The Risks That Paper-Based Systems Pose to Labs

Manual and paper-based systems work for a lab – until they don’t.

It’s not until a catastrophic data failure or a failed inspection that labs realize their need for modern, cloud-based software to manage their data. But by that point, it’s already too late.

In this guide, we’ll examine how dangerous paper-based systems are for labs, the impact of these dangers, and how to mitigate them with modern software.

The Cost of Paper-Based Systems

You’ve heard it all before: warnings of potential audit risks, hidden costs, and a constant threat of data failure in the background. 

It doesn’t take long to parse through the FDA Warning Letters to find citations for poor data management practices, often due to manual systems that allow information to slip through the cracks. An analysis of the 2025 FDA Warning Letters issued to labs shows that 99% contained citations related to documentation, records, or written procedures, and 29% mentioned missing or incomplete written records. 

One quote from that batch is telling:

"Your firm failed to establish written procedures for production and process control designed to assure that the drug products you manufacture have the identity, strength, quality, and purity they purport or are represented to possess." — FDA Warning Letter, 2025

In other words, this lab couldn’t produce the documentation to ensure its products met specifications. If you use cloud-based software, that documentation is a button-click away, but with paper-based systems, you could be spending hours searching through binders and filing cabinets.

How Manual Systems Lead to Data Integrity Failures

Paper records and manual systems are ripe for data integrity violations that can fail an inspection.

This is simply because paper records cannot reliably show who did what, when they did it, or what was changed. By the time an auditor flips through the binder, every gap and every illegible correction is a finding waiting to happen.

In 2016, a study on healthcare data accuracy showed that manual compliance processes result in error rates of 79%-87% when complex spreadsheets are used, compared to <2% when processes are automated. Paper-based systems create audit trail gaps, making it difficult to prove data integrity during regulatory inspections. 

FDA 21 CFR Part 11 sets explicit expectations for electronic records and signatures, including requirements for audit trails, timestamps, and operational checks to ensure data is attributable, legible, contemporaneous, original, and accurate. Paper systems can satisfy some of these requirements, but they cannot generate a tamper-evident audit trail. 

How Paper-Based Systems Lead to Compliance Audit Risks

We’ve touched on 21 CFR Part 11, but there are other compliance standards, too, that hinge on the reliability and accuracy of your data:

• ISO/IEC 17025 requires controlled documentation, with records retained, retrievable, and protected from unauthorized changes. Paper fails the third requirement on its face. Anyone with access to the binder can modify, remove, or replace pages, and there is no log recording what happened. 
• HIPAA requires technical safeguards, including access controls, audit controls, and integrity controls on PHI. Paper records cannot enforce role-based access, and there is no audit log to produce when an inspector knocks.
• GLP requires verifiable raw data with a clear chain of custody from generation to archive. Paper notebooks can record the data, but they cannot prove the record hasn't been altered between then and now.
• CLIA requires documented quality control across every test cycle, including calibration records, control results, and corrective actions. Paper logs can capture each of these in isolation, but reconstructing a full QC history for an inspector means flipping through binders and hoping nothing is missing.

It’s not just that paper and spreadsheets open you up to these risks; some inspectors refuse to touch them. One OTC cosmetics lab we spoke with managed all of their test, sample, and inventory data in a system of physical notecards and notebooks. During an FDA inspection, the inspector refused to touch the physical records – deeming them disgusting – and demanded access to digital systems for review. 

How Manual Data Systems Lead to Sample Tracking Failures and Costs

Manual systems, combined with the cognitive load of tracking dozens of samples across shifts, often lead to samples being tested multiple times, slowing workflows and depleting valuable inventory. While a small-scale operation can be faithfully and accurately documented in a notebook, the minute you scale your throughput, test volume, or team size, those manual systems will break down. 

Double-work and wasted hours can seem benign until you add up all the time spent. One dietary supplement lab we spoke with spent hours generating new COAs every week while sifting through spreadsheets of test data. This slowed them down, prevented them from scaling, and led to double-work across their team.

How Paper-Based Systems Lead to Disaster Recovery Gaps

A misplaced notebook, a spilled solution, or a burst pipe can destroy months of records in seconds. There is no disaster recovery plan for paper that doesn't involve photocopying everything twice and storing the copies somewhere else, which almost no lab actually does.

Cloud-based systems like QBench treat this as a solved problem. 

Encrypted backups, geographically distributed redundancy, and point-in-time recovery are baseline expectations, not premium features. AWS hosting across regions keeps data accessible in the event of a local outage, giving your lab a defensible disaster recovery plan.

For an accredited lab, the absence of a recovery plan is an active accreditation risk. Auditors increasingly ask about business continuity, and the answer of "the binders are in a fireproof cabinet" doesn't satisfy a 17025 assessor in 2026. As we’ll see in the next section, cloud-based software can eliminate these risks.

How a Cloud-Based LIMS Eliminates These Risks

The answer to each of the above risks is a cloud-based LIMS.

A LIMS (Laboratory Information Management System) is a data management platform for labs that logs sample, inventory, and test data, as well as readings from lab equipment and connected software, providing your lab with a centralized, holistic view of its operations.

A LIMS solves data integrity issues with tamper-evident audit trails. Every entry, every edit, every approval is timestamped and attributed to a named user. 

A LIMS also generates timestamped audit logs that satisfy ISO 17025 requirements for records management, enforces role-based permissions that satisfy HIPAA technical safeguards, and produces audit-ready reports on demand instead of under deadline pressure.

Sample tracking is solved by barcoded workflows and enforced handoffs. A sample is logged once at receipt, and every subsequent action is tied to that record. There are no transcriptions because there is no second entry.

Security and disaster recovery are solved by infrastructure that no individual lab could build on its own — encrypted backups, geographically distributed redundancy, role-based access, and access logs that survive personnel changes.

There are plenty of LIMS to choose from, so which one is right for your lab?

We’d recommend the LIMS that is:

• Configurable
• Speeds up your time-to-value
• Works as a partner for your lab, and not just a vendor

QBench meets all three.

If your lab is migrating from spreadsheets to a LIMS with QBench, you won’t have to hire a developer to build those workflows from scratch. Instead, you can map existing SOPs to the platform, configure workflows, role-based access, and test everything before it goes live.

QBench maintains detailed audit trails on every order, sample, test, and batch – recording which users modified data and when, cross-referenced with login activity and IP address – and those records are retained indefinitely for the life of your subscription. Role-based permissions are granular enough to restrict technicians to their own team's test data while giving managers full read/write across the lab, and QBench supports SSO through Google, Okta, and Azure with MFA on both the LIMS and the Customer Portal. QBench is also backed by an annual SOC 2 Type II audit, with infrastructure hosted on AWS, a disaster recovery posture that a binder in a fireproof cabinet cannot match.

If you need a cloud-based system that addresses the risks above while also being easy enough for your bench staff to use, then QBench is the LIMS you need.

A LIMS is The Answer, But Choose the Right LIMS With Our LIMS Buyer’s Guide

Audit failures. Lost test data. Delayed shipments. These are the risks that paper-based systems create.

When it comes to mitigating or preventing them, you need a single source of truth that connects each instrument and data point in your lab. As we shared, a LIMS centralizes your operations, eliminates manual errors, and gives you the audit-ready visibility you need to stay compliant and competitive. But not all LIMS are created equal.

You need to find the right LIMS. One that meets your lab's budget, feature needs, and technical ability. Our free LIMS Buyer’s Guide breaks down exactly what to look for – and what to avoid. If you're serious about eliminating data silos, fill out the form below to learn how to select the right LIMS for your lab.