Physician-built, workflow-specific healthcare AI

Practical medical AI for the workflows healthcare teams actually use.

NuruMed designs clinician-guided tools for medication safety, clinical documentation, decision support, medical education, and resource-limited hospital systems. Each tool is shaped by clinical experience and the realities of the setting in which it will be used.

  • Physician-led
  • Clinician-in-the-loop
  • Designed for real clinical workflows

Physician-built AI for the next generation of medicine.

A healthcare AI company developing clinician-guided tools for specific medical and operational workflows.

Solutions

What NuruMed builds.

NuruMed develops focused healthcare AI concepts around the work clinicians, educators, and hospital teams already do. The areas below represent current directions, not a fixed product catalog.

02 Documentation

Clinical Documentation

Workflow-specific tools designed to assist clinicians with organizing, drafting, and reviewing clinical documentation while preserving professional oversight.

Structured drafts. Clinician review.
03 Decision support

Clinical Decision Support

Context-aware tools that organize relevant information and support clinical reasoning. They are designed to assist - not replace - professional judgment.

Advisory by design.
04 Education

Medical Education

AI-assisted lecture, assessment, and question-bank tools designed for clinicians, educators, and healthcare training programs.

  • Lecture generator
  • MCQ generator
  • Residency to fellowship
05 Metabolic health

Nutrition and Metabolic Health

Clinically informed educational and workflow tools supporting nutrition, obesity medicine, and metabolic-health programs.

Clinically informed education and workflow support.
06 Hospital systems

Resource-Limited Hospital Systems

Practical documentation, medication-review, education, and hospital-workflow concepts designed with constrained clinical environments in mind.

Built around local realities.

A broader capability

Have a workflow that does not fit a standard product?

NuruMed also develops customized medical AI applications for specific clinical, educational, and operational needs. The tools above are examples of what focused, physician-guided development can produce.

Discuss a custom project
Additional service

Medical website development and search-ready information architecture.

Visit NuruMed Sites

Global health

Designed with resource-limited hospitals in mind.

NuruMed's early research direction is informed by physician teaching, clinical practice, and systems work involving mission-driven hospitals in Kenya and Rwanda. The goal is to develop practical tools that respect local workflows, infrastructure, staffing, and clinical priorities.

This describes a research direction. It does not claim deployment, validation, regulatory approval, or a formal institutional partnership.

01

Local workflows

Understand how care is actually delivered before defining the technology.

02

Available resources

Account for staffing, formularies, connectivity, equipment, and referral options.

03

Practical adoption

Prioritize clear interfaces, appropriate training, and realistic implementation.

Research & safety

Research, responsibility, and clinical oversight.

Responsible healthcare AI begins with a clear boundary: these systems advise and organize; qualified professionals remain responsible for clinical care.

01

Clinicians remain responsible for every clinical decision.

02

NuruMed tools are designed as advisory systems.

03

Tools must be adapted to local workflows and resources.

04

Limitations and uncertainty should remain visible to users.

05

Development should proceed through staged testing and evaluation.

06

No autonomous diagnosis, prescribing, or treatment decisions.

Clinical disclaimer

NuruMed applications currently presented on this website are development, educational, or research concepts unless explicitly stated otherwise. They are not substitutes for qualified medical care and are not validated for independent clinical use.

Physician-founded

Founded by a physician who understands the workflow.

NuruMed was founded by Hany Youssef, MD, a physician board-certified in Internal Medicine and Obesity Medicine. His background includes more than 20 years of hospital medicine, telemedicine, clinical leadership, and international medical education. He is also pursuing graduate study in artificial intelligence through the University of Colorado Boulder.

Physician-founded

Clinical experience informs what is built, how it is evaluated, and where limits belong.

Workflow-specific

Each concept begins with intended users, a defined setting, and a real operational need.

Clinician-guided

Professional review remains part of the design rather than an afterthought.

Project discussion

Start with the healthcare problem.

You do not need a technical specification. Describe the healthcare problem, intended users, setting, and desired outcome. Use the structured inquiry form, or let Amy help organize the request through a short conversation.

01Define

Clarify the problem, users, setting, and constraints.

02Shape

Translate the need into a clinician-guided workflow concept.

03Evaluate

Identify appropriate guardrails, testing, and next steps.

Professional project inquiry

Tell us what your team needs.

Share a concise, non-PHI project description. NuruMed will review whether the request aligns with its healthcare AI capabilities.

Describe the workflow and desired outcome only. Do not include patient information.

Do not enter patient names, dates of birth, medical-record numbers, protected health information, or urgent clinical questions.

Illustrated portrait of Amy, NuruMed's project-intake assistant

Amy from NuruMed

Project-intake assistant

Amy helps organize a healthcare AI project request. She is not a clinical chatbot and cannot provide patient-specific medical advice.

Do not enter patient names, dates of birth, medical-record numbers, protected health information, or urgent clinical questions.