Fewer dropouts. Safer trials.
Quinoa is the safety and retention intelligence layer for decentralized oncology trials—powered by real-time patient behavior.
Capture
Adverse event
Grade 2
Nausea · 10028813
Severity
CTCAE Grade 2
Causality
WHO-UMC · Probable
Grade
Predict
A continuous intelligence engine, purpose-built for decentralized oncology trials.
Clinical Standards
MedDRA, CTCAE, WHO-UMC
Interoperability
FHIR-Native, EHR & EDC-Integrated
Data Security
HIPAA and 21 CFR 11 aligned
The problem
Standard data capture leaves massive blind spots.
Daily friction, unreported adverse events, and the quiet drift toward dropping out happen completely off the radar.
The solution
Quinoa turns scattered at-home signals into regulator-ready safety data and actionable risk predictions.
Why Quinoa
Uncover the invisible data in decentralized oncology.
Detect the hidden signals.
Patient dropout is a quiet drift. We capture early friction at home by analyzing the complete picture: EHRs, wearables, symptoms, daily check-ins, and app engagement.
Automate safety compliance.
Quinoa instantly translates patient/caregiver reports into MedDRA-coded, CTCAE-graded adverse events, complete with total source traceability.
Prevent trial attrition.
Safety and behavioral data become actionable foresight. Quinoa proactively flags at-risk participants, giving clinical teams a critical window to intervene.
Participants use Quinoa to seamlessly manage their daily care—from medication schedules to checking off tasks. This natural engagement generates a continuous, ground-truth data stream without adding any extra friction to their routine.
Appointments
Medications
Symptoms
Wearables
Tasks
Auto-sync from patient records
Today · from your records
MRI follow-up · Thursday 9:00
Appointment · added automatically
Temozolomide · 8:00 PM daily
Medication · added automatically
Log evening symptoms
Task · added automatically
Symptom log feeding in
Wearable · 62 bpm resting
Quinoa reads everyday language from the home, detects the underlying adverse event, and automatically structures it into precise regulatory standards for your team to review and sign.
MedDRA-coded
CTCAE-graded
Causality-suggested
Caregiver report
“mom hands have been numb and tingling for two days”
Peripherial neurophaty · 10034620
Grade 2
Source sentence · caregiver report, 7:42 AM
CTCAE v5.0 criterion · Peripheral sensory neuropathy, Grade 2
Causality · Kramer algorithm
Awaiting clinician review
Sign & Lock
Quinoa suggests. Clinicians decide.
Open any adverse event and trace the exact logic. Quinoa links every structured output to the original source text, the CTCAE criterion, and the causality algorithm, all secured by a 21 CFR Part 11-compliant audit trail.
Source-linked
Criterion-cited
Human-in-the-loop
Audit-ready
Nausea · 10028813 · Grade 2
Receipt 1 · Source
“…threw up his breakfast” — caregiver report, 7:42 AM
Receipt 2 · Criterion
CTCAE v5.0 — Nausea, Grade 2: oral intake decreased
Receipt 3 · Causality
Kramer algorithm — score consistent with Probable
Signed · Reviewing clinician
Audit trail · 09:14:32 UTC
Steady
Participant 007
All logs current
Participant 021
Wearable syncing daily
At risk
Participant 014
· missed 2 medication logs
· no wearable sync · 4 days
· symptom burden rising
Flag to coordinator
By analyzing behavioral shifts alongside safety data, Quinoa calculates a live dropout risk score. Clinical teams get clear context on why a participant is flagged, enabling proactive outreach before they disengage.
Continuous
Explainable
Acts early
Total visibility.
Proactive retention.
Capture the hidden friction, automate your safety compliance, and proactively prevent attrition for your most complex oncology trials.