Policy Impact Analysis - 117/HR/7153

Bill Overview

Title: Department of Veterans Affairs Principles of Benefits Automation Act

Description: This bill requires the Department of Veterans Affairs to submit to Congress a plan for the modernization of the information technology systems of the Veterans Benefits Administration over the next five fiscal years.

Sponsors: Rep. Bost, Mike [R-IL-12]

Target Audience

Population: Individuals receiving or eligible for veterans' benefits

Estimated Size: 18000000

Reasoning

Simulated Interviews

Retired Army (Dallas, TX)

Age: 65 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 5/20

Statement of Opinion:

  • The current system often delays my disability checks.
  • I usually have to wait a long time for updates or changes to my benefits.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 6 5
Year 3 7 5
Year 5 7 5
Year 10 7 5
Year 20 7 5

VA Benefits Adviser (Boston, MA)

Age: 34 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • An updated IT system would make my job easier and more efficient.
  • Currently dealing with veteran frustration due to slow systems.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 7 6
Year 3 8 6
Year 5 8 6
Year 10 8 6
Year 20 7 6

Retired (Phoenix, AZ)

Age: 70 | Gender: male

Wellbeing Before Policy: 4

Duration of Impact: 20.0 years

Commonness: 6/20

Statement of Opinion:

  • It's hard to get timely information about changes to my pension.
  • I often feel anxious about whether benefits will arrive on time.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 5 4
Year 2 6 4
Year 3 6 4
Year 5 6 4
Year 10 6 4
Year 20 6 4

Software Engineer (Seattle, WA)

Age: 58 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 3/20

Statement of Opinion:

  • The modernization effort will create new job opportunities.
  • I see potential to apply my skills in helping veterans.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 8 7
Year 3 8 7
Year 5 8 7
Year 10 7 7
Year 20 7 7

Veteran Affairs Case Manager (Chicago, IL)

Age: 45 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • The work can be frustrating due to outdated technology.
  • I hope this will reduce personal and professional stress.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 6 5
Year 3 7 5
Year 5 7 5
Year 10 7 5
Year 20 6 5

Navy Reserve Officer (Miami, FL)

Age: 28 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 2.0 years

Commonness: 7/20

Statement of Opinion:

  • I haven't used the VA system yet but hope it will be seamless when needed.
  • Easier access to services would influence my future decisions.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 7 7
Year 3 7 7
Year 5 7 7
Year 10 7 7
Year 20 7 7

Retired Marine Corps (New York, NY)

Age: 62 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 15.0 years

Commonness: 5/20

Statement of Opinion:

  • The anticipated improvements could ease the frustration of scheduling appointments.
  • Looking forward to fewer bureaucratic hurdles.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 6
Year 2 7 6
Year 3 8 6
Year 5 8 6
Year 10 8 6
Year 20 8 6

Registered Nurse (Los Angeles, CA)

Age: 48 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 2/20

Statement of Opinion:

  • A modern system could improve patient outcomes and satisfaction.
  • Current tech problems slow down treatment processes.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 7 6
Year 3 8 6
Year 5 8 6
Year 10 8 6
Year 20 8 6

IT Manager (Houston, TX)

Age: 52 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 4/20

Statement of Opinion:

  • I anticipate project management challenges but also advancements.
  • Successful implementation could serve as a model for other public agencies.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 7
Year 2 8 7
Year 3 8 7
Year 5 8 7
Year 10 7 7
Year 20 7 7

Entrepreneur (Denver, CO)

Age: 39 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 7.0 years

Commonness: 10/20

Statement of Opinion:

  • Accessing benefits has been cumbersome for our family.
  • Streamlining could prevent other families from facing the same issues.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 6 5
Year 3 7 5
Year 5 7 5
Year 10 7 5
Year 20 6 5

Cost Estimates

Year 1: $150000000 (Low: $100000000, High: $200000000)

Year 2: $150000000 (Low: $100000000, High: $200000000)

Year 3: $100000000 (Low: $75000000, High: $125000000)

Year 5: $50000000 (Low: $30000000, High: $70000000)

Year 10: $20000000 (Low: $10000000, High: $30000000)

Year 100: $5000000 (Low: $2000000, High: $10000000)

Key Considerations