Making the Case for Funding Facility Infrastructure Improvements
The University of Massachusetts Medical School (UMMS) is one of the fastest growing academic health centers in the U.S. In addition to its core mission of medical education, UMMS is a world-class research institution, attracting over $174 million in research funding annually. Its facilities include classroom and research space and a teaching hospital, encompassing more than two million square feet.
As a heavily used facility of over 35 years in service, UMMS began to see increased operational issues and equipment at the end of its useful life. Historically, UMMS internal staff assessed facility needs, developed deficiency lists and scored this list based on criteria related to operational risk, environmental impact, and safety. While this process provided an overview of the problems, UMMS wanted outside expertise to develop needed detail and cost estimates. UMMS also wanted support in articulating the ROI of infrastructure investments.
UMMS originally looked for a vendor to provide facility assessment services. However, the school’s selection of VFA hinged on its ability to provide a solution that went beyond assessment, incorporating software to manage assessment data and provide tools for forecasting maintenance, renewal and capital spending. VFA’s assessment gave UMMS a prioritized list of deficiencies to roll into its capital plan, with cost calculations based on industry standards. VFA.facility provided a repository for managing this data, and enabled the generation of quantifiable metrics such as Facility Condition Index.
With detailed data about facility conditions and needs, UMMS is planning increased funding levels to both improve its systems and plan for equipment renewals. This investment will enable UMMS to effectively deliver on its goal of “100 percent service” for its systems and equipment. The reliability of those systems is critical for an organization that serves a diverse population of patients, visitors and staff, and in which down-time can have serious operational implications.
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