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PostOpGuard runs voice-first daily check-ins with your post-op patients, extracts clinical signals, and routes every decision through deterministic, version-controlled clinical protocols — so your care team sees only the patients who need them today.
Between hospital discharge and the first follow-up appointment, your patients are alone with paper instructions, post-op pain, and a list of red-flag symptoms they may not recognize. By the time something is wrong, they're back in your ED.
Every morning, PostOpGuard calls every patient on your service. The conversation is voice-first, paced for a 67-year-old recovering from anesthesia, and ends with an empathetic, specific next step.
Patients answer at their own pace — disfluencies, pauses, "uhms" and all. The system tolerates slow speech and prompts gently when needed.
An LLM maps the transcript into structured variables — pain scale, calf tenderness, medication adherence — with confidence scores. It never decides anything.
Your team's protocols — authored as reviewed, version-controlled code, deterministic and signed — evaluate the inputs and trigger the next step: nothing, a follow-up, or paging the on-call team within 30 minutes.
The patient hears a voice. The nurse sees a queue. The clinical team authors the protocol. Every event in every surface is signed, timestamped, and traceable back to the protocol that fired it.
One ring, one prompt, one tap. A pulsing orb shows the system is listening; the response is spoken, empathetic, and ends with a specific next step.
One care manager covers 50+ post-op patients. The triage dashboard surfaces only the patients trending red, with the audio, transcript, and protocol decision that drove the alert.
Your clinical team authors protocols as reviewed, version-controlled code. Simulate against synthetic and historical cases before release — every change is reviewed, signed, and shipped as a versioned release.
No black-box AI is allowed to triage a patient. Every alert names the protocol that fired, breaks the decision down to the exact rules that triggered it, and signs it with a doctor's name. If a nurse asks "why", the answer is on the screen.
-- Authored & reviewed by Dr. M. Smith · sandboxed Lua (luerl) local reasons = {} if is_true(input.calf_warmth) and is_true(input.calf_tenderness) then table.insert(reasons, "Calf warmth + tenderness") end if input.anticoag_taken_today_am == false then table.insert(reasons, "Missed anticoagulant dose") end if #reasons >= 2 then return flag("emergency_alert", reasons, "dvt_emergency") end return flag("routine_log", {}, "dvt_routine")
Numbers from a 90-day pilot at St Mary's Orthopedic Service. We expect to publish a full peer-reviewed report in Q1 2027.
End-to-end encryption, deployable to your AWS or Azure tenancy, with BAAs from every subprocessor. Audit logs are immutable and exportable to your existing SIEM.
We'll work with your clinical leads to author the first two protocols, configure the daily call window, and run a 30-day pilot on a single procedure. Most teams see their first red-flag catch within the first week.