Ayman Ramadan
Healthcare AI & Automation Specialist
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AI-Powered Hospital Incident Intake & Escalation Workflow
An n8n workflow that automates hospital incident reporting — captures submissions from Google Forms, uses Groq AI to classify severity (Critical/High/Moderate/Low), logs to Google Sheets, and instantly alerts the safety manager for critical events. Built for healthcare quality & safety teams to eliminate manual triage and missed escalations.
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Staff Compliance Tracker for Healthcare Teams
Python-based healthcare compliance tracking project that monitors training, licensing, and vaccination status, then turns raw records into KPI dashboards, department summaries, and action-ready follow-up lists.
3 bullets:
Tracked 200 staff records across multiple hospital departments using a structured compliance classification model.
Generated executive KPIs, overdue requirement analysis, and department-level compliance summaries.
Produced action-ready outputs including critical cases and overdue detail files for operational follow-up.
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Hospital Incident Safety Dashboard
Python-based healthcare dashboard for analyzing incident trends, severity distribution, and high-risk hospital departments.
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