Evidence at the
point of care.
Physicians are aware of less than 10% of the data relevant to atypical clinical situations. Tellicare turns real-time disease pathway statistics into a single, calm recommendation, at the moment the decision is made.
Live model · Centre Hospitalier de Troyes · Updated regularly
Care is decided on a small
sliver of what's known.
Every hour, clinicians make decisions that quietly exclude 90% of the relevant evidence, not by choice, but because the data is in registries, ICU dashboards, lab feeds and electronic health records that don't talk to each other. Tellicare collapses that gap into a single answer.
- Real-time pathway statistics, not retrospective dashboards.
- Calibrated to the institution's own population.
- One calm recommendation, never a wall of charts.
From scattered data
to a single decision.
Tellicare is an API-first platform. Every module, starting with EPCpass, is a model served behind a stable, audited endpoint, and a clinical UI tuned for the moment of decision.
We connect to admission systems, lab feeds and the EHR, and learn the institution's pathway baselines.
Models are re-trained on local data so the prior probability matches your patient mix, not someone else's.
At the bedside, fill three groups of fields and get one calibrated probability with a clear recommendation.
Every recommendation is logged and signed, ready for clinical governance, IRB and post-market follow-up.
EPCpass: pre-test for EPC carriage at admission.
Carbapenemase-producing Enterobacterales (EPC) screening is currently triggered by ad-hoc rules. EPCpass replaces that with a calibrated probability on the patient in front of you, saving lab cost on low-risk admissions and catching high-risk ones earlier.
- Logistic model trained on first & second hospital stays.
- Returns probability + threshold-based recommendation.
- Designed for < 60 seconds at the admissions desk.
POST /api/predict
{
"birthdate": "1960-03-25",
"admission_date": "2025-11-25",
"provenance": "Home",
"type_of_stay": "Other",
"n_continuous": 2,
"binary_var_1": false,
"binary_var_2": false,
"binary_var_3": true,
"binary_var_4": false
}
→ {
"probability": 0.314,
"threshold": 0.50,
"recommendation": "pass"
}Built to be the go-to
evidence layer for hospitals.
EPCpass is the first of a series of focused modules. Each is a calibrated answer to a decision a clinician already makes 50 times a week. Not a chatbot, not a dashboard.
Try the live beta.
The EPCpass screening tool runs against the trained logistic model. Use the demo patient, or enter a synthetic case to see the pathway.
Or write to jan.chrusciel.md@gmail.com.