58 resultados para Health Facility Planning


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Profile on Dr. John A. Rock, founding dean of the Florida International University College of Medicine.

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Presentation on major themes for the four year MD curriculum.

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Agenda for the FIU College of Medicine's First Accreditation Planning Weekend, February 16-17 2007.

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Draft of outline for "Phase I Elements - Planning & Development" document on the College of Medicine's LCME Accreditation Process.

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Outline of the LCME 3-stage Accreditation Process for Medical Education. Details the stages in the College of Medicine's efforts to initiate the accreditation process. Also details the College of Medicine's Implementation Plan and Proposed Timeline for implementation.

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Cope of the LCME's planning and self-study materials. Includes information on the LCME accreditation process and policies, as well as an overview of the LCME as an an organization.

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Meeting agenda and documents from Meeting # 5 between the memebers of Perkins+Will and the FIU-AHSCMP Executive Planning Committee. Includes plans and blueprints detailing facility goals and assumptions for the Academic Health Sciences facility over a 5, 10, and 20 year planning period, as well as future goals. Blueprints include a Campus Plan and 5, 10, and 20 year plans for the Program, Space, Service, and Access, as well as a Site Plan, and Perspective View of the facilities.

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FIU Academic Health Sciences Center Master Plan prepared by Perkins+Will. Overview of Facility and Program goals for the Academic Health Sciences Center.

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This paper provides the historic background of the Florida International University College of Medicine planning process.

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The purpose of this study is to produce a model to be used by state regulating agencies to assess demand for subacute care. In accomplishing this goal, the study refines the definition of subacute care, demonstrates a method for bed need assessment, and measures the effectiveness of this new level of care. This was the largest study of subacute care to date. Research focused on 19 subacute units in 16 states, each of which provides high-intensity rehabilitative and/or restorative care carried out in a high-tech unit. Each of the facilities was based in a nursing home, but utilized separate staff, equipment, and services. Because these facilities are under local control, it was possible to study regional differences in subacute care demand.^ Using this data, a model for predicting demand for subacute care services was created, building on earlier models submitted by John Whitman for the American Hospital Association and Robin E. MacStravic. The Broderick model uses the "bootstrapping" method and takes advantage of high technology: computers and software, databases in business and government, publicly available databases from providers or commercial vendors, professional organizations, and other information sources. Using newly available sources of information, this new model addresses the problems and needs of health care planners as they approach the challenges of the 21st century. ^

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This thesis develops and validates the framework of a specialized maintenance decision support system for a discrete part manufacturing facility. Its construction utilizes a modular approach based on the fundamental philosophy of Reliability Centered Maintenance (RCM). The proposed architecture uniquely integrates System Decomposition, System Evaluation, Failure Analysis, Logic Tree Analysis, and Maintenance Planning modules. It presents an ideal solution to the unique maintenance inadequacies of modern discrete part manufacturing systems. Well established techniques are incorporated as building blocks of the system's modules. These include Failure Mode Effect and Criticality Analysis (FMECA), Logic Tree Analysis (LTA), Theory of Constraints (TOC), and an Expert System (ES). A Maintenance Information System (MIS) performs the system's support functions. Validation was performed by field testing of the system at a Miami based manufacturing facility. Such a maintenance support system potentially reduces downtime losses and contributes to higher product quality output. Ultimately improved profitability is the final outcome. ^