Ramnarayan Paragi – Data-Driven Health Strategy & Analytics

I build lightweight, AI-informed tools for rural health policy, medical education, GME workforce planning, and research strategy – using open data, automation, and clear metrics to support senior leadership decisions in academic medicine and health systems.

Rural health & workforce GME & LCME accreditation AI & decision support Dashboards & GitHub Actions
Academic medicine · Strategy · Analytics
Portfolio of GitHub projects and live GitHub Pages sites.

Rural Health & Workforce

Automated monitors and tools focused on rural hospitals, provider pipelines, and health policy signals.

Live dashboard

Rural Health Signal Monitor

RSS · GitHub Actions · Rule-based “AI” · Policy monitoring

A fully automated daily monitor that ingests rural health policy news from multiple RSS feeds and produces a structured digest with risk, opportunity, GME, and Deep South (LA, MS, AR, AL) signals. Runs entirely on GitHub Actions with no paid APIs.

Policy analytics

Rural Health Bill Tracker

Congress · Rural hospitals · Telehealth · Critical access

A bill-tracking pipeline exploring how to scrape, filter, and summarize federal legislation related to rural health, CAHs, telehealth, and workforce incentives.

AI, Clinical Tools & Governance

Curated frameworks to safely vet AI tools for clinical, educational, and research settings.

AI governance

Vetting AI Tools in Healthcare & Education

Risk assessment · Bias · Governance · Policy

A structured framework and checklist to assess AI tools used in clinical care, education, and administration, with emphasis on bias, transparency, data use, and alignment with institutional policies.

Medical AI

MedAI Lexicon

Health AI · Definitions · Educational resource

A living lexicon of AI concepts translated for clinicians, educators, and administrators – designed to support curriculum development, grant writing, and informed decision-making.

Medical Education, GME & Analytics

Tools and experiments that link admissions, match outcomes, and training programs to workforce needs.

Predictive modeling

Predictive Model – Match Success

Mock data · GME · Analytics

A sandbox predictive model using mock data to explore how student metrics, application patterns, and institutional factors relate to residency Match outcomes.

Health systems

Healthcare Analytics Experiments

Public datasets · Policy · Delivery systems

A collection of experiments analyzing provider supply, access, and outcomes. Serves as a sandbox for prototyping visualizations and metrics.

Sports science

SwimTech – Elite Swimming Analytics

Wearables · Biomechanics · Performance

A side project combining AI, wearables, and biomechanics to understand elite swimming performance through human performance analytics.

About & Skills

I work at the intersection of academic medicine, strategy, and analytics — turning messy, fragmented data into clear narratives, scenario options, and decision tools for deans, department chairs, and health system leaders. My work connects rural health and workforce policy with the realities of GME expansion, LCME/ACGME standards, and financial constraints.

I enjoy designing strategy-ready prototypes — small, opinionated tools that make it easier for leadership to see trade-offs, align stakeholders, and move from discussion to execution. A recurring theme in my work is building governance-minded, future-oriented frameworks for AI adoption, workforce planning, and research growth across schools, hospitals, and health systems.

Skills & tools

Python & GitHub Actions RSS / web data pipelines Data visualization & dashboards Health workforce analytics Rural health & GME strategy LCME / ACGME CQI AI tool vetting & governance Policy & regulatory scanning Strategic planning & roadmapping Executive-ready briefing & storytelling Change management & stakeholder alignment Cross-institutional partnerships Health system finance awareness (DGME/IME, Medicaid) Metrics design & performance frameworks