Cet article est informatif et ne remplace ni une analyse réglementaire ni une validation adaptée au contexte de chaque établissement.
| This article is informative and does not replace either a regulatory analysis or a validation adapted to the context of each facility. |
Digital control of laboratory equipment encompasses the digital solutions used to manage, trace, document, and validate operations related to analytical instruments. Faced with Annex 11 of GMP, ISO/IEC 17025, and COFRAC requirements, organizations can no longer rely solely on manual processes or fragmented tools. According to an ANSM survey published in 2025, 40.9% of the 239 facilities surveyed had not implemented a data governance system. This finding highlights the risks of insufficiently structured management. This article presents these risks, the applicable requirements, the potential gains, and the steps for a controlled rollout.
To discover how regulated companies have structured their digital transformation, explore Picomto’s case studies
| What Is Digital Control of Laboratory Equipment? |
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| Digital control centralizes the management, traceability, and documentation of operations associated with equipment. It can support compliance with Annex 11 of GMP and ISO/IEC 17025, without guaranteeing it. It also helps standardize practices, make records more reliable, and control certain costs of poor quality. |
| Key Data — Digital Control of Laboratory Equipment |
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Key Takeaways on Digital Control of Laboratory Equipment
- Data governance remains insufficiently structured in many facilities.
- Annex 11 governs the validation, access control, security, backups, and traceability of systems subject to GMP.
- Costs of poor quality can weigh on revenue.
- Well-managed digital traceability facilitates preparation for inspections and assessments.
- Adoption depends on usability, training, and actual practices.
“In the field, the organizations that struggle most during audits are often those whose equipment data remains scattered across Excel files, paper logbooks, and isolated software. Digitalization doesn’t solve everything, but it helps structure coherent, accessible traceability. It is as much a matter of credibility as it is a support for regulatory requirements.”
Emmanuel Toulisse, CEO LinkedIn
1. What Are the Challenges and Risks of Non-Digitalized Laboratory Equipment Management?
Equipment management still often relies on paper, spreadsheets, or isolated software. This fragmentation undermines the reliability of results, data integrity, and the demonstration of compliance. Identifying these risks is the first step toward structured digitalization.

1.1. Why Does Fragmented Equipment Management Expose the Laboratory to Critical Risks?
According to ANSM, 68% of surveyed facilities use standalone computerized systems in their quality control laboratories. Out of 3,219 systems recorded, 41% were standalone. This situation can complicate access management, updates, backups, and the reconstruction of a reliable history.
Re-entry of data, data loss, and inconsistencies between media increase the risk of results being invalidated. Traceability becomes difficult to demonstrate when information is scattered without shared governance.
1.2. Warning Signs: How to Identify a Laboratory at Risk of Non-Compliance?
Several indicators reveal a fragile organization: unprotected Excel files, poorly traced calibrations, shared accounts, audit trails not reviewed when required, duplicates, unverified backups, or outdated procedures.
The absence of approved procedures accessible to the right operator is also a warning sign. These situations can lead to findings during an inspection or an accreditation assessment.
1.3. What Are the Operational Consequences of Inadequate Equipment Control?
The impacts can cascade: unreliable results, repeated analyses, release delays, non-conformities, additional costs, and risks to operators or patients.
These consequences justify a structured approach to documentation control and error reduction, tailored to the criticality of each piece of equipment and its influence on results.
2. Why Does the Regulatory Framework Make Digital Control of Laboratory Equipment Mandatory?
Regulatory frameworks do not require digitalizing every control. However, any computerized system used in a regulated activity must be kept under control. Two texts structure this approach: Annex 11 of GMP and ISO/IEC 17025.
2.1. What Does Annex 11 of GMP Say About Computerized Systems in the Laboratory?
Annex 11 of GMP applies to computerized systems used in activities subject to GMP. It calls for validation proportionate to risk, access control, data protection, verified backups, supplier management, and documentation adapted to the system lifecycle.
The audit trail depends on the criticality of the data and the risk analysis. The January 2011 version remains the one listed in EudraLex Volume 4. A revised draft was put out for consultation in 2025, but must not be presented as applicable before its official adoption.
Discover how Picomto’s digital checklists can help structure your field controls and document your processes in a traceable way
2.2. What Are the Specific Obligations of ISO/IEC 17025 for Laboratory Equipment?
ISO/IEC 17025 concerns the competence of testing and calibration laboratories. COFRAC’s LAB REF 02 specifies its application for accreditation in France. Equipment influencing the validity of results must be suitable, identified, maintained, verified, and, where necessary, calibrated according to a documented program.
The standard also requires control of records, relevant metrological traceability, and management of non-conforming equipment. The measures depend on the use and the impact of the instrument on the results.
2.3. How Do ANSM and COFRAC Requirements Align with a Digital Solution?
A centralized platform can support traceability of interventions, role-based access, distribution of approved procedures, field data collection, and reporting. It does not replace a LIMS, a CMMS, or instrument control software.
Digital checklists facilitate documentation. Compliance, however, depends on validation, configuration, procedures, defined responsibilities, training, and actual use.
3. What Concrete Gains Does Digitalizing Laboratory Equipment Bring in Efficiency and Cost Reduction?
Beyond compliance, digital control can improve organization. The gains depend on scope, integration with existing systems, and the quality of processes.
3.1. What Is the Real Financial Impact of Costs of Poor Quality in an Industrial Laboratory?
According to the AFNOR Group’s 2023 CNQ study, 67% of surveyed companies measure their costs of poor quality, and 80% place them between 0 and 5% of revenue. This range covers all causes and does not isolate the portion attributable to equipment.
Costs can include repeated analyses, delays, non-conformities, investigations, recalls, or audit preparation. A reliable estimate requires documented internal indicators.
3.2. How Does Digital Equipment Control Reduce Errors and Improve Productivity?
Digitalization can reduce data re-entry, trigger alerts, and standardize procedures. Access to historical records helps identify deviations, avoid oversights, and speed up certain operations.
Digital procedures on smartphone, tablet, or workstation guide the operator at the moment of action. The benefit depends on the quality of the instructions, the equipment available, and training.
3.3. What Benefits Does Digitalization Bring to Audit Management and Laboratory Credibility?
A centralized system can bring together histories, evidence of execution, applicable versions, and reports. It reduces document searches and facilitates the presentation of evidence during an ANSM inspection or a COFRAC assessment.
Real-time monitoring requires equipment connected to a dedicated system. An instruction or checklist platform should not be presented as an instrument-supervision tool if it does not perform that function.
3.4. Comparison Table: Traditional Management vs. Centralized Digital Control
| Criterion | Traditional / Fragmented Management | Centralized Digital Control |
|---|---|---|
| Regulatory compliance | Difficult to demonstrate, scattered documents | Supports GMP and ISO/IEC 17025 approach if the system is validated and controlled |
| Data integrity | Increased risk in the absence of governance | Structured traceability, depending on configuration and access rights |
| Costs of poor quality | Re-entries, rework, delays, and investigations | Can help reduce certain measured costs |
| Operational efficiency | Delays, manual searches, and execution errors | Standardization of controls and automatable alerts |
| Access to traceability | Manual, time-consuming reconstruction | Centralized history accessible according to permissions |
| Reliability of results | Highly dependent on individual practices | Harmonized procedures and better-structured records |
4. How to Choose and Implement a Digital Control Solution in an Existing Laboratory?
Choosing a solution is not simply a matter of selecting software. To understand how digital control fits into a laboratory, one must recognize that the process involves the quality, laboratory, IT, maintenance, and production teams. It must integrate into the existing architecture and meet clearly defined needs

4.1. What Are the Key Criteria for Choosing a Solution Suited to the Requirements of a Regulated Laboratory?
The essential criteria include:
- Regulatory compatibility: features suited to GMP, ISO/IEC 17025, and applicable internal requirements.
- Interoperability: controlled data exchange with the LIMS, ERP, CMMS, or relevant software, where necessary.
- Multi-device accessibility: access via smartphone, tablet, or computer depending on conditions of use.
- Native traceability: version management, timestamping, access rights, and record retention.
- Usability: an interface understandable by quality, laboratory, production, and maintenance teams.
A SaaS solution such as Picomto can address the need to digitalize instructions, procedures, checklists, and certain evidence of execution. Its scope should be distinguished from that of a LIMS, a CMMS, or instrument-control software.
4.2. What Are the Concrete Steps for Deploying Digital Control in an Existing Laboratory?
According to ANSM, approximately 65% of facilities have replaced equipment and/or updated their software for Annex 11. This reality calls for a structured method:
- Audit of the current state — map equipment, systems, data, and procedures.
- Risk analysis — define criticality, user requirements, and expected controls.
- Configuration and validation — adapt the solution, test functions, and document results.
- Team training — explain uses, responsibilities, and deviation management.
- Phased rollout — start with a pilot scope before extending the solution.
- Monitoring and continuous improvement — track indicators, incidents, versions, and user feedback.
4.3. How to Ensure Adoption of Digital Control by Laboratory Teams?
Resistance to change is a common obstacle. An intuitive interface, accessible on everyday tools, fosters adoption. Training must remain contextualized and adapted to the tasks actually performed.
Activity planning, availability of the right instructions, and integration with existing systems reduce the perceived administrative burden. A solution designed for different profiles limits silos, provided that responsibilities remain clearly defined.
Discover how Picomto supports the digitalization of operating procedures to facilitate field adoption in regulated environments
Conclusion
Digital control addresses two challenges: mastering the requirements applicable to computerized systems and improving operational efficiency. ANSM data shows that standalone systems and a lack of structured governance remain common.
Digitalization can make records more reliable, standardize practices, and prepare for audits. It does not guarantee compliance on its own: its success depends on risk analysis, validation, organization, training, and day-to-day use.
Discover how Picomto supports regulated laboratories in their digitalization efforts — contact our experts to see how a pharmaceutical laboratory structured its digital control with Picomto
FAQ
What are the different types of laboratory controls?
Laboratory controls include in-process controls, quality controls on finished products, environmental controls, equipment calibration controls, and microbiological controls. Each type addresses specific regulatory requirements depending on the industry sector.
What are the best practices for maintaining laboratory equipment?
Controls can include tests on raw materials, in-process controls, analyses on finished products, environmental controls, metrological verifications, and microbiological analyses. Their content depends on the sector, the product, and the applicable framework.
What steps can a quality control process in a laboratory include?
Depending on the activity, the process may include defining acceptance criteria, planning, sampling or measurement, analysis, recording of results, review, the compliance decision, and archiving. There is no universal seven-step list applicable to all laboratories.
What types of maintenance apply to laboratory equipment?
Common categories include corrective maintenance, systematic or condition-based preventive maintenance, predictive maintenance, and improvement actions. The categories used may vary depending on the maintenance policy, the criticality of the instrument, and the framework applied.
How should laboratory instruments and equipment be handled and maintained?
Handling must follow approved and controlled operating procedures, whether paper-based or digital. Maintenance relies on a documented program, appropriate verifications, traceability of interventions, and formalized incident management. Any action likely to influence results must be recorded in accordance with applicable requirements.
Key Takeaways
- Centralized data governance strengthens control over GMP and ISO/IEC 17025 requirements.
- Costs of poor quality can represent up to 5% of revenue for a majority of the industrial companies surveyed, though this data is not specific to laboratories.
- Structured traceability facilitates audit preparation.
- Adoption depends on usability, training, and practices.
- Approximately 65% of surveyed facilities had updated their equipment and/or software.


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