DissoAmerica 2022 - Session 4 - Ajay Pydah

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Dissolution Data Integrity

Who did what, when, and where?

Ajay Pydah, Lead Software and Data Management SOTAX

Data Integrity: A Hot Topic

Data Integrity Compliance with Use of Automation

Instrument Automation

Automation

Topics. •
• Simply
• Traditional
• Data

Why is Data Integrity such a “hot” topic?

Data Integrity and Compliance with cGMP, Guidance for Industry, April 2016

GMP Data Integrity Definitions and Guidance for Industry, March 2015

COMPLIANCE

Increasing cGMP violations.

SECURE & COMPLETE data storage Data cannot be “lost” Documented at the TIME of performance ORIGINAL RECORDS must be stored COMPLETE records of all tests performed Increasingly cGMP violations involving DATA INTEGRITY

Incomplete data.

Most data integrity concerns observed by the FDA find that the data included in the official records is not the complete data.

Data Integrity Matters: Why is Data Integrity Important?, Heather Longden, Waters, May 2017

Not all results included.

Other “versions” of the truth exist in the electronic records, yet never became part of the official record.

These results have been excluded by oversight, without scientifically justified invalidation or deliberately to deceive.

Simply all data.

Data integrity requirements apply equally to manual (paper) and electronic data.

Manufacturers and analytical laboratories should be aware that reverting from automated / computerised to manual / paper based systems will not in itself remove the need for data integrity controls.

Data Integrity “includes” 21 CFR Part 11.

Data integrity is about all data

21 CFR Part 11 is “only” about electronic data

Code of Federal Regulations Title 21 (21 CFR, Part 11), April 2016

Data Integrity and Compliance with cGMP, Guidance for Industry, April 2016

Regaining the trust.

Today, laboratories need to prove their data integrity and regain the trust of regulators, focusing on the existence of “orphan data” and what it might be hiding.

Data must be “ALCOA”.

CONTEMPORANEOUS

The FDA has been using the ALCOA acronym as a guide to their expectations regarding evidence (both paper-based, electronic, and hybrid) for years and most other health inspectorates have similar expectations. As such, it is immensely useful in developing strategies to prospectively generate strong evidence in both research and manufacturing.

ALCOA

Standard for evidence, T.J. Kuhn, Good Practice for the Pharmaceutical Industry from the Quality Assurance Perspective, July 2008

→ Recorded “AT THE SAME TIME” when observed ORIGINAL → No (manual) transcription ACCURATE → Correctly measured ATTRIBUTABLE → WHO created a record and WHEN? → “READABLE”LEGIBLE

What if there is no Audit Trail? COMPLIANCE

Conclusions for “simple” systems.

requirements

• User authentication is mandatory • Audit trail • To trace WHAT was done by WHOM and WHEN to Master Data • To trace all human actions (what / who / when) from test start to test end • Version control of Product / Method • Data storage requires • Protected data storage • Backup / Restore • Increasing validation

COSTS

Up to 70% of product costs are related to data management Global QC Expert Group, 2017 Data Management 70% Manufacturing & Analysis 30% PRODUCT COSTS

Data Management

QUALITY DATA for the batch Product A Batch #001230405 RELEASE of the batch TEST CLASSES INSTRUMENTS TEST DATA & EVALUATION
Hardness Friability Disintegration DISSOLUTION CONTENT UNIFORMITY Particle size distribution Tap Density Flowability Blend Uniformity Weight Thickness Width & Diameter/Length Moisture content Material identification

Avoid “process breaks” / manual recording.

Automated systems → to automatically collect data

all the

• Electronic data management → to be able to handle
data

Costs beyond data capture >>> Storage and Retention.

• Data Integrity is the term used to describe the overall accuracy, completeness, and consistency of data generated in the workplace, specifically, the Pharmaceutical industry.

• We uphold this integrity by having a GMP mindset in that we regulate processes, rules and accepted standards.

PHYSICAL INTEGRITY: Protection of the entirety and the accuracy of the data being stored. Protection from fire, flood, theft, format changes, accidental deletion.

LOGICAL INTEGRITY: Data remains unchanged over time regardless of storage or retrievals and protected from human errors and hacker intrusions.

How do you work today?

Dissolution

Prepare. Test. Clean.

Critical tasks?

How

much time does your laboratory team spend on tasks such as filling vessels and cleaning the system? Empty Vessels & Clean System Test start Prepare & Degas Media Introduce Dosage Form Fill Vessels Withdraw SamplesFilter & Collect Samples

What do you not want to automate?

Manual Dissolution.

Analyze Report

Vessels Clean

100% manual.

All steps of the dissolution test are performed manually. An automatically generated report documents the test conditions.

Empty

Semi-Automated Dissolution.

Unattended sampling.

Semi-automated systems automate sampling and filtration for a single test run with integrated analytics or offline sample collection.

Prepare Degas Fill Vessels Introduce Tablets Withdraw Samples Filter Collect Analyze Report Empty Vessels Clean Setup System

Fully Automated Dissolution. 100% Unattended

.Clean

Clean in place the same way every time – and let your system prepare itself for the next run.

Fill

Fill vessels automatically and record delivered volumes gravimetrically. Media is dispensed down the vessel wall avoiding reaeration.

Test

Take samples the same way every time from repeatable sampling positioning to automatic filter change and replacement of collected sample volumes, or pH changes.

Empty

No need to remove vessels anymore. The self cleaning system automatically empties all vessels on completion of a test run and starts the washing routine.

Multiple Dissolution Tests. Keep on running.

Prepare

Degas Fill Vessels Introduce Tablets Withdraw Samples Filter Collect Analyze Report Empty Vessels Clean Setup System

Automated Dissolution: Compliant and Efficient

Methods and your Meta Data are version controlled.

CFR Part 11 Compliant.

Audit trial in a centralized database.

Single Sign-on mechanisms for user authentication.

Data automatically pushed to your

Data Integrity built in!

LIMS •
Product A Batch #001230405 RELEASE of the batch

TEST CLASSES INSTRUMENTS TEST DATA & EVALUATION

Density

Product A Batch #001230405 RELEASE of the batch
Hardness Friability Disintegration DISSOLUTION CONTENT UNIFORMITY Particle size distribution Tap
Flowability Blend Uniformity Weight Thickness Width & Diameter/Length Moisture content Material identification

Individual Tests. Entire Batch. Record. Evaluate. Report.

Measurements & Statistics of individual test runs and entire batch

Evaluation of individual test runs and entire batch

Overview of all test runs performed for the batch

+ +
Measurement report Master report Compact report

Ease of regulatory compliance

trail with

functions

Method version control

Electronic signatures

Efficiency included. From audit trail to electronic signatures, product version control, and advanced user management with full LDAP integration

the q-doc® framework is designed for efficient operation with full 21 CFR Part 11 compliance.

. Data integrity built-in --21 CFR Part 11 --Use your Windows® password (LDAP) --Audit
search
--Product /
---

Why is Data Integrity such a “hot” topic?

Compliance. Costs.

Data Management 70% Manufacturing & Analysis 30%

Thank You for Your Attention

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