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    Home»eNewsletter»Ambulatory Care Transformation Case Study Receives Best Practices Award
    May 11, 2018

    Ambulatory Care Transformation Case Study Receives Best Practices Award

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    “Using Predictive Analytics and Big Data to Drive Ambulatory Care Transformation” was named as one of 16 best practices by the Healthcare Infrastructure Research/American Society for Healthcare Engineering Industry Innovation Program. The case study was recognized at one of the recently ASHE PDC Summit general sessions in Nashville, Tennessee.

    Each innovation will be included in a series of monographs published throughout 2018.

    Health providers acknowledge that ambulatory networks are the key to providing convenient, accessible services for patients while also ensuring future market share growth for health systems.  Hoar Construction, Real Estate Strategies and HGA Architects joined forces and developed an innovative approach to assist health systems in the creation and rapid implementation of successful ambulatory network strategies.

    The case study submitted by Hoar, RES and HGA uses predictive analytics and interactive mapping to identify unsaturated market areas full of unmet patient demand, overlays ideal payer mix projections and forecasts future financial success of new locations long before real estate has even been identified. By combining proven tools and techniques from vast experience in the retail and financial services industries with healthcare specific Big Data, health providers can create predictive, visually compelling, neighborhood-level strategic plans for expansion or optimization of urgent care centers, freestanding emergency departments, primary and specialty care practices and even micro-hospital locations.

    HIR, a program of the University Research Institute in Washington D.C. and ASHE review abstracts each year, and then select a few to be more fully developed and presented to the industry. The field of 70 was narrowed down to 16 in 2018.

    Ambulatory Care ASHE-PDC Engineering HIR RES

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