AI in Healthcare
A ~40-minute brief for hospital execs, clinical leaders, CMIOs, healthcare CIOs, payer leaders. Ambient scribing, clinical decision support, radiology, patient-facing AI, payer AI, 4-quadrant regulatory posture. Grounded in FDA SaMD, EU MDR, HIPAA, India DPDPA.
8
Chapters
~40 min
Duration
Intermediate
Level
No
Certification
How this course works
- 8 audio-narrated slide chapters · ~40 min of focused content
- Capstone with interactive Markdown builder you take to your team
- Trust trip-wires on every play — what not to cross
- Free verifiable certificate on completion
What you'll walk out with
Specific outcomes from this course — no fluff.
- Read the healthcare AI landscape honestly — FDA's 1000+ AI-enabled device list (~80% radiology) and where each use case actually sits today
- Stand up ambient scribing the right way — HIPAA BAA, in-tenant processing, 3-sentence patient consent script, EU AI Act Art. 50 + DPDPA
- Hold the clinical-decision-support line — Epic Cosmos / UpToDate / Tempus as augmentation, ABIM + AMA + CMS responsibility on the clinician
- Deploy diagnostic AI with discipline — Aidoc / Annalise / Heuron, FDA SaMD pathway, radiologist-in-the-loop, 3 deployment patterns
- Handle patient-facing AI safely — Air Canada Moffatt cross-domain, EU Art. 50 + HIPAA + India DPDPA, real consent + honoured opt-out
- Draw the payer-AI line that survives — ProPublica + CMS scrutiny, approvals AI-augmented, denials require clinician-in-the-loop
- Defend a 5-section compliance + ethics document with FDA / HIPAA / EU AI Act / NIST AI RMF / ABIM, AMA, CMS
- Walk out with a 2-quarter hospital AI roadmap and 4 trust trip-wires (physician responsibility · patient consent · no AI-only denials · no set-and-forget)
Course content
8 chapters · ~40 min
Welcome
A 1-minute orientation — what the course covers, how to navigate, and what you walk out with. No audio on this screen.
The healthcare AI landscape
FDA AI-enabled devices list: 1000+ by mid-2025 (~80% radiology). Microsoft+Nuance DAX ambient scribing widely deployed. Epic Cosmos/AI. Tempus/Flatiron oncology. Aidoc/Annalise/Heuron radiology. ABIM/AMA/CMS unambiguous: clinical decisions = physician responsibility. 3 failure modes (hallucination, bias, Air Canada).
Ambient scribing
Microsoft Nuance DAX, Abridge, Suki, Augmedix, DeepScribe — fastest-deploying healthcare AI use case. 2+ hours/day physician documentation saved. HIPAA BAA required. In-tenant/in-VPC processing. 3-sentence patient consent script. EU AI Act Art. 50 + India DPDPA.
Clinical decision support
Epic Cosmos+AI, UpToDate Clinical AI, Tempus/Flatiron oncology, Owkin multi-omics. ABIM+AMA+CMS responsibility line unambiguous: physician decides, AI supports. Stanford hallucination cross-domain = medical-error vector. Retrieval grounding + citations. Bias monitoring across demographic subgroups.
Radiology + diagnostic AI
Most-deployed FDA-cleared AI (~80% of 1000+ devices). Aidoc, Annalise, Heuron, Viz.AI, RapidAI. FDA SaMD pathway since 2017. Radiologist-in-the-loop required. 3 deployment patterns: workflow triage, second read, pre-screen. False-positive/negative trade-offs tracked.
Patient-facing AI + consent
Patient chatbots, symptom checkers, discharge instruction AI, post-discharge follow-up bots. Air Canada Moffatt cross-domain applies directly — coverage commitments + clinical statements = hospital's statement. EU AI Act Art. 50 + HIPAA + India DPDPA. 3-sentence consent script. Honour the opt-out.
Payer AI + the controversy
Most-contested healthcare AI use case. ProPublica + ABC News investigations of large-payer prior-auth denials. Class-action settlements through 2024. State AG investigations (CA, NY, TX) through 2025. Proposed CMS rules through 2025 on prior-auth AI transparency. The line: approvals can be AI-augmented, denials need clinician-in-loop.
Regulatory and ethical posture
4-quadrant compliance: FDA SaMD + EU MDR/IVDR (clinical AI as medical device) · HIPAA + India DPDPA + EU GDPR Art. 9/22 (health data protection) · EU AI Act (Annex III + Art. 26/27/50/99) · NIST AI RMF + CHAI + ABIM/AMA/CMS (ethics + voluntary). 5-section compliance and ethics document.
Making it stick: your hospital AI roadmap
2 use cases · 2 quarters · patient-safety through-line. Q1 = ambient scribing + radiology AI with controls. Q2 = one CDS use case with full physician-in-the-loop. 4 trust trip-wires: physician responsibility, patient consent, no AI-only denials, no "set and forget". Interactive roadmap builder.
Want this delivered inside your organisation?
The course is the starting point. The same content powers a 4-week pilot, an org-wide rollout, or a continuous build engagement — set up on your data, with your team, by Gennoor Tech.