Full-stack healthcare AI voice assistant: voice triage, symptom analysis, specialist matching & appointment booking.
The Smart Health Expert System (SHES) is a full-stack web application that provides AI-driven clinical decision support tailored to Kenya's healthcare context. It bridges the critical gap between patients and the severely overstretched healthcare system by offering instant, evidence-based medical guidance through a rule-based inference engine.
Safety-first clinical decision-support prototype for emergency-department triage using a feature-conditioned CDM, live queue monitoring, role-based dashboards and auditable clinician overrides.
Deadline-aware emergency-department triage under uncertainty — Accenture Innovation Challenge 2026 Round 2.
A Java console-based system for analyzing patient symptoms and assessing health risk levels using rule-based logic.
Agentic AI system that autonomously matches patient profiles to clinical trials using a 7-state reasoning loop and the ClinicalTrials.gov public API
Multi-agent AI system for clinical trial eligibility matching using ClinicalTrials.gov v2 API — built 2026-07-27
Agentic AI pipeline that autonomously matches patient profiles to clinical trials — 5-step reasoning loop with eligibility scoring, lab value extraction, and prioritized reports
A pre-consultation intake tool that organises patient-reported symptoms for professional review. It does not diagnose, treat, or replace a qualified clinician. I designed the architecture to solve a classic data engineering problem: turning messy, unstructured human input into clean, structured, and auditable database records.
Application to carry out testings on LLM performing patient triage
Clinic OPD platform for structured patient intake, triage and queue management.
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