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-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.
01Medication safety
MedSafety / Virtual Clinical Pharmacist
An advisory medication-review concept designed to help clinicians identify potential
medication risks, interactions, dosing concerns, and monitoring needs. MedSafety is
being developed as an educational and research prototype and requires qualified
clinician review.
Not validated for independent clinical use. It does not replace a licensed clinician
or pharmacist.
02Documentation
Clinical Documentation
Workflow-specific tools designed to assist clinicians with organizing, drafting, and
reviewing clinical documentation while preserving professional oversight.
Structured drafts. Clinician review.
03Decision 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.
04Education
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
05Metabolic 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.
06Hospital 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.
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.
Prefer email? Contact
info@nurumed.com. Please do not include PHI.
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.