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Hospital & clinic operations
Administration, scheduling, billing, and inventory workflows that reduce the paperwork burden on care teams.
Industries — Healthcare
From hospital administration platforms to clinical document intelligence, we build healthcare systems where privacy, auditability, and uptime are non-negotiable — for hospitals, clinics, and health-tech companies.
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Administration, scheduling, billing, and inventory workflows that reduce the paperwork burden on care teams.
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Portals, appointment booking, and follow-up journeys that patients actually complete.
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Access control, audit trails, data residency, and consent management designed in from the first commit.
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Product engineering for startups and established health companies — from MVP to certified production.
Production AI use cases we build for this industry — governed, secure, and measured against outcomes.
AI use case
Extraction and summarization across discharge summaries, lab reports, and referral letters — with human review built in.
AI use case
Document AI that cuts claims processing from days to minutes while keeping every decision auditable.
AI use case
Governed chat assistants for appointment booking, triage guidance, and follow-up reminders.
AI use case
Forecasting for bed occupancy, staffing, and inventory built on your operational data.
Least-privilege access, encryption in transit and at rest, audit logging, and data-residency options; for AI features, PHI can stay inside your perimeter via private LLM deployments.
Yes, with the right guardrails: we scope AI to assistive roles with human review gates, evaluation suites, and full decision audit trails — never unsupervised clinical judgement.
Yes — HL7/FHIR interfaces, lab systems, and payment gateways are standard integration work in our healthcare engagements.
Both — hospitals and clinics for operational systems, and health-tech companies for product engineering.
Use cases
Encounter notes summarized, coded, and filed automatically — clinician sign-off built in, hours returned to care.
Faxes, PDFs, and portal submissions extracted into structured referrals with routing to the right specialty queue.
Appointment, reminder, and follow-up journeys across SMS, app, and portal — no-show rates measurably reduced.
Denial-risk prediction and documentation gap detection before submission, improving first-pass acceptance.
Admission and discharge models that give operations a 72-hour view of demand by unit.
New digital tools connected to EMR reality — interfaces, transforms, and monitoring run as a managed service.
In depth
Healthcare software has a triple bar to clear: it must be clinically safe, privacy-compliant, and light enough that busy clinicians actually use it. We build for all three — patient portals, care-coordination platforms, clinical documentation tools, and the integrations (HL7, FHIR) that make them citizens of the hospital IT estate.
AI is changing what is possible in the ward and the back office alike: document intelligence that summarizes referrals and codes encounters, predictive models for no-show risk and bed demand, and LLM assistants that draft — never decide — with clinician sign-off built into the workflow. Every AI feature ships with evaluation evidence and audit trails that stand up to clinical governance review.
Data protection is designed in: role-based access mapped to care relationships, de-identification for analytics, and deployment options that keep PHI inside your jurisdiction. From hospitals to health-tech startups, we bring the same rule: patient trust is the uptime metric that matters most.
HL7 and FHIR interfaces that make new tools cooperate with EMR reality.
Assistive AI with sign-off workflows, evaluation evidence, and full audit trails.
PHI protection through access design and jurisdiction-aware deployment.