I have contributed to multiple applied health IT and analytics projects that translate research into usable software and decision-support tools for healthcare stakeholders. These projects include building and maintaining toolkits for home health performance analytics and Medicaid data quality remediation, as well as developing web-based infrastructures to publish and operationalize computable biomedical knowledge artifacts.
Health Informatics
Data Quality
Analytics
Public Sector
Desktop + Web
Home Care Quality Toolkit (HCQT)
A desktop application to summarize, visualize, and compare the performance of Home Health Agencies (HHAs)
using Home Health Compare (HHC) data.
- Core capability: performance comparison and visual analytics for HHA measures.
- Typical outputs: summary tables, agency comparisons, trend plots, and quick benchmarking views.
- Target users: analysts, administrators, and quality improvement stakeholders.
Tech used: Tcl/Tk, Python, Gnuplot, SQLite
Data Quality Toolkit
A toolkit funded by the Maryland Department of Health (MDH) to identify, document, and support remediation of
Medicaid Management Information System (MMIS) data defects.
- Core capability: data defect identification and structured tracking to support remediation workflows.
- Operational value: improved reliability of downstream analytics and reporting.
- Stakeholders: state health administration teams and collaborating analysts.
Tech used: Tcl/Tk, C++, Python, Gnuplot, SQLite
Transition Plan of a Federal System
A comprehensive transition plan for migrating a Maryland federal/state web system from one staging environment to another,
emphasizing operational continuity and controlled risk.
- Scope: hardware update requirements, code refactoring requirements, and cost estimation.
- Focus: deployment readiness, dependency mapping, and phased transition strategy.
- Deliverable: actionable plan for administrators and engineering teams.
Tech used: Systems planning, deployment documentation, cost estimation (tech stack varied by environment)
CBK.PUB — Public Repository for Computable Biomedical Knowledge
A public repository for publishing computable biomedical knowledge artifacts (CBKs) to improve findability,
accessibility, interoperability, and reuse.
- Core capability: publishing and indexing CBK artifacts with web-based access.
- Design goals: standardized metadata, lightweight publishing workflow, and improved discoverability.
- Audience: biomedical informatics researchers, developers, and learning health system stakeholders.
Tech used: HTML, CSS, jQuery, Postgres, REST API