetts has taken legislative action to ensure a statewide focus on reducing healthcare costs, which includes a nearly $120-million grant program supporting community hospital and system transformation toward a value-based environment. The Massachusetts Health Policy Commission’s Community Hospital Acceleration, Revitalization and Transformation (CHART) investment program is the state’s largest effort to date aimed at readying community hospitals for value-based care. In doing so, Massachusetts has created the largest state-driven, all-payer (payer-blind) readmission reduction initiative in the country. n this paper, we examine the design and evolution of CHART Phases 1 and 2 and offer insights for other states contemplating innovative approaches to bolstering community hospital participation in value-based care models

    Return on Investment from Academic Supercomputing: SC14 Panel

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    Return on Investment or ROI is a fundamental measure of effectiveness in business. It has been applied broadly across industries, including information technology and supercomputing. In this panel, we will share approaches to assessing ROI for academic supercomputing.The panel will address the challenge that “returns” from supercomputing and other computationally based research activities are often not financial. This is major distinction from other industrial sectors, where product sales, inventions, and patents might form the basis of ROI calculations. How should ROI be assessed for high performance computing in academic environments? What inroads to ROI calculations are underway by the panelists? What are challenges of ROI calculations

    Survey and Analysis of Production Distributed Computing Infrastructures

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    This report has two objectives. First, we describe a set of the production distributed infrastructures currently available, so that the reader has a basic understanding of them. This includes explaining why each infrastructure was created and made available and how it has succeeded and failed. The set is not complete, but we believe it is representative. Second, we describe the infrastructures in terms of their use, which is a combination of how they were designed to be used and how users have found ways to use them. Applications are often designed and created with specific infrastructures in mind, with both an appreciation of the existing capabilities provided by those infrastructures and an anticipation of their future capabilities. Here, the infrastructures we discuss were often designed and created with specific applications in mind, or at least specific types of applications. The reader should understand how the interplay between the infrastructure providers and the users leads to such usages, which we call usage modalities. These usage modalities are really abstractions that exist between the infrastructures and the applications; they influence the infrastructures by representing the applications, and they influence the ap- plications by representing the infrastructures

    ASCR/HEP Exascale Requirements Review Report

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    This draft report summarizes and details the findings, results, and recommendations derived from the ASCR/HEP Exascale Requirements Review meeting held in June, 2015. The main conclusions are as follows. 1) Larger, more capable computing and data facilities are needed to support HEP science goals in all three frontiers: Energy, Intensity, and Cosmic. The expected scale of the demand at the 2025 timescale is at least two orders of magnitude -- and in some cases greater -- than that available currently. 2) The growth rate of data produced by simulations is overwhelming the current ability, of both facilities and researchers, to store and analyze it. Additional resources and new techniques for data analysis are urgently needed. 3) Data rates and volumes from HEP experimental facilities are also straining the ability to store and analyze large and complex data volumes. Appropriately configured leadership-class facilities can play a transformational role in enabling scientific discovery from these datasets. 4) A close integration of HPC simulation and data analysis will aid greatly in interpreting results from HEP experiments. Such an integration will minimize data movement and facilitate interdependent workflows. 5) Long-range planning between HEP and ASCR will be required to meet HEP's research needs. To best use ASCR HPC resources the experimental HEP program needs a) an established long-term plan for access to ASCR computational and data resources, b) an ability to map workflows onto HPC resources, c) the ability for ASCR facilities to accommodate workflows run by collaborations that can have thousands of individual members, d) to transition codes to the next-generation HPC platforms that will be available at ASCR facilities, e) to build up and train a workforce capable of developing and using simulations and analysis to support HEP scientific research on next-generation systems.Comment: 77 pages, 13 Figures; draft report, subject to further revisio

    Project Final Report: HPC-Colony II

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    This report recounts the HPC Colony II Project which was a computer science effort funded by DOE's Advanced Scientific Computing Research office. The project included researchers from ORNL, IBM, and the University of Illinois at Urbana-Champaign. The topic of the effort was adaptive system software for extreme scale parallel machines. A description of findings is included
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