Better information.
Clearer decisions.
Faster care.
Clinical clarity for school health
Real-time clinical decision support designed for school nurses. CLIRA helps capture symptoms naturally, confirm what matters, and turn everyday student conversations into clear, explainable guidance.
From conversation to guidance in five clear steps.
CLIRA works alongside the nurse during the visit, turning naturally reported symptoms into structured, reviewable information without interrupting the interaction.
Listen
The nurse begins the assessment naturally while the system captures the live conversation.
Detect
Relevant symptoms and clinical phrases are identified as they appear in conversation.
Confirm
The nurse accepts, dismisses or manually adds findings before they influence the system.
Recommend
Confirmed findings are evaluated against structured clinical decision rules.
Document
The visit, confirmed symptoms, recommendation and nurse decision can be recorded.
Support the nurse without slowing the nurse down.
Designed for busy health offices where speed, consistency, documentation and clinical judgment all matter.
Faster assessment workflow
Surface clinically relevant information while the nurse continues speaking with the student instead of repeatedly stopping to enter data.
Reduced cognitive load
Organize symptoms as they emerge and help the nurse see clinically relevant combinations more clearly.
More consistent guidance
Structured clinical rules create a repeatable decision-support framework that can be reviewed and governed.
Nurse verification first
Speech recognition alone never determines the outcome. Findings must be confirmed by the nurse before recommendation.
Structured documentation
Confirmed findings, recommendation and the action actually taken can be captured for future review.
Adaptable clinical logic
Keyword dictionaries and recommendation rules can be maintained as configurable clinical resources rather than opaque model behavior.
Decision support, not autonomous diagnosis.
The technology helps organize and interpret information. The nurse validates the findings, reviews the recommendation, and decides what happens next.
Misheard or irrelevant findings can be dismissed immediately.
The nurse can see which confirmed findings led to the guidance.
Clinical judgment remains with the qualified professional.
Possible illness with dehydration risk
Monitor symptoms, consider hydration and reassessment, and follow the organization's escalation protocol where appropriate.
One workflow. Many school-health scenarios.
Fever + vomiting
Organize multiple findings and surface an appropriate level of concern for nurse review.
Headache + dizziness
Capture reported symptoms and support structured reassessment and escalation decisions.
Rash + fever
Recognize potentially important combinations of symptoms and bring them clearly to the nurse's attention.
Possible head injury
Identify reported concussion-related phrases and support established school protocols.
Health information deserves thoughtful architecture.
The platform is designed around a privacy-conscious approach to voice processing, data storage and access.
Self-hosted speech processing
The proposed architecture allows speech recognition to run on controlled infrastructure rather than requiring a third-party cloud speech service.
Minimized data retention
Organizations can prioritize storing confirmed findings and outcomes instead of retaining complete raw conversations.
Authentication and auditability
Access to student information can be tied to authenticated users and appropriate audit records.
Sophisticated enough to help. Simple enough to understand.
The system uses a deliberately transparent pipeline rather than relying on unrestricted generative AI for core clinical decisions.
A structured clinical assistant that shows its work.
Give school nurses more support at the moment decisions are made.
Explore how CLIRA brings real-time symptom capture, nurse-confirmed findings and explainable clinical guidance into the school health workflow.