ClinAssist analyzes patient symptoms, clinical history, distance, availability, and ML-predicted clinic wait times to match each patient with the best-fit specialist pathway.
Tools designed for doctor-side clinical decision support and patient care continuity.
Evaluates multi-symptom presentations to prioritize referral urgency and identify the optimal medical specialty.
Ranks verified specialists factoring in sub-specialty expertise, patient travel distance, capacity, and ratings.
Predicts expected clinic wait days per doctor based on historical volume, seasonality, and clinic capacities.
Shows specialist locations on Google Maps with real driving directions and estimated travel distance from residence.
Automated care pathway creation for patients with follow-up schedules, medication reminders, and lifestyle guidance.
Captures immediate consultation quality ratings and delayed health outcome check-ins to refine specialist quality scores.
Four intuitive steps from initial GP visit to specialist follow-up.
GP enters patient findings, symptoms, and urgency in the doctor workspace.
Machine learning scores match probability, urgency, and recommended specialty.
Doctor reviews recommendations, adjusts pathways, and approves the referral.
Patient tracks appointment status, clinic directions, and care plan online.
Built with modern healthcare SaaS standards and high-reliability design tokens.
FastAPI backend with TiDB Cloud SQL persistence, Scikit-Learn Random Forest wait-time models, Google Maps Directions API, and real-time quality scoring.
Dedicated Doctor workspace and Patient care gateway with interactive maps, location management, two-phase feedback loop, and digital care pathways.
Sign in as a doctor to manage clinical referrals, or as a patient to track your care journey.