AIVA EVIDENCE™
The future of intelligent healthcare is here. AIVA Evidence is a neural network that connects every conversation, decision, diagnosis and workflow with evidence-based guidelines, bringing people, processes and clinical data into one unified system.
For most adults with type 2 diabetes, guidelines recommend an HbA1c target below 7% 1. A less strict goal, such as below 8%, fits patients with frequent low blood sugar or limited life expectancy 12.
Her last HbA1c was 6.8% in August, within the general target.
How it works: a neural network that learns and adapts.
Every interaction is connected. AIVA Evidence turns isolated data points into connected intelligence, so your clinic doesn't just automate, it evolves.
Understands context
Recognizes patterns in patient interactions and provider workflows.
Connects systems
Brings together data from EHRs, patient interactions and documentation into one ecosystem.
Always current
Answers draw on the latest guidelines and your patient's chart, with the information you need at your fingertips.
From data to evidence.
Today's clinics have more patient data than ever, but critical information can stay buried across notes, labs, imaging, pathology and reports. AIVA Evidence connects the patient record with current clinical guidelines to surface relevant evidence, identify potential gaps and help providers understand what may need attention next.
Designed for the real world.
Providers don't need more data. They need the right information at the right time. AIVA Evidence shows what may need attention, why it matters and the evidence behind it, without adding work to the day.
- Cited sources on every answer
- Inside Ask AIVA and AIVA Ambient
- The provider makes every decision
See AIVA Evidence on a real chart.
Book a demo and ask it a clinical question about a sample patient.