on every patient, every hour.
Across the hospital, results, images, and notes arrive faster than any team can read them — and the signal that matters hides in the volume. CareCompile reads every message the moment it lands, reasons over it the way a specialist would, and surfaces what needs attention to the right clinician, history already assembled. The patient who needs attention is seen sooner — day or night.
reads every HL7 messageproprietary, open-source & custom models
on-premises or cloudno rip-and-replace
- Every alert documented & auditable
- Sub-second flags on inbound results
- Works with your EHR, not instead of it
- HIPAA compliant
One engine.
A specialist stack for every department.
Not a point solution. The same intelligence engine powers six specialist stacks — expert coverage for every corner of your hospital, and de-identified force-health intelligence in the field. Deploy one. Add the rest when you're ready.
The command center
Reads the full chart — labs, imaging, notes, FHIR — and briefs your hospitalist the way a subspecialist would. Every major specialty, analyzed in parallel, in seconds.
The continuous watch
Two loops, day or night: specialist reasoning the moment new data lands, and a sweep across every admitted patient for what hasn't happened — flagging deterioration early and staging workups for physician sign-off.
The lab's second reader
A safety net for thinly staffed benches and overnight cross-coverage — cross-checks results and radiology–pathology concordance before an error reaches the chart.
Imaging follow-through
Tracks RADS categories and incidental findings so "recommend follow-up in 6 months" never falls through. Structured reporting standards, enforced by software.
Infection surveillance
Facility-wide surveillance of cultures, resistance patterns, and reportable conditions — antibiograms, cluster detection, and public-health reporting readiness.
Force-health & the field
Turned outward for defense. The same engine runs fully offline on local hardware and produces de-identified force-health intelligence — outbreak and exposure briefs, readiness, and functional-biometric (range-of-motion & impairment) screening — for maritime, military, and forward operations where no specialist will ever answer the phone.
foundation
Every stack runs on the same proprietary clinical knowledge architecture — and the engine is model-agnostic by design. It works with proprietary AI models, open-source models, and custom technology, in the cloud or fully on-premises. The same patient signals power clinical decision support in the hospital and de-identified force-health intelligence in the field — bridged so the intelligence layer never carries PHI. Your patient data never trains anyone's model.
The platform.
Not a mock-up.
Real software. Real HL7, FHIR, and clinical reasoning. Every screen here is a shipping view from the CareCompile platform.
Compile a document
Speak a command or pick a template — shift handoff, AM report, sepsis screen — and the engine drafts it from the live chart.
Active flags, ranked
Critical labs surface to the top with trend sparklines, so the patient who needs attention is never buried.
Watching, around the clock
The continuous-watch agent resolves and escalates while your team is stretched thin — every action written to the audit trail.
From HL7 message to clinical save.
No rip-and-replace. CareCompile reads the stream your hospital already produces, reasons over it, and puts the result in front of the on-call clinician — evidence attached.
Ingest
HL7 v2.x and FHIR R4 stream in from your EHR, lab, and imaging — the moment data is created.
Normalize
Canonical coding, plausibility bounds, duplicate collapse, and reference-range checks — before any model sees a value.
Reason
Specialist agents run in parallel across every relevant department, grounded in the proprietary clinical knowledge architecture.
Verify
Findings are checked against the fused FHIR record; every step is written to a tamper-evident audit trail.
Deliver
A ranked, cited narrative reaches the on-call clinician and the chart — in seconds, with the evidence attached.
// Sub-second for standard labs and vitals; a few seconds for complex multi-system reasoning. Results stream in real time.
Fifteen seconds, end to end.
One synthetic patient from tonight's feed — one critical lactate, and everything the engine did about it. No human clicked anything.
ORU^R01 arrives for Maria Okafor, one of thousands of messages tonight. The engine reads it in milliseconds: lactate 8.2 mmol/L — critical.
Cardiology, nephrology, and pharmacy agents each read the full chart independently — labs, imaging, notes, FHIR history. No nurse has been paged yet; there is nothing actionable to hand them.
Troponin 0.84 and trending up. Creatinine 3.2 — AKI stage 2 confirmed. Eight drug interactions, including a vancomycin–nephrotoxin overlap that would have made things worse.
BP 82/54, HR 128, SOFA 10. The pieces were all in the chart — the engine put them together while the floor was busy with everyone else.
A ranked clinical narrative with 13 claims checked against every FHIR source, history already assembled, evidence attached. The clinician walks in knowing exactly why.
Proven against the hardest test we could build.
Before CareCompile ever sees a real patient, it has already worked a career's worth of cases — synthetically.
Every stack is exercised end-to-end by MediFlow v14, our clinical simulation engine — admissions, deteriorations, critical labs, pathology — at volumes no pilot could produce. Every proof number on this page comes from that engine. No real PHI, ever.
Every capability is built and validated against synthetic patients with known answers, generated by MediFlow v14. A held-out evaluation harness scores each release against ground truth the engine never saw while it was being tuned. No real PHI has ever touched development, training, or validation — and physician validation is expanding.
Every alert, every agent finding, every staged order is written to a tamper-evident audit trail with 7-year retention. When someone asks "why did the system say that?" — there is always an answer.
The cost is in the miss — not the software.
Failure to rescue — a deterioration knowable from data already in the chart — is one of the most expensive events in hospital medicine: extended ICU stays, transfers, litigation exposure, reputational harm. CareCompile doesn't replace your clinicians or your specialist coverage. It makes sure the patient who needs them is seen hours earlier, with the evidence already assembled.
- No BAA to see it work — built and validated entirely on synthetic patients
- No cloud-security veto — runs on-premises or fully air-gapped
- A silent pilot risks nothing — 30 days alongside your live stream, no pages, no workflow change
- One miss pays for the year — the software was never the expensive part
Most clinical AI can't start until month six. Why we start in week one →
Trained to your workflow. Deployed where you run.
Your models, our clinical reasoning — running in your cloud, on-premises, or fully air-gapped. Plus NORA, the on-call agent engineered to know when to stay quiet.
The same engine, at the scale of a state.
Rural health programs rarely fail on ambition. They fail when thirty organizations send the same lab result thirty different ways, and nobody can compute a measure anyone believes.
One vocabulary underneath many organizations.
Hospitals, clinics, pharmacies and EMS agencies each speak their own dialect. We build the layer that resolves them to one patient record and one set of codes — so a care team sees a timeline instead of a pile of documents, and the program reports outcomes from coded data rather than free text.
We work as the technical layer behind a program, not as its front door. The community, workforce and governance work belongs to the people who already do it well.
- Semantic data model — canonical concepts, alias governance, and a human review queue for every code that does not map cleanly
- Terminology services — codes validated against the full LOINC release by existence and active status, never by heuristic, and exposed for translation across source systems
- FHIR exchange — HAPI-backed R4 endpoints, deployable to a state cloud environment or to infrastructure a program already runs
- Architecture and mapping documentation — the system architecture, data dictionary and mapping guide a program office can hand to an auditor
- Impact reporting — measures computed from normalized, coded results, which is the only kind that survives review
What is running today, in detail →
Building a rural health data program? Talk to us →
Two partners, no layers between you and the build.
The person who takes your first call is the person who writes the integration or sits with your medical staff. No pre-sales engineer, no delivery team introduced at kickoff.
Mario Casamalhuapa
Twenty years building healthcare software, and the author of CareCompile end to end: the clinical reasoning engine, the semantic data platform, the HL7 v2 and FHIR R4 pipelines, the exchange broker, the on-premises and air-gapped deployments, and MediFlow, the synthetic-data engine that exercises all of it before a hospital ever does. He works on the forward-deployed engineering model Palantir made its name on — the engineer who writes the code sits with the customer, rather than behind an account manager.
- Twenty years in healthcare development — HL7, FHIR, EMR integration and the clinical data underneath
- Owns every line of the platform: engine, data model, integration and infrastructure
- 383,627 HL7 messages and 72,718 harmonized results through the pipeline he wrote
- On an engagement, the one writing the integration code and answering your IT team
Reach hello@carecompile.com
Bill Sackewitz
Two decades leading enterprise transformation and AI adoption in regulated healthcare, at the scale where governance is not optional and adoption has to be earned. At CareCompile he carries everything that is not the code: how a pilot is scoped and priced, how it is validated, how a health system or a state gets to yes, and the governance record that has to hold up when someone asks who is accountable for a clinical recommendation.
- Twenty years in enterprise transformation and AI governance under regulation — HIPAA, FedRAMP, FISMA, Zero Trust
- Owns everything that is not the code: pilot design, validation, pricing and the commercial relationship
- Carries the governance record — the advisory-only CDS boundary, clinical bias review and SaMD classification work
- On an engagement, the one in the room with your clinical and executive leadership
Based in Utah — local to rural hospitals, UHIN and DHHS · Reach hello@carecompile.com
Utah Rural Health Transformation Program, LINCS 7.3 and 7.4 Semantic Data Model, with HK Consulting. Award decision pending.
Be the hospital where nothing falls through the cracks.
The Pilot Partner Program is open to hospitals and health systems of every size — community, rural, academic, and specialty — ready to put an expert watch on every patient, around the clock.
Request received.
Thank you — we'll be in touch within one business day. For anything urgent, email hello@carecompile.com.
Clinical Decision Support Notice — CareCompile is a non-diagnostic clinical decision support tool intended to augment, not replace, physician judgment. All AI-generated analyses are advisory only; clinical decisions remain the sole responsibility of the licensed treating clinician. CareCompile is not FDA-cleared or FDA-approved as a medical device and is not intended to diagnose, treat, cure, or prevent any disease. For investigational and decision-support use only. Validation with practicing physicians is ongoing.