Aelix Vitals, clinical decision support
Catch deterioration
6 hours sooner.
Aelix Vitals reads your EHR (Epic, Cerner/Oracle Health, MEDITECH, athenahealth) in real time and flags sepsis, AKI, and readmission risk before the next round, with the reasoning a clinician can audit in one glance.
Agentic AI · Aelix Vitals agents · Design-partner preview
Decision support that observes, retrieves, summarizes, and drafts. A clinician makes every call.
Clinical decisions stay clinician-owned. Aelix Vitals agents observe, retrieve, summarize, draft, and propose. They do not diagnose, prescribe, or take clinically consequential action without an explicit clinician sign-off. Every AI output carries the locked model version, the contributing factors or evidence citations, and the intended-use label (decision support or Computer-Aided Triage).
Deterioration Watch Agent.
Continuously monitors at-risk inpatients and remote-monitoring patients. When the risk picture shifts, assembles an evidence-cited brief plus suggested care-plan options for the clinician. Auto-watches and auto-drafts. Cannot page rapid response, place an order, or change a care plan. Every escalation routes through the existing sign-off gate.
Imaging Triage Pre-Read Agent.
Pre-reads incoming studies on the radiology worklist, drafts a structured findings ledger with confidence and localization, and re-orders the worklist by urgency. Strictly Computer-Aided Triage (CADt) under the cleared intended use. The radiologist still performs the full diagnostic interpretation on every study. The agent can never clear a study.
Ambient Documentation Agent.
Drafts the structured clinical note and after-action summary from a clinician's review session and the activity timeline. Assistive only. The draft is watermarked 'AI draft, unsigned'. No note enters the record without a clinician signature. The agent is forbidden from asserting clinical facts not present in the underlying record.
Care-Gap Closure Agent.
Sweeps a care manager's remote-monitoring cohort, identifies open care gaps and readmission-risk signals, and drafts a prioritized outreach worklist. Patient outreach is drafted, never sent autonomously. Wellness-grade wearable signals surface as trends only, never as a diagnostic input.
Trust architecture
Clinician-owned clinical decisions.
Agents observe, retrieve, summarize, and draft. They never diagnose, prescribe, or take a clinically consequential action without explicit clinician sign-off through the same gate the platform already enforces for human action.
Citation-gated output.
Every clinical claim in every brief, finding ledger, draft note, or care-gap recommendation must cite a specific record, retrieved guideline, or structured data field. Uncited claims are stripped before display.
Locked model version, labeled intended use.
Every output carries the model version, the contributing factors or evidence citations, and the intended-use label (decision support or CADt). The label sits in the regulatory and quality-management record. Drift requires a documented change.
PHI inside the perimeter.
Inference runs inside a signed BAA boundary for hosted pilots, or on-premises for data-residency-locked deployments. PHI never crosses the boundary without contracted authorization. Tenant isolation is enforced at the data layer, not at the agent.
What ships first
Phase 1 ships the Ambient Documentation Agent and the shared evidence-retrieval service. Assistive only. Lowest clinical and regulatory risk. The Deterioration Watch Agent follows once the runtime, citation-grounding, and agent-audit patterns are mature. The Imaging Triage agent ships last and only within the cleared Computer-Aided Triage predicate. The platform never claims diagnostic or treatment authority for any agent.
The reality on the floor
Physicians need insights, not just more data points.
High readmissions
Reactive care models miss the subtle early warning signs of patient deterioration.
Diagnostic fatigue
Radiologists and specialists are overwhelmed by the sheer volume of medical imaging.
Fragmented journeys
Chronic care patients slip through the cracks once they leave the hospital.
What you get
Predictive analytics for readmissions
Aelix Vitals analyzes real-time EHR data (FHIR R4, HL7 v2) to flag high-risk patients 6 hours before they deteriorate, allowing for proactive intervention.
AI-assisted medical imaging
Improve accuracy and speed without sacrificing ethics. Our imaging algorithms act as a second pair of eyes, prioritizing urgent scans and reducing diagnostic fatigue.
IoT and chronic care management
Extend care beyond the hospital walls. Vitals integrates with wearables to reshape chronic care, driving patient retention and continuous monitoring.
Our philosophy
AI is the new stethoscope, not the new doctor.
We believe in "Tech with Empathy." Aelix Vitals is designed to keep the clinician in the driver's seat. Our algorithms provide explainable, transparent recommendations that align seamlessly with your existing clinical workflows.
UX case study
Reimagining the patient-provider portal.
See how an intuitive, AI-driven digital experience improves patient engagement and adherence from diagnosis to discharge.
Book your clinical walkthrough
Elevate your standard of care.
Discover how Aelix Vitals brings your clinical data together to save lives and reduce physician burnout.
Need this tailored to your environment?
Every Aelix product can be configured, extended, or built bespoke for your industry, data sources, and compliance constraints. Talk to our engineers about what would change.
Configurable workflows
Adapt rules, thresholds, and approval flows to match your operational policies.
Custom data integrations
Connect to your specific ERP, MES, SCADA, CRM, or proprietary systems.
Bespoke modules
Build product extensions tailored to your industry, region, or compliance needs.