Inpatient falls
~75%
occur without a staff member present
Know your patient
in full context.
SymptomTrace provides a patient data layer with dynamic models that support clinical workflows for real world patient analytics through a patient digital twin.
See TwinWard in action
The Gap No One Talks About
Most ward incidents are unforeseeable.
Hospitals carry the cost of adverse events in three ways: direct medical cost, liability exposure, and reputational damage.
Due to a shrinking workforce and a rising patient load, medical staffing will become increasingly challenging, requiring the strategic adoption of technology and AI to bridge the support gap.
Average cost
$28K
per preventable fall-related adverse event
Response time
6–12 min
to unwitnessed incidents in standard wards
Contactless sensing. Continuous awareness.
No wearable. No camera. No changes to care workflows. TwinWard runs quietly in the background so your team can focus on patients, not systems.
1 Sense
Non-contact sensors installed above each bed monitor patient movement and posture — no wearable, no camera, no added workflow for nurses.
2 Detect
On-device models read posture and motion in real time, flagging leg-out and unplanned bed-exit the moment risk emerges — no footage leaves the room.
3 Alert
Instant notification reaches the right person before the situation escalates. Every event is logged with timestamp for audit and review.
Why this matters
A living model of every patient.
Clinical blind spots stem from gaps in continuity, not effort. When signals get lost between handoffs and subtle changes go untracked, teams act without full context — leading to delayed recognition and limited operational awareness.
Available today
TwinWard is our first clinical service through collaboration with medical communities.
TwinWard transforms fragmented inpatient signals into cohesive ward-level visibility, making patient data practical and helping teams understand context without hindering care delivery.
We built SymptomTrace to make patient data actionable, starting where the risk is highest.
SymptomTrace is a medical AI company dedicated to creating Patient Digital Twins, providing real-time models of patients that improve in accuracy over time. We began with inpatient wards, where data gaps pose significant risks and early detection can make a substantial difference.
Work With Us
Talk to our team
We are building the patient data layer for modern care delivery.
We are looking to speak with hospital partners, clinical collaborators, and aligned investors.