See the live Product here: https://domainschool.github.io/adhereOS-Patient-Retention-in-Clinical-Trials/ The Problem: Industry data shows that 30% to 40% of patients drop out of clinical trials prematurely. It costs roughly $6,533 to recruit a patient, but replacing one who leaves mid-trial spikes the cost to an average of $19,533 per patient due to compliance gaps, re-screening, and protocol deviation penalties. A typical tech organization would spend upwards of $554K to architect and deploy a robust solution to this problem—but today, I’ve built a functional version in a fraction of that time using AI-assisted "vibe coding". The Solution: AdhereOS acts as an engagement layer, utilizing event-driven architecture to keep patients connected to life-saving trials. Instead of relying on clunky, legacy eCOA systems that cause "patient burnout," AdhereOS uses gamified swipes, streaks, and sentiment-aware nudges to prevent protocol deviations before they happen. What you will learn (Domain-specific expertise): FDA Compliance (21 CFR Part 11): Understanding the absolute necessity of secure, tamper-proof, append-only audit trails in health-tech. Event-Driven Architecture (EDA): Utilizing scheduled cron jobs to move from reactive data collection to a proactive deviation-prevention engine. RAG for Adverse Event Detection: Using Retrieval-Augmented Generation to scan free-text patient logs for high-risk sentiment, ensuring clinical teams never miss a health signal. #BuildInPublic #VibeCoding #DomainSchool #HealthTech #ClinicalTrials #SolutionsArchitecture #AI #SoftwareEngineering #Innovation #AIforGood