Statim - Immediate Remote Surgery

Imagine if we can descentralize the health care system in the United States' rural areas, providing 25% of the population a reliable way to treat acute, emergent cases. That's what we do.

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Inspiration

The physical infrastructure of rural healthcare is collapsing. Over 180 rural hospitals have closed in the US since 2010, creating massive "medical deserts" where patients are forced to travel hours for emergency trauma care. Building new hospitals is too expensive, and emergency Medevac flights cost upwards of $90,000 per trip. However, two massive technological shifts just collided to make a solution possible:

  • Telecom Orchestration: The recent release of the CAMARA API, which allows developers to programmatically request prioritized, low-latency 5G network slices (Quality on Demand).
  • Hardware Accessibility: The substantial decrease in the cost and size of modular surgical robotics.

We realized we don't need to build hospitals; we just need to deploy decentralized nodes.

What it does

Statim is a decentralized tele-surgery infrastructure. It is a platform and ecosystem that allows governments and public health ministries to treat rural populations at a significantly lower cost than building physical infrastructure.

Using our Surgeon's Dashboard, an urban specialist can connect to a remote Statim mobile node (a van equipped with surgical actuators). When a procedure begins, our software uses the CAMARA API to lock down a dedicated 5G URLLC (Ultra-Reliable Low Latency Communication) network slice, ensuring zero network congestion and jitter.

Economically, it shifts the government's burden from massive Capital Expenditures (CapEx) (a small hospital can cost up to $50 million) to sustainable Operating Expenses (OpEx).

How we built it

We architected a full-stack application specifically optimized to demonstrate real-time, low-latency telemetry and network orchestration.

Frontend: Built with React and Next.js, styled with Tailwind CSS to replicate a mission-critical, dark-mode medical interface (inspired by aerospace and robotic surgical dashboards), and deployed via Vercel.

Backend & Telemetry: We implemented a Node.js backend utilizing WebSockets (Socket.io) to handle the high-frequency, bidirectional data streams required for simulated haptic feedback, robotic actuator commands, and patient vitals.

Network Orchestration (CAMARA API): We built a custom middleware layer to mock the CAMARA Quality on Demand (QoD) API. When the surgeon triggers the network slice, our backend executes a simulated REST API handshake with the telecom core. This dynamically shifts the WebSocket's packet delivery logic from "Standard 5G" (where we actively inject randomized jitter and 50ms+ latency) to a prioritized "URLLC Slice" (locking the simulated ping strictly between 8ms–12ms). This allowed us to visually and functionally demonstrate the exact network behavior of edge-computed tele-surgery.

Challenges we ran into

The biggest challenge was figuring out how to visually represent invisible network infrastructure, since we didn't have direct access to the CAMARA API usage, since we need to have a partnership with a telecom company to use it. How do you make a judge feel the difference between standard internet and a 5G network slice? I had to carefully design the UI's "Network Health" widget to clearly communicate that our platform isn't just sending data—it is actively commanding telecom infrastructure to prioritize a human life. Additionally, balancing the dual narrative of a highly technical edge-computing pitch with a macro-economic B2G business model took careful structuring.

Accomplishments that we're proud of

I am incredibly proud of designing a highly polished, enterprise-grade medical interface in under 24 hours. More importantly, I'm proud of building a project that bridges the gap between pure software engineering and real-world economics. Statim isn't just a cool tech demo; it has a viable Hardware-as-a-Service (HaaS) business model that could solve a multi-billion dollar public health crisis.

What we learned

I learned a massive amount about network orchestration and edge computing. Standard internet protocols rely on "best effort" delivery, which is entirely unacceptable when a lag spike could be fatal. Diving into how the CAMARA API allows developers to bypass the public internet backbone and establish guaranteed Quality of Service (QoS) was eye-opening.

I also learned a lot about the dynamics of the health care system and how the government allocates its budget for those rural areas, which represent approximately 25% of the country's population.

What's next for Statim - Immediate Remote Surgery

Localized Hardware Integration: Moving beyond the UI to test our network orchestration logic with physical, modular robotic pincers using local edge transceivers.

Regulatory Navigation: Initiating compliance reviews with regulatory bodies (like the FDA) to establish safety frameworks for tele-operation over commercial 5G slices.

Pilot Deployment: Pitching the unit economics of our B2G model to secure funding from the $50 Billion Rural Health Transformation Program for a pilot launch in a remote agricultural zone.

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