Build is Published - Week 4 (In Classroom) - Clinical Trial Retention
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
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Build is Published - Week 4 (In Classroom) - Clinical Trial Retention
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