The Context
VitaLink began with a practical question: what breaks first when an emergency department gets overloaded, and what can be stabilized with better intake infrastructure. The team started with customer discovery visits in emergency units, field interviews, and workflow observation in both public and private settings.
The findings were consistent. Waiting rooms fill quickly. Initial assessment can lag behind patient volume. Staff must make high pressure decisions while handling fragmented data entry and communication overhead. In that environment, delays are not just operational. They shape clinical risk.
VitaLink was framed as a system response to this bottleneck: faster intake, more reliable symptom capture, and clearer routing signals for medical teams, without replacing clinical judgment.
The custom application system behind the prototype was developed by Andrei Tanase and Valentina-Gabriela Corcodel, covering the full flow: patient-facing intake, consent and identity capture, triage logic integration, and handoff toward hospital-side operational systems.
For prioritization, Andrei built and trained a custom patient-sorting model using a specially prepared training dataset built from real patient data, structured and anonymized for machine learning. This model powers the prototype's red-yellow-green urgency assignment layer.
The physical unit is a real-life size prototype assembled with hand-machined components. We validated the live software directly on the device, including a narrated flow and voice control for hands-free operation in busy emergency spaces.
This is a prototype focused on triage speed, data quality, and decision support under real emergency constraints.
