Clinicians spend hours per day on documentation, not patients. AI copilots take over the typing. The clinician dictates, edits, and approves instead of starting from blank.
Records sit across EHR, lab systems, PACS, and pharmacy. Unified, searchable access is what AI enables, without ripping out the systems already certified.
Patient data is highly regulated. AI deployments need on-prem options, full audit logs, and clear data-handling contracts. We build for these from day one.
Hospital IT moves carefully. Rightly so. We work in phased pilots with explicit security and clinical-safety review at each step. No big-bang deployments.
Ambient AI for clinical notes: capture, structure, suggest. Clinician reviews and signs. Hours saved per shift on documentation.
Symptom triage, appointment booking, and pre-visit forms via WhatsApp and web. Bilingual Arabic + English. Escalation to human triage for anything clinical.
Billing, claims, prior authorizations, and the supply-chain documents that eat admin hours. Automated with audit trail.
AI features inside (or alongside) Cerner, Epic, and other EHR systems. Via documented APIs and proper change-control.
Open-weight models running entirely inside hospital infrastructure. No patient data leaves the perimeter. Full audit logging.
Yes. We deploy open-weight models inside hospital infrastructure with no outbound calls and full audit logging. Standard pattern for any deployment involving patient data.
No. Clinical copilots are advisory. They capture, structure, and suggest. Every clinical interaction has a human reviewer who approves before anything is committed to the patient record.
Through documented HL7 / FHIR interfaces, plus the EHR vendor's published APIs where available. We work alongside your existing IT and clinical-systems team, not around them.