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Releasing Results Without Clear Criteria

Releasing analytical results without clear criteria increases the risk of inconsistent decisions, undermines analytical reliability, and weakens regulatory compliance. Learn how objective criteria combined with a Laboratory Information Management System (LIMS) strengthen the integrity of laboratory data.

Releasing results without clear criteria is a critical flaw that directly compromises analytical reliability and decision-making. In a laboratory, a result is not just a number — it is technical information that must be backed by defined criteria, documented evidence, and consistent scientific judgment. A common example: two different analysts evaluating the same borderline result can reach opposite decisions — one releases it, the other rejects it — simply because there is no documented decision criterion.

When well-established release rules don’t exist, room opens up for subjective interpretations, inconsistent decisions, and a higher risk of approving inadequate data. This affects not only internal quality but also the laboratory’s credibility with clients and regulatory bodies.

What ISO/IEC 17025 Requires for Releasing Results

The ISO/IEC 17025 standard requires laboratories to define documented decision rules for releasing results, especially when close to specification limits, and that these rules be communicated to the client. In the pharmaceutical sector, ANVISA oversees this process as part of quality assurance before batch release.

What Does Having Clear Criteria for Releasing Results Mean?

Having clear criteria means defining in advance which conditions must be met for a result to be considered valid and fit for issuance. These criteria must be documented and aligned with the analytical method, product specifications, and applicable regulatory requirements.

This includes, for example, compliance with validation parameters, adequate performance of quality controls, verification of calculations, full traceability, and the absence of uninvestigated deviations.

In addition, the release decision must be based on technical evidence, not subjective judgment or operational pressure. When criteria are well defined, the process becomes consistent, auditable, and defensible.

Consequences of Not Having Defined Criteria

The lack of clear criteria creates inconsistency in decision-making. Similar results may be treated differently depending on the professional responsible or the operational context.

It also increases the risk of releasing incorrect results. Without structured verification, calculation errors, preparation failures, or uninvestigated deviations can go unnoticed.

Another significant impact is the difficulty during audits. When there are no documented criteria, the laboratory cannot objectively demonstrate how the release decision was made. This undermines the traceability and integrity of the quality system.

In more critical situations, inadequate decisions can directly affect product quality, consumer safety, and regulatory compliance.

Essential Elements for Reliable Results Release

A reliable release starts with defining objective, measurable criteria. Each result must be evaluated based on previously established parameters, with no room for ambiguous interpretations.

It is also essential to carry out an independent technical review, especially for critical analyses. This review should include verification of raw data, calculations, experimental conditions, and compliance with the method.

Traceability is also essential. All elements involved in the analysis, such as sample, reagents, equipment, and operator, must be properly recorded.

Another important point is deviation management. Results associated with ongoing investigations or out-of-control conditions should not be released without a full impact assessment.

Integrating Release with the Quality System

Releasing results must be integrated into the laboratory’s quality system. This means it is not an isolated step, but part of a controlled flow involving execution, verification, and approval.

Procedures must clearly define responsibilities, acceptance criteria, and the approval flow. In addition, the team must be trained to understand the importance of this step and act with technical rigor.

Consistency in the release process contributes to the stability of the analytical system and reinforces confidence in the data generated.

LIMS as Support for Releasing Results

In this context, a Laboratory Information Management System (LIMS) can structure and automate the results release process. The system makes it possible to configure acceptance criteria, block results that don’t meet requirements, and record every step of the review and approval process.

In addition, LIMS ensures full traceability, linking each result to raw data, analytical conditions, and the people involved. This makes audits easier and strengthens process transparency.

Another relevant advantage is standardization. The system reduces variability in decision-making, since it consistently applies previously defined rules.

However, it’s important to note that LIMS does not replace technical judgment. It organizes and controls the process, but critical evaluation and the final decision remain the responsibility of qualified professionals.

Conclusion

Releasing results without clear criteria compromises data integrity and laboratory credibility. Without defined rules, the process becomes subjective, inconsistent, and vulnerable to errors.

Establishing objective criteria, performing technical reviews, and ensuring traceability are essential measures for guaranteeing result quality. They also strengthen regulatory compliance and confidence in the decisions made.

When this process is supported by tools such as a LIMS, the laboratory gains consistency, control, and transparency. As a result, releasing results stops being an administrative step and becomes a critical checkpoint for analytical quality validation.

In an environment where data underpins technical and regulatory decisions, releasing a result is not just completing an analysis. It is affirming, based on evidence, that the data is reliable and technically defensible.

Felippe Domingos

Felippe Domingos

Felippe Domingos is a chemical engineer and Co-Founder of Actiz, a company that offers the most advanced LIMS in Latin America to optimize laboratory management with a focus on efficiency and cost reduction. With more than 200 projects in sectors such as pharmaceuticals, food, and petrochemicals, Felippe has built extensive experience in implementing LIMS systems.

In 2020, after a request from an oil industry company in Colombia, he founded Actiz — a modern and accessible solution specially developed to address the challenges faced by laboratories in Latin America. Today, Actiz is present in four countries, serving segments such as food, biotechnology, and environmental analysis.

Felippe shares his insights on laboratory automation and digitalization on LinkedIn. Connect with him to learn more about the future of laboratories with LIMS.

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