Acronyms |
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xvii | |
Summary |
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1 | (10) |
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1 The Need For A Staffing Methodology For The Veterans Health Administration |
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11 | (7) |
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12 | (1) |
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12 | (1) |
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12 | (3) |
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15 | (2) |
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17 | (1) |
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Report Structure and Summary |
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17 | (1) |
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2 Facilities Management Departments |
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18 | (12) |
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18 | (1) |
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19 | (3) |
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19 | (1) |
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Project Management and Delivery |
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20 | (2) |
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Operations and Maintenance |
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22 | (2) |
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Engineering Administration |
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24 | (3) |
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27 | (1) |
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Additional Considerations and |
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27 | (2) |
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Federal Facilities Considerations |
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27 | (1) |
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Medical and Health-Care Facilities |
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28 | (1) |
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29 | (1) |
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3 Models Applied To Staffing |
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30 | (18) |
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30 | (8) |
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Desirable Model Characteristics |
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33 | (4) |
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Critical Characteristics of Input Data |
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37 | (1) |
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Models Applied to Staffing |
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38 | (7) |
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38 | (1) |
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38 | (1) |
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39 | (2) |
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41 | (1) |
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Risk, Benchmarks, and a Caution About Metrics |
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42 | (1) |
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42 | (3) |
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45 | (3) |
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4 Vha Facilities Management (Engineering) Staffing Methodology |
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48 | (19) |
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Linking VHA Facilities Management (Engineering) Staffing with Target Levels of Performance |
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49 | (5) |
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Defining Target Performance Levels for VHA Facilities Management (Engineering) |
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49 | (2) |
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Defining Key Performance Indicators that Reflect Target Levels of VHA Facilities Management (Engineering) Performance |
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51 | (2) |
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Analyzing Links Between VHA Facilities Management (Engineering) Staffing and Performance |
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53 | (1) |
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54 | (7) |
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Facilities Management (Engineering) Functions Included in the Staffing Methodology |
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54 | (1) |
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Levels at Which the Staffing Methodology Should Be Built and Applied |
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54 | (1) |
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Establishing Baseline Facility Management (Engineering) Staffing Requirements |
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55 | (1) |
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Incorporating Infrastructure Complexity Parameters into a Baseline Staffing Model |
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56 | (1) |
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Parameters That Could Be Considered in the VHA Engineering Staffing Model |
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57 | (3) |
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Number of Infrastucture Complexity Parameters to Include in the VHA Facilities Managmeent (Engineering) Staffing Model |
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60 | (1) |
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Notional Application of the VHA Facilities Management (Engineering) Staffing Methadology |
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61 | (4) |
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Estimating the Number of Facilities Management (Engineering) FTEs Needed at the VAMC Level |
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61 | (4) |
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Estimating a Staffing Budget Request at the VAMC Level |
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65 | (1) |
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65 | (2) |
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5 Design, Implementation, And Sustainability Of The Vha Facilities Management (Engineering) Staffing Model |
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67 | (16) |
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67 | (1) |
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67 | (3) |
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Sponsorship and Oversight |
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67 | (1) |
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68 | (1) |
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Permanent Chief Engineer Facility Advisory Council |
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68 | (1) |
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Subject-Matter Expert Task Force |
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68 | (2) |
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Design Process and Timeline |
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70 | (4) |
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70 | (1) |
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Phase 1 Design of "Initial Model" (12 Months) |
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71 | (2) |
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Phase 2 Coordinated Verification of Initial Model (6 Months) |
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73 | (1) |
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Phase 3 Coordinated Working Model Independent Entity Verification (12 Months) and Validation |
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73 | (1) |
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Implementation Process and Sustainment Cycle |
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74 | (1) |
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Organizational Support and Leadership Commitment |
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74 | (1) |
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Synchronizing Implementation and Sustainment with the Budget Cycle |
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74 | (1) |
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75 | (2) |
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VHA Facilities Management (Engineering) Staff Investment |
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75 | (2) |
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77 | (1) |
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VHA Leadership and Key Staff |
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77 | (2) |
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78 | (1) |
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78 | (1) |
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79 | (1) |
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Labor Relations---Union Considerations |
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79 | (1) |
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79 | (2) |
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Infrastructure Investment |
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79 | (1) |
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Data Collection, Accuracy, and Analytics |
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80 | (1) |
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80 | (1) |
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Integration in Strategic and Interdisciplinary Planning |
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81 | (1) |
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Leveraging Big Data, Machine Learning, and Artificial Intelligence |
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81 | (1) |
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81 | (2) |
References |
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83 | (4) |
Appendixes |
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A Committee Meeting and Workshop Agendas |
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87 | (15) |
B Committee Biographical Information |
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102 | (3) |
C Nature of Veterans Health Administration Facilities Management (Engineering) Tasks and Staffing |
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105 | |