Implementing And Optimizing Your eQMS

By Varun Venkatachalam and Jim Morris, IQS Consulting

This is the second article in a three-part series on electronic quality management systems (eQMS) in pharma and biotech. The first article addressed selection of an eQMS. It examined the current eQMS landscape, argued that platform selection is a strategic quality decision rather than an IT or procurement exercise, and set out what a future-ready system must enable to strengthen the pharmaceutical quality system (PQS) and support continuous improvement. This second article picks up where selection leaves off. Choosing the right platform is only the first step, and realizing value from it is a separate and more demanding undertaking. Here we address everything that follows the signed contract: how a system is configured, validated, adopted, and maintained. The third and final article in the series will turn to the application of artificial intelligence in quality management systems, so stay tuned for that installment.

This article explores the following:

• Why implementation, rather than selection, determines whether an eQMS delivers value.
• The configuration decisions that most often go wrong, and how to contain them.
• How validation effort can be matched to risk without weakening the compliance position.
• How record quality and a single source of truth shape inspection outcomes.
• What it takes to sustain the system through administration, training, and governance.

Where Value Is Won Or Lost

A common assumption holds that once a capable platform is chosen, the outcome is largely settled. In practice, the opposite is true. Two companies can license the same system and arrive at entirely different results. One builds a clean, navigable system that supports fast and defensible decisions. The other builds a maze of categories, fields, and approval steps that frustrates users and obscures the very information regulators expect to find.

The reason is that an eQMS is not a finished product on delivery. It is a framework that must be shaped to reflect how a specific company makes quality decisions. Every configuration choice either clarifies or complicates. When those choices are made without a clear design intent, complexity accumulates, the system drifts away from how people actually work, and users begin to adapt in ways that weaken data integrity. The system then settles into the role of a passive record store rather than an active support to quality execution.

From our perspective, implementation should be treated as a quality design activity, not a technical deployment. The objective is not to switch the system on. The objective is to build a system that a reviewer, an auditor, or an inspector can navigate and trust and that the people who use it every day can rely upon without resorting to workarounds.

The Discipline Of Configuration

The most consequential implementation decisions concern configuration. Configurable systems are marketed on their flexibility, and that flexibility is genuinely valuable. It is also the origin of the most common implementation challenges we observe.

There is an important distinction between configuration and customization. Configuration uses the settings the vendor supports and maintains through its release cycle. Customization alters the system beyond those supported settings and is not guaranteed to survive an upgrade. Each vendor release then risks breaking custom elements, which generates recurring validation and maintenance work. GAMP 5 (Second Edition) frames this well by correlating rigor of validation and documentation to its risk and complexity.¹ Our recommendation is to remain within the base configuration wherever possible and to treat every customization request as a liability that must be justified against the cost of maintaining it through future updates. Where the base system creates a genuine friction point, the better response is usually targeted training rather than altering the base configuration.

Configurability without constraint also leads to workflow bloat. A deviation process that should require three approval steps can, after a succession of well-intentioned additions, come to require seven. Each additional field and each additional signature can sacrifice cycle time and user patience. We saw this dynamic clearly in our procedural work supporting an early-stage combination products manufacturer that utilized a highly configurable eQMS. Workflows were arranged with excessive stage gate approvals that resulted in slow document approvals. Prior to product licensure that might not be an issue; however, it is sure to become a handicap on commercialization.

A further and costly error is the proliferation of document categories and record types. When categories multiply, the system becomes harder to maintain, and its search performance degrades. Even a platform with strong search capabilities will frustrate users when categorization is inconsistent, and this is one of the leading reasons companies report that records are hard to locate. In a recent reconfiguration engagement for a development-stage company on a cloud-based eQMS platform dealing with an extensive list of document categories, the practical remedy was to consolidate categories wherever document types shared the same approval, export, and access requirements and to keep those requirements consistent within a category.

Configuration discipline also means using the modules the vendor built for the job. Teams sometimes force a function into a general purpose module because it is familiar, rather than adopting the purpose-built module designed for it. One company we have supported elected to use a deviation module to handle vendor complaints instead of the module designed for that purpose. This worked, but the workaround was awkward and did not leverage the features available in the purpose-built module. We recommend that each quality system process should be mapped to its intended module. This exercise is best accomplished by an appropriate implementation team, before configuration begins.

In our experience, the strongest outcomes come from a small core team that pairs quality ownership with system administration and includes the voice of the users who will interact with the system. Quality should own the design intent, a knowledgeable administrator should translate that intent into configuration through process mapping, and representative end users should test whether the result matches how work is done. A defined design phase that documents intended workflows and record expectations before anything is built, followed by testing in a sandbox against real scenarios, prevents most pitfalls in later stages.

Validation Matched To Risk

Validation is often treated as a fixed and heavy burden applied uniformly to every element of a system, whereas a risk-based approach is both more efficient and more defensible. The principles in GAMP 5 (Second Edition) direct validation effort to where a failure would most affect product quality and data integrity,¹ and a computer software assurance approach concentrates testing on high-risk functionality.

Regulators expect controls to exist and to be effective. Compliance demonstrates that the controls are present; effectiveness demonstrates that the system works under the pressure of real operational demands.² A validation strategy that is proportionate to risk satisfies both without burying the organization in documentation that adds cost rather than assurance.

The Record As A Single Source Of Truth

This is the implementation dimension most likely to surface during a regulatory inspection, and the one companies most often tolerate rather than solve. It is also, in our experience, where a well-designed eQMS creates the greatest and least appreciated advantage.

Nonconformance and deviation records regularly come under scrutiny during inspections, and reviewers frequently struggle to follow these records. When a record cannot stand on its own and explain the decision that was taken, the company is exposed, regardless of whether the underlying investigation was sound. Every eQMS record should tell its story with clarity and confidence without the author needing to be present to explain the event.³

A retrospective review of deviation reports reveals a common challenge related to the use of an eQMS platform. When a reviewer opens a record, the relevant information is often scattered across attachments, linked documents, and sometimes offline notes. Therefore, the reviewer has a lot of difficulty reconstructing the full picture. This fragmentation is a property of how the system was implemented rather than a failing of any one author. For example, many companies will complete the eQMS data fields and attach a separate investigation report that is typically used to explain the event during an audit or FDA inspection. Invariably, discrepancies crop up within the same record. Problem descriptions might vary within the record or, more significantly, the investigation conclusions and root cause statements can be significantly different within the same record. This becomes difficult to explain and a treasure for the auditor seeking to find fault.

Achieving records that stand alone is an implementation choice, not merely a training exhortation. The workflow should define what a complete, reviewable record looks like for each event type and build that expectation into the system. Detailed completion instructions belong in a work instruction, not embedded in the record itself, so that the record stays clean and readable. At each stage of the workflow, the system should make explicit which attachments and which document links are expected, so a reviewer knows what should be present. Confirming that the documentation is linked or attached in the correct place should be a defined quality review responsibility.

Sustaining The System Over Time

Implementation does not end at go-live. A system that is well built and then left unattended will drift back toward complexity as people, needs, and vendor releases change. And it is incredibly difficult to unwind complexity once built into any eQMS system.

Administrator capability is frequently the hidden root cause behind a struggling implementation. When administrators are not well versed in the platform, poor configuration decisions accumulate and the system becomes progressively harder to maintain. Often our eQMS support team often finds in the assessment of an existing eQMS system that the overcomplexity in workflows and categorization can be traced back to configuration choices made without a full understanding of the platform's category and permission model. Formal administrator training on configuration, category management, and permissions is therefore a high-return investment. The goal is to build internal capability rather than a permanent dependency on outside support. The role of “eQMS administration” is often an under-appreciated discipline. It is much more than granting user rights. Administrators are often involved in decisions regarding record categorization, system configuration, and change control.

Every system also has areas that are simply not user friendly. Left unaddressed, these become the points where adoption breaks down and workarounds begin. Because heavy customization introduces upgrade and maintenance risk, training is usually the better lever for these friction points. Short demonstration videos are the most effective format, since they show the exact sequence a user must follow and are inexpensive to refresh when a release changes the interface. Training should be revisited whenever a vendor update alters the user experience, so that the guidance and the system never fall out of step.

Governance closes the loop. Procedures or work instructions describing how the eQMS is used and maintained tend to drift out of date as the system changes and, without current procedures, practice varies by individual and reintroduces inconsistency. Standard operating procedures for eQMS use and administration should be reviewed and updated as part of any reconfiguration and assigned to a clear owner responsible for periodic review.

Conclusion

An eQMS earns its value in implementation and in daily use, not at the time of purchase. As noted in our first article, the eQMS is a reflection of the maturity of the company’s quality management system. The same platform can become an asset or a liability depending on how it is configured, validated, adopted, and maintained. In summary, our recommendations are to:

•  Configure an eQMS with caution and restraint.
• Match validation to risk.
• Build records that stand on their own.
• Provide users clear templates and instructions to achieve consistent application of an eQMS.
• Create the “single source of truth” giving reviewers one place to review a deviation or complaint record and see the whole story.
• Sustain the system through capable administrators and current governance.

None of these recommendations are far-fetched and none depend on a particular eQMS vendor. They are the practical determinants of whether a quality system is efficient and effective or merely compliant.

The single source of truth deserves particular emphasis. It is the problem most organizations tolerate and the one that does the most damage under inspection. A system deliberately built so that each record tells a complete story offers an advantage that remarkably few companies have realized, and it is within reach of any organization that approaches an eQMS implementation plan strategically.

The third and final article in this series turns to the application of artificial intelligence in quality management systems, examining how emerging AI capabilities can help improve eQMS record quality and maximize pharmaceutical quality system maturity.

Acknowledgment

The authors wish to acknowledge the input of Nancy Castle and her extensive expertise with a number of eQMS platforms.

References:

1. ISPE, GAMP 5 (2nd Edition): A Risk-Based Approach to Compliant GxP Systems
2. MHRA & FDA inspection metrics (2018–2023)
3. PDA, Quality Culture and Maturity Models\

About The Authors:

Varun Kolla Venkatachalam is a pharmaceutical quality and digital transformation consultant with over 15 years of experience, including consulting at PwC, EY, and NSF International. He champions digital solutions for quality management system improvement and specializes in eQMS platform selection, configuration, and implementation. Venkatachalam holds a Global Executive MBA in healthcare & life sciences from the Rotman School of Management, University of Toronto, and an MSc from the University of Warwick.

Jim Morris leads IQS Consulting, a Boston-based consultancy focused on quality management systems improvement, supply chain assurance, and combination product CMC and cGMP support. His experience spans 35 years in quality and manufacturing with several large and small pharmaceutical companies, including 15 years consulting in the sector.