Policy Impact Analysis - 117/HR/7559

Bill Overview

Title: Prescription Information Modernization Act of 2022

Description: This bill allows health care providers to receive prescribing information for drugs electronically rather than in paper form from manufacturers.

Sponsors: Rep. Sherrill, Mikie [D-NJ-11]

Target Audience

Population: People involved in the prescription drug process

Estimated Size: 220000000

Reasoning

Simulated Interviews

Primary Care Physician (New York, NY)

Age: 45 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 2.0 years

Commonness: 12/20

Statement of Opinion:

  • I welcome the shift to electronic prescribing since it aligns with other digital innovations in healthcare.
  • It could reduce errors and save time with immediate access to updates.

Wellbeing Over Time (With vs Without Policy)

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

Pharmacist (San Francisco, CA)

Age: 34 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 15/20

Statement of Opinion:

  • Electronic prescriptions are faster and less prone to loss, which could make my job easier.
  • However, it depends on how well the technology is implemented.

Wellbeing Over Time (With vs Without Policy)

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

Software Developer for a Pharmaceutical Company (Austin, TX)

Age: 29 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 3.0 years

Commonness: 8/20

Statement of Opinion:

  • Development of new digital solutions will expand, opening up more business opportunities.
  • This aligns well with the trend towards telehealth and digital transformation.

Wellbeing Over Time (With vs Without Policy)

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

Hospital Nurse (Los Angeles, CA)

Age: 56 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 4.0 years

Commonness: 10/20

Statement of Opinion:

  • This policy should improve the prescription process, reducing errors and delivery times.
  • It could change the workflow significantly but is a necessary step towards modernization.

Wellbeing Over Time (With vs Without Policy)

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

Family Physician (Rural Iowa)

Age: 62 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 1.5 years

Commonness: 5/20

Statement of Opinion:

  • Implementation could be challenging due to lack of digital infrastructure.
  • There might be initial costs, but long-term benefits seem promising.

Wellbeing Over Time (With vs Without Policy)

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

Pharmaceutical Sales Representative (Atlanta, GA)

Age: 50 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 2.0 years

Commonness: 7/20

Statement of Opinion:

  • Electronic prescriptions could potentially alter how I engage with medical professionals.
  • Adapting might take time but is critical for staying relevant.

Wellbeing Over Time (With vs Without Policy)

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

Director of Pharmacy at a Hospital (Chicago, IL)

Age: 40 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 3.0 years

Commonness: 6/20

Statement of Opinion:

  • Switching to electronic prescriptions is vital for minimizing errors and enhancing patient safety.
  • Concerns revolve around interoperability of different systems.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 6
Year 2 9 6
Year 3 9 5
Year 5 9 5
Year 10 8 5
Year 20 8 4

Healthcare Policy Analyst (Miami, FL)

Age: 53 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • This policy represents a needed change in streamlining health services.
  • Monitoring its long-term efficacy will be key, focusing on patient outcomes.

Wellbeing Over Time (With vs Without Policy)

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

Retired Patient (Boston, MA)

Age: 64 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 3.0 years

Commonness: 12/20

Statement of Opinion:

  • Reduced errors and faster prescription handling could significantly improve my quality of life.
  • Transition worries me due to resistance in older demographics to adopt new tech.

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 7 5
Year 20 6 4

Pharmaceutical Research Scientist (Denver, CO)

Age: 31 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 4/20

Statement of Opinion:

  • Electronic prescribing enhances data accuracy for research and safety monitoring.
  • It's a positive step towards integrating healthcare data systems.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $12000000 (Low: $10000000, High: $15000000)

Year 2: $8000000 (Low: $7000000, High: $10000000)

Year 3: $5000000 (Low: $4000000, High: $7000000)

Year 5: $3000000 (Low: $2000000, High: $5000000)

Year 10: $2000000 (Low: $1000000, High: $3000000)

Year 100: $500000 (Low: $200000, High: $1000000)

Key Considerations