masslight/ottehr
Mar 2025 – Apr 2026
2 Months active
Languages Used
TextJavaScriptTypeScript
Technical Skills
LicensingAI integrationReactfront end developmentfull stack development
Daniel Abrams
PROFILE
Daniel Abrams
Worked on the masslight/ottehr repository, delivering two targeted features over two months. First, implemented a licensing attribution update to ensure the project’s name was accurately reflected in legal documentation, reducing compliance risk and supporting downstream usage. Later, developed an AI Billing Suggestions Enhancement that integrated lab and radiology results into AI-driven ICD-10/CPT coding, improving coding accuracy and audit readiness. This feature included new React components for accessibility, upgraded the AI model to Gemini-3.1-flash-lite-preview, and enhanced data flow using TypeScript and JavaScript. The work emphasized maintainability, backward compatibility, and improved user experience without introducing breaking changes or bug fixes.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
1,069
Activity Months2
Your Network
30 peopleShared Repositories
30
Work History
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026: Delivered AI Billing Suggestions Enhancement for masslight/ottehr, focusing on inline AI guidance on the assessment page, improved AI prompts, and deeper integration of lab and radiology results to yield more accurate ICD-10/CPT coding while maintaining backward compatibility with older clients. Implemented UI/UX and accessibility improvements through new components for organization and accessibility. Strengthened data flow with useBillingSuggestions and useChartFields, upgraded AI model to gemini-3.1-flash-lite-preview, and expanded prompts to incorporate patient age/sex, structured procedure data, and comprehensive CPT/ICD-10 code selection logic. Addressed reliability and quality issues by fixing stale lab results, ensuring lab results reach the AI, removing debug logging, and enhancing accessibility attributes (ARIA) and disclaimers. Result: improved coding accuracy, better compliance auditing, and a more scalable, maintainable front-end flow.
1 Commits • 1 Features
Apr 1, 2026April 2026: Delivered AI Billing Suggestions Enhancement for masslight/ottehr, focusing on inline AI guidance on the assessment page, improved AI prompts, and deeper integration of lab and radiology results to yield more accurate ICD-10/CPT coding while maintaining backward compatibility with older clients. Implemented UI/UX and accessibility improvements through new components for organization and accessibility. Strengthened data flow with useBillingSuggestions and useChartFields, upgraded AI model to gemini-3.1-flash-lite-preview, and expanded prompts to incorporate patient age/sex, structured procedure data, and comprehensive CPT/ICD-10 code selection logic. Addressed reliability and quality issues by fixing stale lab results, ensuring lab results reach the AI, removing debug logging, and enhancing accessibility attributes (ARIA) and disclaimers. Result: improved coding accuracy, better compliance auditing, and a more scalable, maintainable front-end flow.
April 2026
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 (2025-03) — MassLight/ottehr: Delivered a branding and licensing attribution update to ensure the project is correctly named in licensing terms by including 'Ottehr' alongside 'Oystehr' in the LICENSE attribution. This small, focused change reduces distribution risk, improves branding integrity, and supports downstream compliance. Implemented via a targeted license-attribution update commit.
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 (2025-03) — MassLight/ottehr: Delivered a branding and licensing attribution update to ensure the project is correctly named in licensing terms by including 'Ottehr' alongside 'Oystehr' in the LICENSE attribution. This small, focused change reduces distribution risk, improves branding integrity, and supports downstream compliance. Implemented via a targeted license-attribution update commit.
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage50.0%
Skills & Technologies
Programming Languages
JavaScriptTextTypeScript
Technical Skills
AI integrationLicensingReactfront end developmentfull stack development
Repositories Contributed To
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