AI for Healthcare & Pharma

This course is built for healthcare administrators, pharma R&D leaders, clinical operations managers, and compliance officers who are drowning in documentation, navigating regulatory complexity, and watching clinician burnout accelerate. AI can change that — but only if you know how to apply it to the specific challenges your organisation faces every day.

This is not a generic AI course with healthcare examples bolted on. Every module, every prompt template, and every workflow is designed around the actual work of health systems and life sciences organisations: clinical documentation, prior authorisation, drug development pipelines, patient operations, and the regulatory frameworks that govern all of it.

A critical distinction upfront: This course covers operational and administrative AI — the kind that helps with documentation, coding, scheduling, literature review, and compliance workflows. It does not cover clinical decision support AI or diagnostic AI, which fall under separate FDA regulatory pathways. That distinction matters, and we will reinforce it throughout.

What you'll produce

1. A clear understanding of where AI fits into healthcare and pharma workflows — and where it does not
2. Prompt templates for clinical documentation, ICD-10 coding, discharge summaries, and prior authorisation letters
3. AI-assisted workflows for clinical trial protocol analysis, literature review, and pharmacovigilance
4. A framework for patient operations: intake, scheduling, referral management, and revenue cycle
5. A compliance playbook covering HIPAA, FDA guidance, BAA requirements, and PHI handling
6. A healthcare-specific business case with ROI metrics your CFO and CMO will understand
7. A 30/60/90 day implementation plan tailored to health systems or pharma organisations

Who this is for

• Hospital administrators and health system CIOs managing operational efficiency across facilities
• Clinical operations managers overseeing documentation workflows, coding accuracy, and revenue cycle
• Pharma R&D leaders managing clinical trial timelines, regulatory submissions, and literature review
• Medical affairs directors responsible for scientific communication and evidence synthesis
• Healthcare compliance officers navigating HIPAA, CMS, Joint Commission, and state regulations
• Life sciences professionals working in pharmacovigilance, regulatory affairs, and medical writing

Time commitment

~4 hours of interactive learning. Best done with your organisation's actual workflows, compliance requirements, and operational pain points in mind.

Course modules

1. Why AI Matters for Healthcare & Pharma — The documentation burden, staffing crisis, and what leading health systems are doing
2. AI Fundamentals Through a Healthcare Lens — How AI works, explained with clinical and pharma examples
3. AI for Clinical Documentation & Coding — Note summarisation, ICD-10 coding, CDI queries, and prior auth letters
4. AI for Drug Development & Life Sciences — Protocol analysis, literature review, FDA submissions, and pharmacovigilance
5. AI for Patient Operations — Intake, scheduling, referrals, revenue cycle, and population health
6. AI for Regulatory Compliance — HIPAA, FDA guidance, CMS, Joint Commission, and the administrative vs clinical AI distinction
7. Building the Business Case — Healthcare-specific ROI, the clinician time argument, and pilot design
8. Your 30/60/90 Day Implementation Plan — From first pilot to organisation-wide adoption

---

Ready? Start with Why AI Matters for Healthcare & Pharma