Respiratory scientists across Australia and the UK are walking away from spreadsheets and manual data entry workflows at an accelerating pace. The reason is not simply preference. Manual data management in clinical physiology labs creates measurable risks: transcription errors, delayed reporting, compliance gaps, and wasted clinical hours that directly affect patient care. In 2026, purpose-built pulmonary function test software and sleep lab management software have matured to the point where the spreadsheet workaround is no longer defensible.

TL;DR

• Manual data entry introduces errors and hidden costs that go far beyond staff time [olio.health][acodis.io]

• Spreadsheets were never designed for the complexity of respiratory and sleep lab workflows [forbes.com]

• The risks are clinical, not just administrative: errors in patient data have real consequences

• Purpose-built platforms eliminate double entry, automate reporting, and keep labs compliant

• Transitioning away from spreadsheets is simpler than most labs expect

About the Author: This article is written by the Rezibase team, a platform founded by respiratory scientists and trusted by over 35 clinical physiology sites across Australia and the UK, including NHS and NSW Health institutions.

What Is the Real Cost of Manual Data Entry in a Respiratory Lab?

Manual data entry is not just slow. It is a source of compounding risk that touches every layer of lab operations.

Research into manual workflows shows that the costs go well beyond the obvious time investment [olio.health]. In the context of clinical physiology, those costs include:

• Transcription errors when patient data is manually re-entered between devices and reporting systems

• Delayed turnaround times on reports, affecting clinical decision-making

• Compliance exposure when audit trails are incomplete or documentation is inconsistent

• Staff burnout from repetitive, low-value data handling tasks

• Version control failures when multiple spreadsheet copies circulate across a team

Evidence from quality and regulatory teams in life sciences reinforces this picture: manual data entry is costing clinical teams more than they realise, often in ways that only become visible during audits or incident reviews [acodis.io].

The problem is not the data itself. It is the tooling used to manage it.

Why Were Spreadsheets Never the Right Tool for Respiratory Science?

Spreadsheets are general-purpose tools. They were not designed for the structured, standards-compliant, multi-device workflows of a respiratory or sleep lab.

A 2021 analysis of scientific data management made this point plainly: scientists forced to rely on spreadsheets and legacy tools face slower innovation and data silos that impede progress [forbes.com]. That observation applies directly to clinical physiology labs, where data flows between spirometers, sleep diagnostic devices, reporting interfaces, and hospital administration systems.

Specific limitations of spreadsheets in this context include:

The regulatory environment is also shifting. Bodies overseeing medical device and diagnostics compliance are increasingly emphasising dynamic, connected data ecosystems over static file-based records [iqvia.com]. Spreadsheets sit on the wrong side of that trajectory.

What Does "Double Data Entry" Actually Mean in Practice?

Double data entry occurs when a scientist records a result on a device, then manually types that same result into a separate reporting system, patient record, or spreadsheet.

In a busy respiratory lab, this might happen dozens of times per day across spirometry, DLCO, body plethysmography, and sleep studies. Each re-entry is a new opportunity for error, and each error carries clinical weight.

The compounding effect is significant [devrey.com]:

• Errors are harder to detect when the source and the record are disconnected

• Correcting errors consumes disproportionate time relative to the original task

• Downstream clinical decisions may be made on data that has not been validated

This is precisely the problem that purpose-built pulmonary function test software is designed to solve: import once, use everywhere, with the data integrity preserved from device to report.

How Is Big Data and Precision Medicine Changing Expectations for Respiratory Data?

The ambitions of modern respiratory medicine extend well beyond individual test results. Research published in a peer-reviewed journal explored the potential of data science, causal inference, and precision medicine in respiratory care, noting the scale of what becomes possible when respiratory data is structured, connected, and accessible [pmc.ncbi.nlm.nih.gov].

That potential cannot be realised through fragmented spreadsheet records. It requires:

• Discrete, structured data fields captured consistently across every patient

• Longitudinal records that support trend analysis

• Integration with broader hospital and research data ecosystems

Rezibase's approach to discrete data capture, including automatic extraction of flow-volume loops via its Magic Import feature, reflects where the field is heading. Structured data is not just an administrative convenience. It is the foundation for better science.

What Should Respiratory Labs Look for in a Modern Software Platform?

Not all platforms are equal. When evaluating pulmonary function test software or sleep lab management software, labs should prioritise:

• Vendor neutrality: Can it import from any device manufacturer without lock-in?

• Automated data capture: Does it eliminate manual re-entry through direct device integration?

• Standards compliance: Is it pre-configured to ATS guidelines and does it support accreditation requirements such as TSANZ/NATA and ISO 15189?

• Cloud delivery: Does it remove the burden of local server management?

• Integrated workflows: Does it cover the full patient lifecycle, from referrals and bookings to reporting and billing?

• Hospital system integration: Can it connect with PAS, EMR, DICOM, and electronic ordering systems?

These are not aspirational features. They are baseline requirements for a lab operating at a clinical standard in 2026.

Is Switching from a Legacy System to Purpose-Built Software Complicated?

Switching platforms is a common concern, and it is worth addressing directly: for most labs, the transition is more straightforward than expected.

Modern platforms designed for respiratory and sleep labs have migration built into their onboarding process. Historical data can be transferred, configurations can be tailored to the lab's existing workflows, and training is provided to support the team through the change.

The more relevant question is what it costs to stay on a legacy or spreadsheet-based system. Delayed reports, compliance risk, staff frustration, and the accumulating burden of manual work represent a cost that compounds every month a lab delays the move.

Frequently Asked Questions

What is pulmonary function test software?
It is a purpose-built digital platform for capturing, managing, and reporting the results of lung function tests such as spirometry, DLCO, and body plethysmography, replacing manual entry and paper-based workflows.

What is sleep lab management software?
It is a system designed to manage the clinical and administrative operations of a sleep lab, including patient scheduling, study data capture, reporting, and billing.

How does manual data entry create clinical risk?
Every manual re-entry step introduces the possibility of transcription error. In a clinical setting, an incorrect value can affect diagnostic interpretation and patient management.

Can Rezibase import data from any device brand?
Yes. Rezibase is manufacturer-agnostic, meaning it accepts data from any respiratory or sleep device without requiring a specific vendor relationship.

How long does it take to migrate from a legacy system?
Migration timelines vary depending on the volume of historical data and the complexity of existing workflows, but the process is designed to be manageable and supported end-to-end.

Does Rezibase support accreditation requirements?
Yes. The platform includes a dedicated accreditation module covering TSANZ/NATA standards and ISO 15189 requirements, including documents, training, audits, and quality control.

Is Rezibase only for Australian labs?
No. Rezibase is actively used in the UK's NHS and is designed to serve labs in Australia, New Zealand, the UK, and Ireland.

About Rezibase

Rezibase is a cloud-based respiratory and sleep reporting platform built by respiratory scientists for respiratory scientists. Founded by respiratory scientists Peter Rochford and the late Jeff Pretto, and developed over 8 years before becoming part of the Cardiobase family, Rezibase is trusted by over 35 sites including NHS and NSW Health institutions. The platform is vendor-neutral, fully integrated across the patient lifecycle, and designed to eliminate the manual workflows that slow labs down and introduce clinical risk. With transparent pricing, no lock-in contracts, and a 30-day free trial, Rezibase is built to make the transition to modern lab management as straightforward as possible.

Ready to move your lab beyond spreadsheets? Learn more or book a demo at rezibase.com.