Natural Language Search
Ask clinical questions exactly as you would ask a colleague and receive instant, evidence-backed answers.
NurseIQ
intelligence, without the record digging.
Healthcare AI has zero margin for error. We built NurseIQ anyway, and made accuracy, speed and compliance work together instead of against each other.
Web
Client's location
Europe
BrainerHub team
1 PM
2 Designers
4 Engineers
1 QA
1 DevOps
2 Designers
4 Engineers
1 QA
1 DevOps
Timeline
5 months
Challenges
Nurses and care operators managing a growing patient population needed instant, plain-language access to patient records during live home visits, without breaking their workflow or slowing down care. The reality on the ground looked very different. Critical patient data sat scattered across fragmented systems in three different formats. When a nurse needed an answer during a time-sensitive moment, such as tracking flu-like symptoms across a caseload, digging through disconnected records cost precious minutes that should have gone to the patient.
Nurse Mobile Application
Nurse Mobile Application
AI Patient Assistant
Healthcare professionals simply ask questions in plain language and receive accurate, evidence-based answers directly from patient records.
Daily Care Tasks
Automatically surface today's scheduled visits, medication reviews, wound care activities, and clinical priorities for every patient.
Caseload Intelligence
Identify trends across an entire patient caseload, including fever monitoring, missed medications, and high-risk patients through conversational AI.
Patient Profile
View medications, visit history, vital signs, clinical notes, and AI-assisted summaries from one unified screen.
Core Platform Features
We focused on faculty productivity and student clarity across semester-long courses.
Natural Language Search
Ask clinical questions exactly as you would ask a colleague and receive instant, evidence-backed answers.
Multi-Format Record Processing
Automatically imports and structures patient information from XML, JSON, PDF, and scanned medical documents.
Retrieval-Augmented AI
Every AI response is grounded in real patient records rather than generated assumptions, ensuring clinical reliability.
Role-Based Security
Information is filtered before AI processing so users only access data permitted by their role.
Complete Audit Trail
Every login, search, patient record access, and system activity is securely logged for compliance and governance.
Multi-Format Record Processing
Automatically imports and structures patient information from XML, JSON, PDF, and scanned medical documents.
Retrieval-Augmented AI
Every AI response is grounded in real patient records rather than generated assumptions, ensuring clinical reliability.
Role-Based Security
Information is filtered before AI processing so users only access data permitted by their role.
Complete Audit Trail
Every login, search, patient record access, and system activity is securely logged for compliance and governance.
AI & Clinical Intelligence Engine
AI & Clinical Intelligence Engine
Intelligent Data Processing
Normalizes patient information from multiple healthcare systems into one structured knowledge base.
Retrieval-Augmented Generation (RAG)
Retrieves only relevant and permission-approved patient records before generating responses.
LLM Clinical Reasoning
Uses secure large language models with healthcare-specific guardrails to provide context-aware answers.
Real-Time Response Streaming
Answers appear instantly while maintaining strict security, accuracy, and audit requirements.
Technology stack
Cross-platform learning experiences on React and React Native with Laravel services on AWS.
Proud to be a trusted partner
Education platforms must feel dependable on day one of term.
Patient care moves quickly, and nurses shouldn’t have to spend valuable time searching through different systems to find basic information. BrainerHub helped us turn that challenge into a practical AI solution that makes patient data much easier to access and understand. What impressed us most was the team’s attention to accuracy and the realities of clinical workflows. They understood that in healthcare, the technology has to support the caregiver not get in the way.
Emily Richardson
Chief Nursing Officer (CNO), NurseIQ
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