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The Army Medical Department (AMEDD) Automated Staffing Assessment Model (ASAM) establishes productivity requirements for primary care providers within the military health system (MHS). To determine the appropriate productivity levels, ASAM takes into a account number of variables. However, varying leadership styles, training requirements, additional duties, and patient care facilities across the AMEDD affect overall productivity levels. This paper applies Resource Dependency Theory as a framework to assess how the availability of resources within the MHS affects the primary care provider’s ability to meet the ASAM productivity requirements. |
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