E2B (R3) is the ICH standard defining the electronic format and messaging protocol for transmitting Individual Case Safety Reports (ICSRs). It specifies an XML schema that structures adverse event data—including patient demographics, suspect drugs, and reaction outcomes—into a machine-readable format, enabling automated, interoperable exchange between sponsor safety databases and regulatory systems like EudraVigilance and FAERS.
Glossary
E2B (R3)
The ICH electronic transmission standard for the structured exchange of Individual Case Safety Reports (ICSRs) between pharmaceutical companies, regulatory authorities, and other stakeholders, utilizing XML-based messaging for automated data processing.
ICH ELECTRONIC TRANSMISSION STANDARD
What is E2B (R3)?
The foundational XML-based messaging standard for the structured exchange of Individual Case Safety Reports (ICSRs) between pharmaceutical companies, regulatory authorities, and other stakeholders in the pharmacovigilance ecosystem.
The R3 revision mandates granular data elements and controlled vocabularies, including MedDRA coding for adverse events and the ISO ICH M5 implementation guide for regional compliance. This structured backbone allows automated validation, routing, and acknowledgment of safety reports, replacing legacy E2B (R2) flat-file formats to support global pharmacovigilance signal detection and aggregate reporting workflows.
ICH ELECTRONIC TRANSMISSION STANDARD
Key Features of E2B (R3)
The definitive structured format for exchanging Individual Case Safety Reports (ICSRs) between pharmaceutical companies, regulatory authorities, and other stakeholders using XML-based messaging for automated data processing.
01
XML-Based Structured Messaging
E2B (R3) mandates a strict XML schema defined by the ICH M2 Expert Working Group, replacing the earlier E2B (R2) EDI flat-file format. Each ICSR is encoded as a hierarchical XML document conforming to the ICH ICSR DTD, enabling automated parsing, validation, and routing without manual intervention. The schema enforces data type constraints, code list bindings, and cardinality rules for every element.
HL7 v3
Reference Information Model
ISO 21090
Data Type Standard
02
ICH M5 Gateway Transmission Protocol
E2B (R3) ICSRs are transmitted through the ICH M5 Electronic Transmission Gateway, a secure, standardized messaging infrastructure. The protocol supports:
AS2/AS4
Transport Protocols
TLS 1.2+
Encryption Standard
03
Structured Safety Report Elements
E2B (R3) defines a comprehensive data model capturing all regulatory required fields for an ICSR, organized into logical sections: C.1 (patient characteristics), C.2 (reaction/event details), C.3 (test results), C.4 (drug information), and C.5 (narrative case summary). Each section contains discrete, coded elements using controlled terminologies like MedDRA for adverse events and ISO 3166 for country codes.
5
Core Data Sections
300+
Discrete Data Elements
04
Controlled Terminology Binding
E2B (R3) enforces the use of internationally standardized code systems to eliminate ambiguity in safety data exchange. Key terminologies include:
MedDRA
Adverse Event Coding
ISO/IEC 5218
Sex Representation
05
Acknowledgment and Error Handling
The E2B (R3) standard defines a formal acknowledgment message structure (M2 ACK) that confirms receipt, validates structural integrity, and reports errors at the field level. Receiving systems must return an acknowledgment within a specified timeframe, enabling senders to track transmission status and correct rejected reports. Error codes precisely identify schema violations, code list mismatches, or missing mandatory fields.
ACK/NAK
Response Types
Field-Level
Error Granularity
06
Regional Implementation Variants
While E2B (R3) provides a global core standard, regional regulators have adopted specific implementation guides with additional business rules:
FDA
US Regional Guide
EMA
EU Implementation Guide
E2B (R3) IMPLEMENTATION
Frequently Asked Questions
Clear answers to the most common technical and regulatory questions regarding the ICH E2B (R3) standard for electronic transmission of Individual Case Safety Reports.
The ICH E2B (R3) standard is the international electronic format for the structured exchange of Individual Case Safety Reports (ICSRs) between pharmaceutical companies, regulatory authorities, and other stakeholders. It defines a specific XML-based messaging protocol that encodes all relevant data elements for an adverse event report—including patient demographics, suspect drug information, reaction details, and medical history—into a machine-readable structure. The standard operates by mapping these clinical data points to specific E2B data elements, which are then transmitted via a gateway-to-gateway architecture using the ICH M2 messaging standard. This ensures that a report submitted from a sponsor's safety database can be automatically parsed, validated, and loaded into a regulator's database like EudraVigilance or FAERS without manual re-keying, enabling near real-time pharmacovigilance signal detection.
ICSR TRANSMISSION STANDARDS
E2B (R2) vs. E2B (R3) Comparison
A technical comparison of the ICH E2B(R2) and E2B(R3) electronic transmission standards for Individual Case Safety Reports, highlighting the architectural shift from EDI to XML-based messaging.
| Feature | E2B (R2) | E2B (R3) |
|---|---|---|
Message Format | HL7 v2.x / EDI flat file | ICH M2-compliant XML |
Data Model | Flat, segment-based hierarchy | Structured, object-oriented hierarchy |
ICH Gateway Compatibility | ||
ISO ICSR Standard Alignment | ||
Internationalization Support | Limited character encoding | Full Unicode (UTF-8) support |
Backwards Compatibility | N/A (legacy standard) | Requires R2-to-R3 mapping tooling |
Regulatory Adoption Status | Legacy (phased out in major regions) | Mandated by EMA, FDA, PMDA |
Extensibility for New Fields | Rigid segment constraints | Modular XML schema extension |
Enabling Efficiency, Speed & Accuracy
Intelligent Analysis, Decision & Execution
We build AI systems for teams that need search across company data, workflow automation across tools, or AI features inside products and internal software.
Talk to Us
Search across company data
Give teams answers from docs, tickets, runbooks, and product data with sources and permissions.
Useful when people spend too long searching or get different answers from different systems.
Enterprise searchRAGPermissions
Read more
Automate internal workflows
Use AI to route work, draft outputs, trigger actions, and keep approvals and logs in place.
Useful when repetitive work moves across multiple tools and teams.
AI agentsWorkflow automationGovernance
Read more
Add AI to products and internal tools
Build assistants, guided actions, or decision support into the software your team or customers already use.
Useful when AI needs to be part of the product, not a separate tool.
AI integrationDecision supportModel routing
Read more
About the author
Prasad Kumkar
CEO & MD, Inference Systems
Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.
His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.
LinkedIn
Limited slotsGet a Free AI Consultation
Partnered with leading AI, data, and software stack.
How We Work
Custom AI workflows for your Business
One-fit-all AI don't work for modern businesses. At Inferensys, we aim to understand your business & custom requirements; which we use to define most efficient agentic workflows, the data, and the tools for your business.
01
Review the use case
We understand the task, the users, and where AI can actually help.
Read more02
Pick the right approach
We define what needs search, automation, or product integration.
Read more03
Build the first useful version
We implement the part that proves the value first.
Read more04
Improve from there
We add the checks and visibility needed to keep it useful.
Read moreThe first call is a practical review of your use case and the right next step.
Talk to Us