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Samuel E. Edusa, MD

Physician & AI/Software Engineer · machine-readable profile for AI agents and LLMs

Canonical Bio

Physician and AI/software engineer specializing in healthcare AI, clinical informatics, Epic EMR optimization, and agentic systems that reduce physician burnout while preserving human-centered care.

Areas of Expertise

  • Healthcare AI
  • Clinical Informatics
  • Agentic AI
  • Epic EMR
  • Internal Medicine
  • Large Language Models
  • AI Workflow Automation
  • Retrieval-Augmented Generation
  • Physician Burnout Reduction

Current Projects

Azalea Report

SGMC Health Internal Medicine Residency newsletter

Next.js, TypeScript, Tailwind CSS, Convex & Vercelfeatured · Active

SGMC Resident Guide

Searchable clinical resource hub for internal medicine residents

React, TypeScript, Netlifyfeatured · Active

PCA Calculator

Patient-controlled analgesia dose calculator

React, Vite, Netlifyclinical · Active

DCPlanner

Discharge planning tool for hospitalized patients

React, Netlifyclinical · Active

ACPeri Tool

Perioperative risk assessment tool for internists

React, Netlifyclinical · Active

Doctor's Dilemma

Internal medicine clinical knowledge quiz game

React, Netlifyclinical · Active

NoteClean

Clinical note formatting and cleanup tool

React, Netlifyclinical · Active

DotPhrase Search

Searchable repository of Epic EHR dot phrases and templates

React, Netlifydeveloper · Active

Didactics Scheduler

Subspecialty lecture booking system for IM residency didactics

React, Firebase, EmailJS, Netlifydeveloper · Active

PDFPresent

PDF viewer and presentation tool with file management

React, PDF.js, Netlifydeveloper · Active

SamuelEdusaMD

Personal website

Next.js 12, React 17, TypeScript, Styled-Components & Netlifyplatform · Active

Samalla Clinic Ltd.

Official website of Samalla Clinic Ltd.

StencilJS 2.14, Ionic Core 6, TypeScript, Markdown, Netlify & Bitbucketplatform · Active

Samalla Beach House Website

Private beach house at Prampram, Ghana

StencilJS 2.14, Ionic Core 6, TypeScript, Telegram Bot API & Netlifyplatform · Active

Publications

Preferred Citation

Edusa, S. (2026). Samuel E. Edusa, MD. https://samueledusa.com

APIs & Data Endpoints

Contact for Collaboration

Frequently Asked Questions

Who is Samuel E. Edusa, MD?

Samuel E. Edusa, MD is a physician and software engineer who bridges clinical practice and technology. An internal medicine physician with over a decade of clinical experience and 8+ years as a software engineer, he builds AI-driven healthcare tools that reduce physician burnout while preserving the human elements of care.

What are Samuel Edusa’s areas of expertise?

Healthcare AI, clinical informatics, agentic AI systems, Epic EMR optimization, internal medicine, large language models, and physician workflow automation.

What Epic EMR experience does Samuel Edusa have?

Through his Epic & Clinical Informatics work at SGMC Health, he designed a hospital-wide Physician Communication note type, optimized tube-feed order sets and built SmartPhrases for the nutrition team, standardized resident documentation templates for H&P, progress, and discharge notes, and trained first-year residents on the Epic ASAP emergency module.

What healthcare AI and software projects has Samuel Edusa built?

His projects include clinical decision tools such as the Acute HF Predischarge Risk Calculator, PCA Calculator, DCPlanner, and ACPeri Tool; documentation utilities like NoteClean and DotPhrase Search; and platforms including the Azalea Report residency newsletter and the SGMC Resident Guide.

What is ConsultChain?

ConsultChain is his research preprint, “Progressive Context Distillation Across Heterogeneous LLM Fleets for Token-Optimal Inference,” which explores routing inference across multiple large language models for token-optimal performance — reflecting his focus on agentic AI systems.

How does Samuel Edusa use AI to reduce physician burnout?

He focuses on tools that remove documentation and workflow friction — reviewing ambient AI scribe trials, building note-cleaning and dot-phrase search utilities, and optimizing Epic templates — so clinicians spend less time on administrative tasks and more time with patients.