Veino - IV Safety Monitoring System

Every single day, nearly 10% of all hospital patients suffers from IV infiltration, where fluids leak into tissue instead of the vein. For infants and sedated patients who can’t speak up, this leads to permanent nerve damage and tissue loss before a nurse ever sees the swelling.

I developed Veino to catch what the human eye misses. Using high-sensitivity "hero" sensors, Veino detects microscopic pressure spikes under the skin the moment a leak begins. Data is sent instantly to a portable Nurse Clip, allowing staff to intervene hours before an injury becomes visible.

But I didn't stop at the skin's surface. I created Veino Pro to bring this same digital precision inside the body. By monitoring internal pressure during invasive procedures like endoscopies, Veino Pro provides real-time intelligence to prevent procedural complications before they happen.

We are moving away from reactive "check-and-guess" medicine. With Veino, we are turning a common medical failure into a smart, digital solution that saves limbs and lives.

"I want IV Infiltrations to be something we read about in history books."

Links :- https://www.veino.ca/

I created Veino because IV complications are a major but preventable issue in hospitals.

In Canada, 961,000 patients experienced IV‑related inflammation in 2023–24, and many injuries happen simply because no one is present to notice early warning signs.

As my research states, “Many IV failures go unnoticed because clinicians cannot always remain in every patient’s room.”

This motivated me to design a product that continuously monitors the IV site and alerts clinicians instantly.

My inspiration came from a personal event.

When my mother was hospitalized in 2009, her IV failed without anyone noticing until a nurse happened to look in.

The problem I wanted to solve was: How can we detect IV complications before swelling, pain, or infection appear?

Nurses may only check an IV every “one to four hours,” leaving a dangerous monitoring gap.

Veino closes that gap by continuously measuring venous pressure and identifying abnormal patterns before symptoms develop.

Veino benefits patients, nurses, and hospitals.

Patients receive safer IV therapy, nurses get instant alerts even outside the room, and hospitals reduce preventable complications. As my trifold states, “Doctors, nurses, and clinicians will use this device to make sure the patient’s arm is at no risk.”

Veino shifts IV care from reactive to proactive. Instead of waiting for visible damage, Veino detects subtle pressure changes early. My book describes this best: “Veino possesses the capability to predict potential issues proactively.”

To begin, I did background research to understand why IV complications happen so often. I used trustworthy sources like medical journals, hospital reports, and government health statistics. I made sure each source was reliable by checking who wrote it, when it was published, and whether the information matched what nurses told me during interviews.

From my research, I learned that nurses may only check an IV every “one to four hours,” which creates a dangerous monitoring gap. This helped me define my main question: How can we detect IV problems early, before swelling or pain appear? Once I understood the problem clearly, I started my design process.

I followed an engineering design cycle: research → brainstorm → sketch → build → test → improve.

I decided on a dual‑device system—one device measures pressure at the IV site, and a second wearable device alerts the nurse. I kept my designs simple at first, then improved them based on what I learned during testing.

To protect my idea, I’m not sharing technical details here, but I can describe the general materials I used: a small pressure‑sensing module, a microcontroller, a basic display, and a wireless clip.

For testing, I simulated different IV conditions and watched how the device responded. I repeated tests many times to collect consistent data.

I controlled variables by keeping the tubing, flow rate, and setup the same each time.

I checked whether the color‑coded alerts (green, yellow, red) appeared correctly and whether the wearable clip responded instantly.

When I tested Veino, I found that IV problems can be detected much earlier when pressure is monitored continuously. During my simulations, the device reacted to small pressure changes long before any swelling or redness would normally appear. This showed me that early warning signs are there they’re just too subtle for people to see without help.

I also discovered that the dual‑device system worked the way I hoped. The main device picked up changes at the IV site, and the wearable clip alerted right away. Even without sharing technical details, I can say that the alerts were fast, clear, and easy to understand. This proved that nurses don’t need to be in the room to know something is wrong.

Another important result was how effective the color‑coded system was. Green meant everything was stable, yellow meant caution, and red meant action was needed. During testing, these colors changed exactly when they should, and they were easy to see from across the room. This confirmed that simple visual signals can make IV monitoring safer.

I repeated my tests many times to make sure the results were consistent. Instead of showing raw data, I used summary graphs to compare how often the device detected early warning signs. The patterns were clear: Veino responded reliably across different simulated conditions.

Overall, my results showed that Veino can identify early IV complications that would normally go unnoticed. The system reacted quickly, the alerts were easy to understand, and the wearable clip made it possible to notify someone instantly. These findings support my conclusion that continuous monitoring can help prevent IV injuries before they become dangerous.

From my results, I learned that IV problems can be detected much earlier than most people realize. When I tested Veino, the device reacted to small pressure changes long before any swelling or redness would appear. This showed me that early warning signs are always there, we just haven’t had a good way to notice them. My results proved that continuous monitoring can catch these signs before they turn into something dangerous.

Another important conclusion I drew is that nurses don’t need to be standing beside the patient for safety to improve. The wearable alert clip responded instantly during my tests, which means a nurse could be down the hall and still know something is wrong. This could make a big difference in busy hospitals where staff can’t be everywhere at once.

I also learned that simple signals can be incredibly powerful. The color‑coded alerts green, yellow, and red changed exactly when they were supposed to. This told me that complicated technology isn’t always necessary; sometimes the clearest solutions are the most effective. The colors made it easy to understand what was happening without needing any technical knowledge.

Overall, my results showed that Veino can help prevent IV complications by giving early, reliable warnings. This matters because IV problems affect millions of patients every year, and many of those injuries are preventable. My project taught me that a well‑designed system can make healthcare safer, faster, and more proactive.

Veino was my own idea, and a later conversation with a healthcare professional helped me realize that this pressure‑sensing approach could be expanded far beyond IVs.

Improvements

Shrink both devices

Reduce weight and increase comfort

Next Steps

Apply pressure‑sensing to devices like endoscopes

Detect twisting, blockage, or unsafe force in tight internal spaces

Add a micro‑camera so the system can go inside the body

Combine internal visuals with pressure data for earlier warnings

Long‑Term Goal

Protect patients across many procedures, not just IV therapy

I want to thank the people who helped make this project and product stronger.

The team at the IV Wellness Clinic shared real‑world IV challenges during my interview, helping me shape a problem that truly matters.

I’m grateful to the healthcare professional who encouraged me to think about expanding pressure‑sensing technology to other medical tools. That conversation helped inspire my future‑steps vision.

I’m proud to represent Surrey Academy of Innovative Learning, and I thank the school board, my teachers, and my mentors for guiding me and helping me communicate my work clearly.

Most of all, I thank my family. They supported me through endless hours of building, testing, and redesigning and they funded every material I suddenly needed, even when I asked at the most unexpected times.

Their belief in me made this product possible.

Below are the main sources I used to support the background research for my project. All design ideas, engineering decisions, and product development were my own.

Journal Articles

National Center for Biotechnology Information. (2024). Article on IV infiltration and related complications. https://pmc.ncbi.nlm.nih.gov/articles/PMC12585079/ (pmc.ncbi.nlm.nih.gov in Bing)

Government Data

Statistics Canada. (2024). Table 13-10-0145-01: Health characteristics, annual estimates. https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=1310014501

Software Documentation

Arduino. (2024). Arduino IDE software. https://www.arduino.cc/en/software

Medical Technology & Industry Information

ivWatch. (2024). IV infiltration monitoring and patient safety. https://ivwatch.com

Patent Database

Google Patents. (2024). Medical device and sensor technology search database. https://patents.google.com

Clinic Interview

Wellspring IV Infusion Clinic. (2024). Informal interview and discussion on IV challenges and patient safety. Surrey, BC.