Policy Impact Analysis - 117/HR/6363

Bill Overview

Title: Genetic Sequencing Accountability Act

Description: This bill requires the Government Accountability Office to report on national security and related risks of human genomic sequencing services or genetic services that are funded by the Department of Health and Human Services and carried out by certain foreign entities. In particular, the report must focus on entities that receive such funding and are organized under the laws of a country or countries of concern, as determined by the Office of the Director of National Intelligence or other federal departments.

Sponsors: Rep. Bucshon, Larry [R-IN-8]

Target Audience

Population: Individuals who undergo human genomic sequencing services funded by HHS

Estimated Size: 500000

Reasoning

Simulated Interviews

Biotech Research Scientist (San Francisco, CA)

Age: 35 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 6/20

Statement of Opinion:

  • Concerns about potential restrictions on international collaboration.
  • Possible increased paperwork and reporting standards.

Wellbeing Over Time (With vs Without Policy)

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

Genomic Data Analyst (Boston, MA)

Age: 28 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • Uncertainty regarding continued data access.
  • Worries about workflow disruption and job security.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 5 6
Year 2 4 6
Year 3 4 7
Year 5 5 7
Year 10 6 8
Year 20 7 8

Policy Advisor (New York, NY)

Age: 42 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • Believes the policy enhances national security.
  • Thinks the policy may raise public trust in genomic services.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 8
Year 2 8 8
Year 3 8 8
Year 5 9 8
Year 10 9 8
Year 20 9 8

Oncologist (Austin, TX)

Age: 50 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 3.0 years

Commonness: 7/20

Statement of Opinion:

  • Concerned about delays in obtaining sequencing results.
  • Worries about potential loss of collaboration with international labs.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 7
Year 2 6 7
Year 3 7 7
Year 5 7 8
Year 10 8 8
Year 20 8 9

Patient Advocate (Seattle, WA)

Age: 60 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 6/20

Statement of Opinion:

  • Worries about increased waiting periods for patients.
  • Thinks it may lead to more stringent data protection, enhancing patient safety.

Wellbeing Over Time (With vs Without Policy)

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

Privacy Advocate (Los Angeles, CA)

Age: 38 | Gender: other

Wellbeing Before Policy: 9

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • Sees the policy as a crucial step towards stronger privacy protections.
  • Believes it will lead to a safer environment for genetic data usage.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 9 9
Year 2 9 9
Year 3 9 9
Year 5 9 8
Year 10 9 8
Year 20 9 8

Genomic Sequencing Technician (Chicago, IL)

Age: 45 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • Fears job complexity might increase due to new compliance requirements.
  • Worries about the potential for reduced service efficiency.

Wellbeing Over Time (With vs Without Policy)

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

Graduate Student (Miami, FL)

Age: 30 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 6.0 years

Commonness: 4/20

Statement of Opinion:

  • Worries about disruptions in accessing essential data for research.
  • Concerns about the lengthening of research timelines.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 7
Year 2 6 7
Year 3 6 7
Year 5 6 8
Year 10 7 9
Year 20 8 9

Government Health Official (Baltimore, MD)

Age: 55 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • Supports the policy for its potential to enhance oversight.
  • Believes it will bolster public confidence in government-funded programs.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 8
Year 2 8 8
Year 3 8 8
Year 5 8 8
Year 10 9 8
Year 20 9 8

Genetic Counselor (Denver, CO)

Age: 39 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 4.0 years

Commonness: 4/20

Statement of Opinion:

  • Concerns about potential miscommunication with patients due to policy changes.
  • Sees value in increased security and trust in the data handling.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $5000000 (Low: $3000000, High: $8000000)

Year 2: $5500000 (Low: $3500000, High: $8500000)

Year 3: $5750000 (Low: $3600000, High: $8750000)

Year 5: $6000000 (Low: $3750000, High: $9000000)

Year 10: $0 (Low: $0, High: $0)

Year 100: $0 (Low: $0, High: $0)

Key Considerations