Overview
The interview for engineers who build RAG and agent systems in healthcare, answered. Eight volumes start with where these systems fit, the clinical data they depend on and how safety and regulation shape every design. They then cover clinical document ingestion, de-identification and chunking, embeddings and indexes that understand medical terminology, and retrieval that returns grounded, cited answers. The later volumes cover agents that work with EHR systems, multi-agent workflows with memory and human oversight, and safety, privacy, security and regulatory compliance, closing with evaluation, production operations and system design case studies. Many answers carry a diagram.
What you will learn
- Explain where RAG and agents add value in healthcare, and where they must not act alone
- Ingest and de-identify clinical documents without losing meaning
- Design terminology-aware embeddings and indexes
- Build retrieval that returns grounded, cited clinical answers
- Design agents that integrate safely with EHR workflows
- Plan human oversight that satisfies clinical safety requirements
- Answer privacy, security and regulatory questions with specifics
- Evaluate, operate and design complete healthcare AI systems
Included with the kit
- 24 written parts, yours for good
- 7h 44m of reading, measured not estimated
- Written for the advanced level
- Every future revision included
- UPI, cards and netbanking
Prerequisites
- Working knowledge of RAG and LLM agents
- No clinical background needed: terminology and regulations are explained as they come up
Curriculum
8 sections · 24 parts · 7h 44m01Volume 1: Healthcare AI Foundations and the Clinical Data Landscape3 parts · 55 min
Understand where RAG and agents fit in healthcare, the clinical data they depend on, and how risk shapes every design decision.
- Healthcare AI foundations: foundations20 min
- Healthcare AI foundations: scenarios18 min
- Healthcare AI foundations: practical17 min
02Volume 2: Clinical Document Ingestion, De-identification and Chunking3 parts · 58 min
Turn messy clinical documents and EHR data into clean, safe, well-structured retrievable units without losing clinical meaning.
- Ingestion and de-identification: foundations21 min
- Ingestion and de-identification: scenarios18 min
- Ingestion and de-identification: practical19 min
03Volume 3: Medical Embeddings, Terminology-Aware Indexing and Vector Stores3 parts · 53 min
Choose, evaluate, and operate embeddings and indexes that understand clinical language and keep patient data secure.
- Embeddings and indexing: foundations20 min
- Embeddings and indexing: scenarios16 min
- Embeddings and indexing: practical17 min
04Volume 4: Clinical Retrieval, Generation and Grounding3 parts · 63 min
Retrieve the right clinical evidence and generate grounded, cited, safe answers for clinicians and patients.
- Retrieval and grounding: foundations23 min
- Retrieval and grounding: scenarios19 min
- Retrieval and grounding: practical21 min
05Volume 5: Healthcare Agents: Tools, Workflows and EHR Integration3 parts · 62 min
Design agents that act safely inside EHR, scheduling, payer, and pharmacy systems with the right level of autonomy.
- Healthcare agents: foundations23 min
- Healthcare agents: scenarios19 min
- Healthcare agents: practical20 min
06Volume 6: Multi-Agent Systems, Memory and Human-in-the-Loop3 parts · 54 min
Coordinate multiple agents, manage memory and state over long clinical workflows, and design human oversight that actually works.
- Multi-agent and oversight: foundations21 min
- Multi-agent and oversight: scenarios17 min
- Multi-agent and oversight: practical16 min
07Volume 7: Safety, Privacy, Security and Regulatory Compliance3 parts · 55 min
Build healthcare RAG and agent systems that protect patients, protect PHI, resist attacks, and satisfy regulators.
- Safety and compliance: foundations21 min
- Safety and compliance: scenarios17 min
- Safety and compliance: practical17 min
08Volume 8: Evaluation, Production Operations and System Design Case Studies3 parts · 64 min
Prove that healthcare RAG and agents are safe and useful, run them reliably in production, and design complete systems in interviews.
- Evaluation and operations: foundations20 min
- Evaluation and operations: scenarios18 min
- Evaluation and operations: practical26 min
Reviews
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