ICH Q9(R1) and its 7 linked instruments
How to read this page
- First column: ICH Q9(R1). The others are every document linked to it.
- Scroll sideways if there are more columns than fit.
- It does not compare content. It does not say which is stricter. Read the official texts for that.
| ICH Q9(R1) | Annex 11 revision | ICH Q10 | Annex 15 | FDA data integrity Q&A | FDA quality systems guide | MHRA GxP data integrity | EMA AI reflection paper | |
|---|---|---|---|---|---|---|---|---|
| Authority | ICH | European Commission | ICH | European Commission | FDA | FDA | MHRA | EMA |
| Legal weight | Guidance & Q&A | GMP guide & annexes | Guidance & Q&A | GMP guide & annexes | Guidance & Q&A | Guidance & Q&A | Guidance & Q&A | Guidance & Q&A |
| Status | Final | Draft | Final | In force | Final | Final | Final | Final |
| Last verified | Not yet | Not yet | Not yet | Not yet | Not yet | Not yet | Not yet | Not yet |
| Summary | The international guideline on quality risk management. It is the basis for scaling validation effort to risk in Annex 11, Annex 22 and computer software assurance, and the 2023 revision addresses subjectivity, formality and risk-based decision-making. | A full rewrite of Annex 11, published for consultation with the revised Chapter 4 and the new Annex 22. It expands expectations on supplier oversight, data integrity, audit trails, identity and access, cloud and outsourced services. Not yet in force: the 2011 Annex 11 still applies. | ICH model for an effective quality management system for the pharmaceutical industry. | The EU GMP annex on qualification and validation. | FDA's question-and-answer guidance on data integrity in drug manufacturing: ALCOA, audit trail review, access controls, shared logins and when electronic data are CGMP records. | FDA guidance to help manufacturers use modern quality systems and risk management to meet the CGMP regulations in 21 CFR parts 210 and 211. | UK guidance and definitions for data integrity across GxP areas, including data governance, ALCOA+, audit trails and computerised system controls. | EMA's current thinking on AI and machine learning for human and veterinary medicines, covering principles that apply at any stage of a medicine's lifecycle, from drug discovery to after authorisation. |
| Lifecycle |
|
|
|
|
|
|
|
|
| Source | Official text Source: ICH. | Official text Source: European Commission. Licensed under CC BY 4.0. | Official text Source: ICH. | Official text Source: European Commission. Licensed under CC BY 4.0. | Official text Source: FDA. Public domain. | Official text Source: FDA. Public domain. | Official text Source: MHRA. Contains public sector information licensed under the Open Government Licence v3.0. | Official text Source: EMA. |
These facts are placed side by side from each record. This page does not say which is stricter or whether requirements differ. Read the official texts.