# AI Courses for Healthcare > Healthcare · Course catalog > Source: https://ibl.ai/solutions/medical-healthcare/courses > Last updated: 2026-08-25 ## The Short Answer **ibl.ai publishes ten AI courses for healthcare, each a complete specification — module outlines, learning outcomes, assessment design, hands-on labs, and cited primary sources. Request access to run one with your cohort. They run on infrastructure where you own all the code and the data, model-agnostic across any LLM, with no per-seat pricing.** On ibl.ai you own all the code and the data, run it model-agnostic across any LLM, and pay with no per-seat pricing — so you can deploy anywhere, from your own cloud to a fully air-gapped network. [Request Access](https://ibl.ai/contact) · [Explore Healthcare](https://ibl.ai/solutions/medical-healthcare) AI training for clinical and healthcare organizations — HIPAA architecture, documentation, coding, prior authorization, decision support, and the governance and bias auditing behind it. ## Which AI courses are available for healthcare? ### MED-1 — HIPAA-Compliant AI: PHI, BAAs, and Where the Data Lives What HIPAA actually requires of an AI deployment — the BAA analysis, Security Rule safeguards, minimum necessary, and the architecture that keeps PHI inside your boundary. _Foundational · 5.5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/medical-healthcare/course/hipaa-compliant-ai) ### MED-2 — Clinical Documentation with AI: Ambient Notes and Review Deploy ambient documentation safely — accuracy in clinical language, the attestation requirement, note bloat, and measuring whether it returns clinician time. _Intermediate · 5.5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/medical-healthcare/course/clinical-documentation-with-ai) ### MED-3 — Medical Coding with AI: ICD-10, CPT, and Denial Prevention AI-assisted coding that improves accuracy rather than just speed — code suggestion, documentation gap detection, denial prevention, and staying clear of upcoding. _Intermediate · 5.5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/medical-healthcare/course/medical-coding-with-ai) ### MED-4 — Prior Authorization Automation with AI Agents Compress the highest-friction administrative process in healthcare — payer requirement lookup, packet assembly, status tracking, and appeal drafting. _Intermediate · 5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/medical-healthcare/course/prior-authorization-automation) ### MED-5 — Patient Education Agents: Health Literacy and Safety Patient-facing AI that explains conditions and discharge instructions safely — reading level, language access, scope boundaries, and symptom escalation. _Intermediate · 5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/medical-healthcare/course/patient-education-agents) ### MED-6 — AI in Clinical Decision Support: Evidence, Limits, and Liability Deploy clinical decision support responsibly — evidence grounding, automation bias, transparency obligations, and where liability actually lands. _Advanced · 6 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/medical-healthcare/course/ai-clinical-decision-support) ### MED-7 — When Your AI Becomes a Medical Device: FDA and SaMD The regulatory boundary between clinical software and a regulated device — the CDS exemption, SaMD classification, and what changes when a model updates. _Advanced · 5.5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/medical-healthcare/course/fda-samd-when-ai-becomes-a-device) ### MED-8 — Care Coordination Agents: Referrals and Transitions Automate the handoffs where patients are most often lost — referral tracking, transition communication, and follow-up that reduces readmission. _Intermediate · 5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/medical-healthcare/course/care-coordination-agents) ### MED-9 — Healthcare AI Governance and Bias Auditing Stand up an AI governance program in a clinical organization — inventory, review committee, bias auditing across patient populations, and post-deployment monitoring. _Intermediate · 6 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/medical-healthcare/course/healthcare-ai-governance-bias-auditing) ### MED-10 — Clinical Literature Synthesis with AI Use AI for evidence review and research support in a clinical setting — search strategy, screening, extraction, and the verification that prevents a fabricated citation. _Intermediate · 5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/medical-healthcare/course/clinical-literature-synthesis-with-ai) ## Which frameworks and regulations do these courses cover? 21 CFR Part 11, 45 CFR Part 164, CMS coding rules, CMS documentation requirements, CMS interoperability rules, CMS transitions of care, CPT, Common Rule, FDA CDS guidance, FDA SaMD framework, GRADE, HIPAA, HIPAA Privacy Rule, HIPAA Security Rule, HL7 FHIR, Health literacy standards, ICD-10-CM, IMDRF, Information blocking rules, NIST AI RMF, NIST CSF 2.0, ONC algorithm transparency, PRISMA, Payer medical policy, Quality System Regulation, Section 1557, Section 1557 language access, State recording consent law, WCAG 2.2. ## What ships with every course? - **Facilitator guide.** Session-by-session running order, discussion prompts, and the questions that reliably derail a room. - **Learner workbook.** Exercises, checklists, and the templates each module's activity produces. - **Hands-on lab environment.** A sandboxed ibl.ai deployment so exercises run against real agents, not screenshots. - **Assessment bank.** Scenario questions and rubric criteria mapped to each stated learning outcome. - **Source bibliography.** Every primary regulation and standard cited on this page, linked and dated. ## Why run AI training on a platform you own? - **You own the course, not a licence to it.** Course content, learner data, and the platform run inside your perimeter — you own all the code and the data. - **Model-agnostic delivery.** Run the course's AI components on any LLM — Claude, GPT, Llama, Gemini, Command — and switch anytime. - **No per-seat training licences.** Usage-based or self-hosted, so cost tracks actual use rather than headcount. - **Deploy anywhere.** Cloud, private VPC, on-premise, or fully air-gapped — including for cohorts that cannot use public AI tools. ## Frequently asked questions ### What AI courses does ibl.ai offer for healthcare? 10 courses covering 21 CFR Part 11, 45 CFR Part 164, CMS coding rules, CMS documentation requirements, CMS interoperability rules, CMS transitions of care and more — for example: HIPAA-Compliant AI: PHI, BAAs, and Where the Data Lives; Clinical Documentation with AI: Ambient Notes and Review; Medical Coding with AI: ICD-10, CPT, and Denial Prevention. Each publishes its full design: modules, learning outcomes, assessment, and the primary sources it is grounded in. ### How do we get access to these courses? Request access and we will set it up for your cohort — hosted by ibl.ai, or running against your own deployment. Tell us which courses, the group size, and whether it needs to run inside your own perimeter. ### Can we run healthcare AI training on our own infrastructure? Yes. ibl.ai is model-agnostic and deploy-anywhere — cloud, private VPC, on-premise, or fully air-gapped — and you own all the code and the data. Cohort data and anything learners upload stay inside your perimeter, which matters for healthcare teams that cannot send work to a public AI tool. ### How much does AI training for healthcare cost? There is no per-seat pricing — you pay for usage, or self-host and pay only for the infrastructure, so a large rollout does not cost one licence per person. 1.6M+ users across 400+ organizations run the platform this way, including NVIDIA, MIT, and Syracuse University. ### Who are these healthcare courses written for? Practitioners rather than general audiences — each course names its audience and prerequisites explicitly, and levels range across foundational, intermediate, advanced.