GLI GLI Quality Tool
GLI Quality Tool — Version 2.0

Building a Non-Conformance Tracking Log for TB Laboratories

Quality management in tuberculosis diagnostics depends on knowing when something has gone wrong, how badly it has gone wrong, and what the laboratory plans to do about it. A non-conformance log is the simplest instrument for capturing that information, yet many TB laboratories still rely on ad-hoc notes, scattered emails, or spreadsheets without a clear classification system. Without severity categories, every event looks the same to management, and resourcing decisions become guesswork.

The GLI Quality Tool organises laboratory improvement through a four-phase roadmap built on twelve Quality Systems Essentials. A tracking log fits naturally into phase two, where documentation and process control begin to take shape. For Australian laboratories serving remote clinics, mobile screening programs, and metropolitan reference centres, the value of a structured log grows as soon as more than one site contributes samples to the same diagnostic pathway.

Defining What Counts as a Non-Conformance in TB Work

A non-conformance is any deviation from an approved procedure, expected result, or standard requirement. In a TB laboratory the list of possibilities is long: a sputum specimen that arrives in a leaking container, a Ziehl-Neelsen smear that misses a positive control, a MGIT tube flagged positive by the machine but contaminated on culture, a sample register entry with the wrong collection date, a GeneXpert cartridge that produces an invalid result because of power interruption in a remote township, a report issued under the wrong patient identifier.

The first step in building the log is to agree on what your laboratory will record. Some events are obvious, such as a critical instrument failure or a clerical error that reaches a clinician. Others are subtle, such as a turnaround time that creeps past the agreed target by half a day. Both deserve a place in the log, because both feed into the review of trends. The phase-specific checklists available through the GLI Quality Tool can be used as a starting point for listing the kinds of events the laboratory considers worth tracking.

Designing a Severity Scale That Reflects Real Risk

Severity categories give every entry a quick, shared meaning. Most TB laboratories find that a three-level scale works well: minor events that affect a single sample or a single analyst and are caught internally, critical events that compromise patient results or biosafety and require immediate containment, and major events that fall between those poles and need prompt corrective action but rarely reach the patient. Some teams add a fourth level for observation, which records near-misses that never produced harm but reveal a system weakness.

Classification should be decided at the time of the event by the analyst who discovered it, then reviewed by the laboratory manager or quality officer. Clear criteria help. A smear reading discrepancy that affects treatment decisions is critical, while the same discrepancy caught during a quality control re-check of a negative slide is minor. A specimen rejection because the request form is missing a field is minor; a specimen rejected because it sat in a hot vehicle for six hours is major. Documenting the criteria on a single page keeps the categories consistent across staff rosters in cities from Sydney to Darwin.

Structuring the Log Fields and Workflow

The log itself does not need to be elaborate. A spreadsheet or a simple database is enough for most Australian laboratories, especially during the early phases of implementation. Useful fields include a unique non-conformance identifier, date of discovery, date of the originating event if known, sample or batch identifier, brief description, the Quality Systems Essential most affected, severity category, immediate containment action, root cause if identified, corrective action, responsible person, target close-out date, and status.

Linking each entry to one of the twelve Quality Systems Essentials, such as specimen management, equipment, or assessment, makes it easier to filter the log during reviews. A TB laboratory that runs microscopy, culture, and molecular testing will have very different non-conformances under each of those activities. When the log is searchable by Essential, recurring weaknesses surface quickly. Many teams in Queensland and Victoria now mirror this structure inside their laboratory information systems, which also helps when reporting to the Public Health Laboratory Network.

Connecting the Log to Assessment and Specimen Pathways

A tracking log is only useful if the data inside it feed back into assessment. Each quarter, the quality officer should pull summary counts by severity, by Essential, and by test type, and present them alongside corrective actions still open. Persistent minor events often point to a process that needs redesign rather than another reminder email.

The GLI Quality Tool hosts a detailed guide on designing a laboratory assessment tool for TB microscopy networks that complements the log by showing how to audit whether the corrective actions themselves are effective. Audit findings then become entries in the log, closing the loop between internal review and external assessment.

Specimen integrity deserves special attention in Australia because samples often travel long distances. An entry in the log that records a delayed or compromised sample from a remote clinic can be traced back to transport conditions. The published notes on designing a specimen transport system for TB samples in remote areas offer practical framing for many of the transport-related events that the log will capture.

Australian Realities That Shape the Log

Australia reports around 1,400 to 1,600 active TB cases each year, with notification rates well above the national average in some remote Aboriginal and Torres Strait Islander communities, particularly in the Northern Territory and northern Western Australia. Laboratories that support outreach screening in these regions deal with specimen chains that span hundreds of kilometres, multiple climate zones, and several airlines or road freight operators. Every link in that chain is a potential source of non-conformance.

Reference laboratories such as the Queensland Mycobacterium Reference Laboratory in Brisbane, the Victorian Mycobacterium Reference Laboratory at the Doherty Institute in Melbourne, and the New South Wales Mycobacterium Reference Laboratory at ICPMR Westmead receive samples from across their state or territory. A non-conformance log that travels with the sample, or at least feeds information back to the originating site, supports the kind of coordinated response that the National Tuberculosis Advisory Committee expects. NATA accreditation and RCPA inspections also look closely at how laboratories manage deviations, which is why the log should be ready for review at any time, not just before an audit.

Seasonal pressures matter: cyclone activity along the Top End and far north Queensland each summer regularly disrupts road transport, and heat-related specimen deterioration becomes a predictable category of event. Building that reality into the severity scale, perhaps by treating heat-exposed samples from remote clinics as a known recurring risk rather than a one-off failure, helps management argue for resources such as refrigerated transport or local point-of-care testing.

Using the Data to Drive Continual Improvement

Once the log has been in use for six to twelve months, the patterns become more interesting than individual entries. A laboratory might notice that most minor events cluster around a particular shift, a particular instrument, or a particular courier route. Severity categories make it easier to triage: if the critical and major counts are low but the minor counts are climbing, the system may be deteriorating before it reaches the patient. If a single severity category dominates, the underlying process is usually easy to identify.

Trending should be discussed in regular quality meetings and shared with the wider laboratory team, anonymised where appropriate. Staff are more willing to report events when they see their entries translated into action rather than filed away. Continual improvement, the final Quality Systems Essential in the GLI roadmap, depends on this feedback loop staying open.

Practical Recommendations for the First Year

Make the non-conformance log the everyday backbone of quality work in your TB laboratory. Start small, keep the categories clear, and let the data guide the improvements that matter most to the patients and communities who depend on accurate diagnosis.