AI for Healthcare (Global)
Understand AI applications in clinical decision support, medical documentation, drug interaction analysis, and population health analytics. Built for healthcare professionals in the US, UK, EU, and Australia.
"Triage this patient's symptoms, check their prescription for interactions, and generate a discharge summary — all with AI assistance"
6 Modules
Each module builds on the previous one. By the end, you have a complete production system.
- 1
AI in Healthcare Today
AI healthcare landscape + case studies, scoped to HIPAA, FDA, and EU AI Act boundaries on clinical AI
- 2
Clinical Decision Support
AI-assisted ESI triage and differential diagnosis for 3 patients, kept advisory to the clinician
- 3
Medical NLP & Documentation
Automated SOAP extraction, ICD-10-CM coding, and discharge summaries per Joint Commission standards
- 4
Drug Interaction Analysis
AI-powered medication review for polypharmacy prescriptions, referencing FDA black-box warnings and PDMP data
- 5
Patient Data Analytics
Population health report with CMS quality measures and HEDIS metrics, de-identified per HIPAA
- 6
Responsible Healthcare AI
AI governance framework with bias audit, mapped to FDA SaMD pathways and HIPAA / GDPR Article 9 / EU AI Act
Production patterns you'll master
Synthetic data included
- Patient intake forms
- Symptom-condition database
- ESI triage protocols
- Clinical notes (SOAP)
- ICD-10-CM codes
- Drug interactions
- Prescriptions with NDC codes
- Patient demographics (CSV)
- Disease prevalence data
What you walk away with
Shareable portfolio
A public URL showing your module timeline, patterns mastered, and completion status.
All the code
Download everything as a ZIP — pipelines, guardrails, deployment configs. Yours forever.
Module walkthrough
Each module documented with deliverables and the production pattern you implemented.
Ready to build your ai for healthcare (global)?
First course free. $20 per course after that.