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Current Projects for the U.S. Military

Naval Hospital Camp Lejeune

Click for more pictures! The objectives of the SOW include:

  • To develop a simulation model to determine the minimum facility capacity and staff requirements needed to meet the performance parameters established by the Commander, Naval Hospital, Camp Lejeune
  • Develop a simulation model to address alternative patient scheduling and arrival practices needed to meet the performance parameters established by the Commander, Naval Hospital, Camp Lejeune
  • Develop this model to work in conjunction with the patient flow model developed for the same clinic


Evaluation of Tricare for Life

The objectives of the SOW are to assist the Health Program Analysis and Evaluation Directorate (HPA&E) in its effort to evaluate the implementation of TRICARE FOR LIFE (TFL).

Rather than the macro-analytical approach taken in previous TRICARE evaluations, the objective of this study is to take a micro-analytical approach and focus on specific issues with the greatest potential to lower costs, while improving quality and access of care. The project has two goals:

Epidemiological Assessment
An epidemiological assessment of a cohort of the eligible beneficiaries (i.e., 44-64 years of age) will be conducted using available historical data. The analysis will address the shifts in the utilization of care (i.e., inpatient to outpatient), morbidity (e.g., acute to chronic), and the changes in disease incidence and prevalence reflected in changes in utilization of services. These analyses will be used by the contractor and government representatives to select key areas for further exploration in the second goal - design of the new TRICARE Evaluation Report.

Design of a new TRICARE Evaluation Report
While the new report will consider the design and methodology of the four previous evaluation reports, it will focus on evaluating specific areas of the TRICARE to drive performance improvement. The thrust of the new report format is to compare TRICARE performance with industry "best practices." In addition to satisfying legislatively mandated questions about TRICARE, the objective is to provide a suggested implementation plan for achieving improved cost, quality and access outcomes.


Coordination of Perinatal Care in the National Capital Area

Click for more pictures! The objectives of this SOW are to provide analytical support to the Health Program Analysis and Evaluation Directorate (HPA&E) of the TRICARE Management Activity (TMA) to apply various simulation models in order to optimize the organization and delivery of perinatal care in the NCA. The analyses include the cost, quality and access performances of following MHS care units: inpatient obstetrics, outpatient obstetrical clinics and Neonatal Intensive Care Units. Existing simulation models constructed for each of these care units are used to balance changes in patient demand and clinical practice patterns with the appropriateness of capacity resources (e.g., rooms and support staff). The simulation models allow an integrated analysis of how the individual care units (e.g., inpatient, outpatient and NICU services) across different MTFs affect regional delivery of perinatal care.


Development of Primary Care Clinic Simulation Models for Dewitt Army Community Hospital, Family Health Center of Fairfax and Family Health Center of Woodbridge

The objectives of this SOW are (1) to develop a simulation model to determine the minimum facility capacity and staff requirements needed to meet the performance parameters established by the Commander, Dewitt Army Hospital, Fort Belvoir,VA; and (2) develop a simulation model to address alternative patient scheduling and arrival practices needed to meet the performance parameters established by the Commander, DeWitt Army Hospital, Fort Belvoir, Virginia; and (3) develop this model to work in conjunction with the patient flow model developed for the same clinic. In HSE's opinion, this SOW requires a discrete-event simulation model application. While other simulation model techniques might be employed (e.g. Monte-Carlo), only a discrete-event technique will provide the level of operational analysis required.


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