RPM Triage learns each patient's own normal, catches real deterioration earlier, and explains every decision in plain language — so your nurses trust it, not just tolerate it.
Built on adaptive per-patient baselines, transparent audit rationale, and human-reviewed calibration — never a black box.
Within this patient's own rolling baseline. No action needed — logged for trend review.
This isn't a hypothetical — alarm fatigue is one of the most documented, industry-wide patient-safety failure modes in monitored care, well before RPM Triage existed.
Industry-wide alarm-burden and sentinel-event figures per The Joint Commission's clinical alarm safety alert — not claims about RPM Triage specifically. The fixed-threshold description reflects standard static-threshold monitoring design generally.
Every reading is scored against that specific patient's own rolling baseline, dampened when context explains it, checked against a hard clinical safety floor nothing downstream can soften, then time-tracked so a transient spike never gets treated like sustained decompensation.
An adaptive mean + variance per vital, learned from that patient's own history — not a population norm.
Dampens — never deletes — deviations explained by exercise, circadian rhythm, or degraded device signal.
Absolute crisis thresholds, checked first, every time — nothing downstream can bypass or soften them.
A transient spike stays a spike. Sustained elevation escalates. Everything else rolls into a daily/weekly digest.
Two patients, the identical heart-rate reading — one explained, one not.
Elevated heart rate fully explained by recent activity — dampened to residual weight, filed for trend review, never escalated.
Same deviation, no contextual explanation, held for 5+ continuous minutes at rest — escalated for immediate nurse review.
Every patient gets their own portal — installable straight from their browser, no app store required — to report how they're feeling and message their care team directly.
Every reading run through the same pipeline a real device would use — replayed against a real, public clinical dataset, not hand-written examples.
Measured against real ICU waveform data (PhysioNet's BIDMC dataset), comparing our RED_URGENT (immediate-page) alert volume against a fixed-threshold baseline — re-runnable against your own data. Some of that reduction is alerts eliminated entirely; some is alerts correctly downgraded to a non-urgent nurse-review queue rather than paging immediately.
These numbers come from bench validation against a real, public physiologic dataset (PhysioNet's BIDMC ICU waveform data) — not a live clinical deployment. We haven't yet run this against a real RPM/CCM patient population in production, and we won't tell you otherwise.
What we're looking for is a pilot partner to change that — bring your own patient data (or use ours), and you'll see the same rationale behind every single decision, on your own caseload.
You run the multi-tenant program across many physician-practice clients. You need triage logic that scales per patient without a config file per condition, plus a device-key API your ingestion pipeline can integrate against directly.
Talk to engineeringYour nurses are the ones staring at the queue every morning. You need fewer, more trustworthy alerts, a plain-language rationale for every one, and an audit trail that holds up when a provider asks "why did it flag this?"
Talk to clinical opsBring your own patient data, or use ours — either way, you'll see the rationale behind every single decision.