Let’s build the next-generation medical decision support platform.

I’m Dmitry, a senior software architect and developer with 25+ years of experience designing, building, and scaling enterprise systems. I’m developing an open-source medical graph and decision-support platform — a system that bridges fragmented healthcare data, connects legacy databases with modern intelligence, and empowers clinicians to make faster, safer, and smarter decisions.

The vision: a graph-based, intelligent data engine that integrates with existing EHRs, EMRs, and healthcare APIs, capable of reasoning across patient, clinical, and operational data in real-time — something traditional relational and non-relational databases simply can’t do efficiently today.

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The Problem

Healthcare is drowning in data silos.
Clinics, hospitals, and telemedicine providers struggle to:
- Integrate and query data across incompatible systems (EHR, lab, imaging, billing).
- Gain real-time insights across structured and unstructured data.
- Support decision-making for clinicians, not just administration.
- Manage compliance and interoperability (FHIR, HL7, HIPAA) with agility.

Existing platforms like Epic and Cerner are too rigid, too costly, and too closed — leaving small and mid-size providers underserved and innovators blocked.

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The Solution

An open, extensible graph-driven medical platform with built-in intelligence, storage abstraction, and interoperability.

The engine already includes:
- Pluggable persistence layer — switch seamlessly between RocksDB, Sled, or TiKV
- Interactive & CLI modes for graph querying and management
- Proxy support for PostgreSQL, MySQL, Redis — connect and extend existing data
- Data synchronization across storages
- Next steps: query parsing, security, distributed execution, and FHIR/GIS data modeling

This foundation will power future layers for:
- Decision support (AI + knowledge graphs)
- Telemedicine and patient interaction tools
- Clinical analytics and workflow optimization
- Secure multi-clinic collaboration networks

Repo: https://github.com/dmitryro/graphdb
Website: https://medrobotix.io/resources/downloads

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What I’m Looking For

I’m seeking cofounders and collaborators with domain insight and real-world connections who want to build the future of healthcare data technology:

- 🩺 Clinicians / medical professionals — frustrated with inefficiencies, ready to test, advise, and guide product direction.
- Healthcare business developers / operators — who can open doors to pilot clinics, partnerships, and early adopters.
- Healthcare software engineers / integrators — experienced with HL7, FHIR, and healthcare data standards.
- Researchers / software developers — passionate about medical knowledge graphs, GIS, and clinical AI.

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Why Now

Open-source adoption in healthcare is accelerating, but few tools bridge low-level storage performance, compliance, and decision support intelligence.
This project already has the architectural foundation — the next stage is to extend, validate, and scale with the right team.

I’m keeping the project public and open until enterprise traction comes — collaboration and visibility are key right now.
Once we attract pilot partners and contributors, we can evolve toward a sustainable, enterprise-grade model.

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Join Me

Help shape an open, intelligent, and clinician-centric healthcare data platform that fixes what legacy systems can’t.

If you want to:
- Build something clinically meaningful and technically ambitious,
- Bridge healthcare and technology with real impact,
- And grow with a project that’s already running, not just on paper,

Let’s connect.
Note: I'm not looking for developers. I'm interested to join forces with people that have medical background specifically and have network of medical professionals to validate and pivot, if necessary, the product. I have all the necessary dev skills myself as I'm highly experienced developer and architect with over 25 years of experience.

The presence in U.S. is absolutely necessary for this.
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Contact Me:
Portfolio: https://linktr.ee/dmitr

I am seeking a

Generalist cofounder

Industry

Healthcare

Startup Location/s

New York City

Business Stage

Idea/Concept Stage

Funding Stage

Self-Funded / Bootstrapped

My Location

New York City

Project Type

Full-Time Project

Other Info

N/A