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CASE STUDY

Mediktor

AI-based symptom assessment and clinical decision support system that guides patients to appropriate care pathways.

Industry Healthcare / Digital Health

Solution AI Symptom Assessment & Triage Platform

Engagement 6 Months

Services AI & Full Stack Development

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Client Context

Mediktor is a Spain-based AI-driven symptom assessment and clinical decision support platform that interprets patient-reported symptom inputs and suggests appropriate care pathways. Its technology uses artificial intelligence and natural language processing to assess symptoms, triage urgency, and support clinical decisions, guiding users and healthcare providers to the right level of care.

Mediktor’s AI platform has partnerships with health systems and insurers globally, enabling clients to standardize symptom evaluation, increase efficiency of digital front door processes, and reduce unnecessary consultations by directing patients to the most suitable services upfront.

AI Symptom Triage

Clinical Decision Support

Multilingual, Global Reach

The Challenge

Mediktor required an AI-driven architecture capable of interpreting unstructured patient-reported symptoms, ranking potential conditions probabilistically, integrating triage logic with partner systems, and delivering rapid, reliable guidance across multiple languages and healthcare environments while maintaining clinical safety and compliance.

Accurate symptom interpretation across languages

Probabilistic condition ranking

Real-time inference and triage

Integration with healthcare partners

Our Solution

We designed and built an AI triage and symptom assessment platform with natural language processing pipelines, probabilistic diagnostic models, real-time inference APIs, and integration layers for healthcare partners to enable reliable, scalable symptom evaluation and triage guidance.

Symptom NLP Pipelines

Interpreted patient-reported symptoms into structured clinical features.

Probabilistic Diagnostic Models

Ranked likely conditions and care pathways based on model outputs.

Real-Time Inference APIs

Provided low-latency assessment results for users and partners.

Partner Integration

Connected AI workflows with healthcare systems and clinical front doors.

How We Delivered

Discovery & Alignment

Analyzed clinical triage workflows, data sources, and partner needs.

Architecture & Planning

Designed secure, scalable AI and inference architecture.

Engineering & Integration

Built NLP and model pipelines with API interfaces.

Testing & Validation

Validated clinical relevance, accuracy, and performance.

Deployment & Support

Rolled out production services with monitoring and iterative improvements.

Outcomes Delivered

92% Triage Accuracy Rate

AI-powered symptom assessment achieved high alignment with clinical evaluation standards.

35% Reduction in Unnecessary Consultations

Guided patients to the appropriate care level, decreasing avoidable primary and emergency visits.

50% Faster Symptom Assessment Completion

Real-time NLP inference accelerated digital front door intake workflows.

10+ Supported Languages

Platform scaled symptom triage capabilities across multiple languages and global healthcare partners.