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Onyedikachi Onwurah
Onyedikachi Onwurah

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Why Healthcare AI Needs Clinicians in the Room

I didn't start in data science. I started at the pharmacy counter—counseling patients, catching interactions, watching systems fail the people they were meant to serve.
That experience shapes everything I build today.
The Gap I Saw
Most healthcare AI is built by brilliant technologists who've never navigated a crowded emergency department at 3 AM. The result? Models that perform well on paper but stumble in practice because they don't respect clinical workflows, documentation realities, or the human factors that drive care delivery.
My Approach
Admission-available variables only
If a feature isn't available within 90 minutes of patient arrival, it doesn't make my model. Real-time decisions require real-time data.
Interpretability as a requirement
Clinicians won't trust what they can't understand. I validate feature importance across multiple model architectures to ensure predictions reflect true clinical signals—not algorithmic artifacts.
Fairness without feature removal
Demographic disparities in healthcare often reflect systemic inequities, not biased algorithms. My mitigation strategies address fairness while preserving the clinical signal demographics may proxy.
Clinical utility over accuracy metrics
A model can have perfect AUC and zero real-world impact. I use decision curve analysis to quantify net benefit—translating statistical performance into lives improved.
What I'm Building
Tools that support emergency care teams with:

Early identification of patients at risk for prolonged stays
Resource allocation insights that optimize patient flow
Transparent explanations that build clinician trust
Equity-aware predictions that advance health justice
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If You're Considering This Path
For clinicians exploring data science: your domain expertise is your superpower. Start with Python, learn epidemiology, contribute to open-source healthcare projects.
For technologists entering healthcare: shadow clinicians. Learn medical terminology. Partner with healthcare institutions. Build with empathy.
Let's Connect
I'm passionate about healthcare AI that balances technical excellence with clinical relevance and health equity.
I am open to remote roles globally.
🔗 Follow My Work:
Medium: https://medium.com/@fora12.12am
Substack: https://substack.com/@glazizzo
Facebook Profile: https://www.facebook.com/profile.php?id=61587376550475
Facebook Group 1: https://www.facebook.com/groups/1710744006974826/
Facebook Group 2: https://www.facebook.com/groups/1583586269613573/
Facebook Group 3: https://www.facebook.com/groups/787949350529238/
LinkedIn: www.linkedin.com/in/onyedikachi-ikenna-onwurah-0a8523162

HealthcareAI #MachineLearning #DataScience #PublicHealth #DigitalHealth

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