My Medic Watch enables continuous, real-world monitoring that supports safer studies, richer datasets, and deeper insight into outcomes over time.
Clinical trials and post-market studies demand timely, accurate, and personalised data. But traditional methods are:
Infrequent (relying on participant recall or diaries)
Invasive (requiring in-clinic assessments)
Expensive (needing high-frequency check-ins)
What if your trial participants could passively generate precise event data — 24/7 — with no change to their daily life?
My Medic Watch is clinically validated and enables next-generation data capture for decentralised and hybrid trials.
No recall bias. No manual logging. Just pure, participant-driven data.
Detects seizures, cardiac irregularities, and falls in real-time with greater accuracy
Ingests multiple vital signs via consumer-grade smartwatches
Personalised AI reduces noise, increases specificity
Works across therapeutic areas: neurology, cardiology, ageing
“My Medic Watch gave us longitudinal data without disrupting the trial experience and proved vital in assessing early warning markers.”
— Principal Investigator, Academic Research Group
Real-time seizure frequency tracking.
Objective event logging, time-stamped.
Passive rhythm data, escalations.
Rich datasets on mobility and frailty risk.
Real-world safety signal detection.
My Medic Watch is built for insurer-scale programs and can be rolled out across priority member segments without operational friction.
Uses commercial smartwatches
Stream data directly to your trial platform
Segment by intervention/control, risk level, etc.
High, due to non-invasive passive setup
Meets international regulatory standards
We actively partner with:
Pharmaceutical companies
CROs
Academic institutions
Digital biomarker initiatives
Government research bodies
Surveillance à distance continue qui offre aux équipes de soins de santé une visibilité entre les visites et permet une intervention plus rapide et proactive.
Application intelligente alimentée par l'IA installée sur les montres connectées commerciales pour détecter des épisodes médicaux tels que les chutes, les crises et les événements cardiaques
