Illustration of four scientists in a lab, with one looking worried, another writing on a clipboard, a third using a laptop, and the fourth having a lightbulb idea above their head.

Why paper processes hinder lab automation and paperless labs

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Picture of Jonathan Alles

Jonathan Alles

EVOBYTE Digital Biology

By EVOBYTE Your partner for the digital lab

A digital lab thrives on speed, accuracy, and traceability. Paper gets in the way. When critical lab processes depend on handwritten notes, binders, and clipboards, automation stalls before it starts. A paperless laboratory replaces static pages with structured data that instruments, robots, and analytics can read and act on. The result is fewer errors, faster turnaround, and documentation that stands up to audits without late-night scrambling.

Why paper breaks automation

Automation needs machine-readable instructions, consistent data, and clear handoffs. Paper provides none of these. Handwriting varies. Binders hide information. Photocopied forms drift from the latest template. Even a well-organized shelf of notebooks cannot trigger a robot to start a run or tell a LIMS to release a batch. Every transfer from paper to a keyboard invites transcription errors and delays. In regulated environments, paper also slows reviews because signatures, version control, and change history live in separate places, if they are captured at all.

Consider sample intake. On paper, a technician writes IDs on a log sheet and labels. The next person retypes those IDs into an instrument or spreadsheet. One flipped character can misroute a sample or skew results. Replace the log sheet with a barcoded, digital intake form linked to your LIMS, and you remove the risky retyping step. Robots and instruments can now read the same identifiers, trigger the correct method, and record results automatically.

The paper habits still common in labs

Even modern facilities keep some tasks on paper because “it’s quick” or “it’s how we’ve always done it.” Typical paper holdouts include maintenance and calibration logs pinned near instruments, batch records printed for every run, deviation forms placed in a red folder, freezer maps taped to doors, whiteboard schedules for rooms or instruments, and training records kept as signed sheets in personnel files. Each example adds friction. Freezer maps do not update themselves when a box moves. Whiteboards do not notify a colleague that a slot just opened. A printed batch record cannot validate entries or prevent a missed step. These gaps are small on a quiet day and crippling when volume spikes.

How a paperless laboratory unlocks automation

A paperless laboratory creates structured, searchable data at every step. Electronic lab notebooks (ELN) capture methods as templates that guide the user, enforce units, and embed calculations. A Laboratory Information Management System (LIMS) tracks samples, reagents, and chain-of-custody from intake to report. E-signatures, audit trails, and version control ensure changes are controlled and reproducible. When ELN and LIMS talk to instruments and robots, routine actions—like starting a method, moving a plate, or checking expiry dates—happen automatically. Review by exception becomes possible because the system flags only what deviates from the plan.

A real-world example is instrument readiness. Instead of a hanging clipboard, a tablet-based checklist records daily verification with date, operator, and e-signature. If a check fails, the system locks the instrument, alerts maintenance, and routes samples to a backup. No one flips pages to find the last “OK.” The digital record is complete and actionable.

Finding the paper that hurts most

Start with a one-week walk-through and keep it simple. Follow a sample from arrival to result and note every time someone touches paper or retypes data. Watch for repeated form fields, handoff points, and steps that halt when a person is absent. Ask how long it takes to find the “truth” for a result, a deviation, or a calibration. Each delay marks a target for upgrade. Prioritize processes with high volume, high risk, or high audit effort. For many labs, the first wins are sample intake, batch records, deviations and CAPAs, and instrument maintenance logs.

When scoping change, define the data once. Agree on names for samples, lots, instruments, and users, and decide what must be mandatory. Short, consistent picklists beat long free-text fields. Keep the initial rollout narrow: one assay, one instrument family, or one production line. Prove value in weeks, not months, and expand from there. Early success builds confidence and frees time for the next wave.

Upgrading with easy-to-use tools

You do not need to rebuild your entire stack on day one. Quick wins are possible with tools that staff can learn fast. ELN platforms replace handwritten notebooks with guided templates, embedded calculations, and attachments. LIMS centralizes sample tracking, labels, and chain-of-custody while orchestrating lab processes end-to-end. Low-code form builders turn paper checklists and deviation forms into validated web forms with audit trails and e-signatures. Barcode and QR tools ensure fast, error-free identification for samples, reagents, and assets and integrate with printers and scanners you already have. Light robotic process automation (RPA) and optical character recognition (OCR) bridge gaps by transcribing legacy PDFs or moving data from older instruments into your LIMS without manual typing.

Integration is where the transformation pays off. Use standard interfaces from your ELN and LIMS to connect instruments, robots, and analytics. Even simple one-way flows—such as pushing a sample list to an instrument and pulling results back—cut hours of repetitive work. Over time, expand to closed-loop automation, where passing criteria in the LIMS automatically releases the next step, and exceptions route to reviewers with full context.

Managing change so it sticks

Technology is only half the story. Success depends on adoption. Involve end users in template design so screens match the way work actually happens. Replace paper forms with digital ones on the bench, not in an office two doors away. Keep training practical and short, focused on how the new flow removes tedious steps. Set clear rules for data entry and review, and celebrate early productivity gains. In regulated labs, align the rollout with your quality system and validation approach. Use risk-based validation to keep records tight without slowing delivery.

The outcome: a faster, safer digital lab

Moving from paper to data unlocks lab processes for true automation. Turnaround times drop because instruments and robots act on clean instructions. Errors decrease because barcodes and templates reduce manual entry. Reviews speed up because documentation is complete, searchable, and compliant by design. Most importantly, your team spends more time on science and less time chasing signatures or deciphering handwriting. That is the promise of a paperless laboratory, and it is within reach when you start with the right processes and the right tools.

If you are planning the shift, we can help. At EVOBYTE we help labs identify paper-based bottlenecks, implement ELN and LIMS, integrate instruments and robots, and deliver analytics that prove the ROI. Get in touch at info@evo-byte.com to discuss your project and take the first step toward a resilient, digital lab.

Further reading

FDA 21 CFR Part 11 — Electronic Records; Electronic Signatures: https://www.ecfr.gov/current/title-21/part-11

ISO/IEC 17025:2017 — General requirements for the competence of testing and calibration laboratories: https://www.iso.org/standard/66912.html

ISPE GAMP 5, 2nd Edition — A Risk-Based Approach to Compliant GxP Computerized Systems: https://ispe.org/publications/guidance-documents/gamp-5

FAIR Guiding Principles for scientific data management and stewardship: https://www.go-fair.org/fair-principles/