PR TOS  HEALTH
C L I N I C A L    I N T E L L I G E N C E

Predict the crisis.
Prevent the collapse.

Clinical-protocol-driven AI infrastructure that predicts deterioration, surfaces intervention pathways, and prevents the crisis before it becomes real.

Patent Pending
Live
1
Hospital
Monitoring
20
Patients
Interval
12h
Check-in Cycle
The Platform
Four layers of clinical intelligence.
Risk Engine
Risk Scoring
Multiple clinical parameters scored in real time against patent-pending algorithm thresholds calibrated specifically for post-transplant physiology. Critical classification in seconds.
Detection
Early Trend Detection
Monitors deterioration velocity across all vital parameters. Identifies patients trending toward critical status before any threshold is breached — giving clinicians the window to act early.
Personalisation
Personalized Baseline
Every patient's stable-period readings are used to construct a personal clinical baseline. Deviation is measured against the individual — not a population average. Precision at the patient level.
Infrastructure
Frictionless Data Pipeline
Zero hardware. Zero app installs. Zero portal logins. Patient data flows in through channels they already use — parsed, structured, and delivered to the clinical dashboard in real time.
The Origin

Built from the Inside

The Patient

"Two months after my liver transplant, I went home with a list of warning signs but no way to know if what I was feeling was one of them. The gap between clinic visits felt long. I wanted someone — or something — watching."

The Surgeon

"We see patients at their worst and at their best — but rarely in between. Most deterioration happens at home, quietly, over days. By the time they come back, the window to intervene easily has often closed."

A patient who lived the gap. A surgeon who saw it every day. Together they built ProtosHealth — clinical intelligence that watches between the visits, so clinicians can act before the crisis, not after it.

Built by a liver transplant recipient and his transplant surgeon

Join Our Research Cohort