Scripts for estimating time and cost savings from OSPO proposed implementation of the SHARE IT Act
The CMS OSPO has created automated metadata generation processes and tooling for the agency's 10,000+ repositories that we estimate can reduce processing time from 1 hour (minimum) to ~10 minutes per repository.
A list of core team members responsible for the code and documentation in this repository can be found in COMMUNITY.md.
| Resource | URL |
|---|---|
| code.json Docs | https://github.com/DSACMS/gov-codejson |
| code.json webform | https://dsacms.github.io/codejson-generator/ |
| webform source | https://github.com/DSACMS/codejson-generator |
| Automated code.json generator | https://github.com/DSACMS/automated-codejson-generator |
# Input variables for metadata automation
total_repositories = 10000
automated_percentage = 0.80
manual_time_minutes = 60 # Original manual time per repo
automated_time_minutes = 2 # Average automated processing time
manual_portion_time_minutes = 10 # Time for manual portion after automation
hourly_rate = 80 # GS-13/14 fully-loaded $100-150/hour. Contractor rates range $125-200/hour.
years_to_project = [1, 5, 10]
# Input variables for hypothetical code reuse
avg_project_cost = 1000000 # $1M per project
num_projects = 100 # Number of new projects per year
reuse_rates = [0.01, 0.05, 0.10]
efficiency_factor = 0.8 # Adjustment for reuse implementation effort
# Input variables for actual code reuse
annual_it_spend = 2800000000 # $2.8B annual IT spending
development_budget = 700000000 # $700M development budget (25%)
reuse_rates = [0.01, 0.05, 0.10]
efficiency_factor = 0.8These rough estimates are for prospective work that we expect will need to be done in the future, and do not represent a reduction in current work that is already happening, or a reduction in money that is already being spent.
- 94% reduction in processing time
- 9,400 hours saved annually
- $752K saved in year one
- $7.52M saved over 10 years
| Period | Time Saved (Hours) | Cost Savings |
|---|---|---|
| 1 Year | 9,400 | $752,000 |
| 5 Years | 47,000 | $3.76M |
| 10 Years | 94,000 | $7.52M |
- Average Project Cost: $1,000,000
- Number of New Projects per year: 100
- Reuse Implementation Effort: 80%
- Estimate of Annual IT Spend: $100,000,000
| Reuse Rate | Cost Savings |
|---|---|
| 1% reuse | $800,000 |
| 5% reuse | $4,000,000 |
| 10% reuse | $8,000,000 |
| 25% reuse | $20,000,000 |
| 50% reuse | $40,000,000 |
Based on publicly available information, CMS's annual IT spending is approximately $2.8 billion (FY2023). This includes both internal systems and contractor-operated systems.
Breaking this down further:
- Major IT investments: ~$2.3 billion
- Operations and maintenance: ~$2.1 billion
- Development, modernization, and enhancement: ~$700 million
Based on the reported $700,000,000 DME budget:
| Reuse Rate | Cost Savings |
|---|---|
| 1% reuse | $5,600,000 |
| 5% reuse | $28,000,000 |
| 10% reuse | $56,000,000 |
| 25% reuse | $140,000,000 |
| 50% reuse | $280,000,000 |
- https://www.usaspending.gov/agency/centers-for-medicare-and-medicaid-services
- https://www.cms.gov/about-cms/agency-information/performance/budget-and-performance
- https://www.itdashboard.gov/
- https://oversight.house.gov/fitara
To run the analysis and generate graphs, install the required dependencies:
pip install -r requirements.txt
python generate_savings_reuse_analysis.py
This will generate both the analysis and save the visualization graphs as PNG files.
The following dependencies are needed to run the script. They are listed in requirements.txt:
matplotlib>=3.7.1
numpy>=1.24.3
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A Software Bill of Materials (SBOM) is a formal record containing the details and supply chain relationships of various components used in building software.
In the spirit of Executive Order 14028 - Improving the Nation’s Cyber Security, a SBOM for this repository is provided here: https://github.com/DSACMS/share-it-savings/network/dependencies.
For more information and resources about SBOMs, visit: https://www.cisa.gov/sbom.
This project is in the public domain within the United States, and copyright and related rights in the work worldwide are waived through the CC0 1.0 Universal public domain dedication as indicated in LICENSE.
All contributions to this project will be released under the CC0 dedication. By submitting a pull request or issue, you are agreeing to comply with this waiver of copyright interest.