NursSide AI gives school nurses an intelligent layer of support during student visits — helping capture symptoms, organize relevant information and provide clear, explainable guidance while the nurse remains firmly in control.
Review hydration and other symptoms. Reassess before return to class and escalate according to school protocol if needed.
“These are the findings I'm using, and this is why I'm suggesting this action.”
A child arrives with dizziness. Another with vomiting. Someone else fell during PE. The nurse must quickly decide: monitor, return to class, call a parent, escalate care, or activate a protocol.
NursSide AI is designed to be there in that moment — helping organize what the student is reporting, surface relevant findings and provide a structured recommendation for the nurse to consider.
Headaches, injuries, fever, vomiting, dizziness, rashes and countless other complaints may arrive in the health office on the same day.
NursSide AI listens for clinically relevant symptoms while the nurse continues speaking naturally with the student.
The nurse confirms which findings are relevant before those findings influence the recommendation.
The platform is designed to make the difficult parts of assessment easier to manage while preserving the professional judgment and responsibility of the nurse.
Relevant symptom phrases can appear as the student speaks, helping organize the assessment without interrupting the interaction.
NursSide AI does not simply assume that everything it heard is correct. The nurse accepts, dismisses or manually adds the information that matters.
Confirmed findings are evaluated against structured clinical logic to produce an explainable recommendation and suggested action.
Look up the student's profile and relevant health history when available, or begin a visit without selecting a student.
Student history optionalThe nurse continues the assessment as usual while the system captures speech and looks for relevant health terms and phrases.
No rigid questionnaire requiredFindings such as fever, vomiting, headache, dizziness, rash or injury-related terms can surface immediately for nurse review.
Confirm · dismiss · add manuallyThe platform evaluates nurse-confirmed information against structured recommendation logic and presents the concern level, reasoning and suggested response.
Shows what the recommendation is based onThe nurse reviews the guidance and decides what happens next. The findings, recommendation and actual nurse decision can then be recorded.
Nurse retains final controlNursSide AI uses a deliberately transparent workflow. The nurse sees what the system detected, confirms what is clinically relevant and sees why a recommendation was presented.
The system does not hide the information it is using.
Incorrect or irrelevant speech recognition can be rejected.
Clinical rules and terminology can be maintained as configurable resources.
NursSide AI is designed as decision support, not autonomous diagnosis.
NursSide AI connects the live assessment with student history, structured guidance and visit documentation so the nurse can work within one coherent workflow.
Speech recognition and symptom matching help convert naturally reported concerns into structured findings without forcing the nurse into a rigid data-entry process.
Retrieve student information, chronic conditions, allergies and previous visit summaries when available.
Store confirmed findings, recommendation and the action ultimately taken by the nurse.
The proposed architecture is designed to minimize unnecessary exposure of sensitive student health information.
Speech recognition can be self-hosted so live health conversations do not need to be sent to a third-party cloud speech service.
The architecture can prioritize storing confirmed findings and recommendations rather than complete conversational transcripts.
Student-record access and visit activity can be linked to authenticated users and recorded for appropriate audit review.
The core decision-support workflow is designed around structured rules and nurse-confirmed findings rather than unrestricted generative AI making independent clinical decisions.
Explore how NursSide AI can add an intelligent layer of support to school health assessments while keeping clinical judgment exactly where it belongs: with the nurse.
Tell us about your district, your health office, and what you need — we'll get back to you.