How Many People Does Your Lab Depend On?
Every laboratory has them.
The individuals who know exactly how things work.
They know how to configure a particular test. They understand the nuances of analyser interfaces. They know which report version should be used for a specific customer, and they can usually solve a problem that nobody else can.
They are highly valued members of the team and, quite often, the people everyone turns to when something doesn't go according to plan.
There is nothing wrong with having experts.
The question is whether your laboratory depends on them too much.
The person everyone calls
Think about your own lab for a moment.
Who gets the call when a test needs amendment?
Who knows how a particular workflow was originally set up?
Who understands the logic behind a complex reporting process?
Who is responsible for making changes within the LIMS?
For many laboratories, the answers come surprisingly quickly.
In fact, there is often one name that appears repeatedly.
If that's the case, it may be worth asking why.
When knowledge becomes a risk
Knowledge and experience are incredibly valuable. They help laboratories operate efficiently and solve problems quickly.
However, knowledge becomes a risk when it exists primarily in people's heads rather than within documented processes and systems.
At first, this isn't obvious.
The lab functions well. Problems get solved. Everyone knows who to ask.
Then reality intervenes.
Someone takes annual leave.
Someone moves to another role.
Someone retires.
Someone leaves unexpectedly.
Suddenly, tasks that seemed straightforward become difficult.
Processes slow down.
Questions start to appear.
Work that previously took minutes can take hours.
Not because the capability has disappeared, but because the knowledge was never fully captured.
The hidden cost of tribal knowledge
Most laboratories have some degree of what is often referred to as "tribal knowledge".
These are the processes, workarounds, and operational details that exist outside formal documentation.
You won't necessarily find them in a procedure manual.
Instead, they live in conversations, emails, notebooks, spreadsheets, and individual experience.
The challenge is that tribal knowledge is difficult to scale.
As laboratories grow, more people need access to consistent information.
As services expand, processes become more complex.
As teams change, knowledge transfer becomes increasingly difficult.
Over time, the organisation becomes more dependent on key individuals simply because they are the only people who fully understand how certain things work.
Growth can expose the problem
Ironically, success often makes this issue worse.
As test volumes increase and new services are introduced, laboratories naturally become more complex.
More instruments.
More workflows.
More customers.
More reporting requirements.
The systems that supported a smaller operation can begin to show strain.
Additional processes are introduced.
New spreadsheets appear.
Manual steps are added.
Specific responsibilities become concentrated around particular members of staff.
The result is that operational resilience gradually decreases, even while the lab itself becomes larger and more successful.
What happens when a key person is unavailable?
This is perhaps the simplest test of all.
Imagine one of your most experienced staff members is unavailable for two weeks.
Would the laboratory operate exactly as normal?
Could another member of the team confidently perform their critical tasks?
Would key processes continue without delay?
Would system changes still be possible?
Would analyser and workflow issues be resolved quickly?
If any of these questions create uncertainty, there is likely a dependency that needs addressing.
This is not about individual performance. In many cases, those individuals are exceptional.
The issue is organisational resilience.
No laboratory should rely on a single person for critical operational knowledge.
Good systems reduce dependency
One of the most overlooked benefits of a well-designed LIMS is its ability to capture and standardise knowledge.
Processes become embedded within the system.
Workflows are defined and repeatable.
Rules are applied consistently.
Audit trails provide visibility.
Automation removes the need for manual intervention wherever possible.
Instead of relying on people to remember what should happen next, the system helps ensure that it happens correctly every time.
This creates consistency.
It improves training.
It reduces risk.
Most importantly, it allows expertise to be shared across the organisation rather than concentrated within a handful of individuals.
From knowledge to process
The strongest laboratories are not those with the smartest individuals.
They are the laboratories that successfully turn individual knowledge into repeatable processes.
When expertise is documented, embedded, and supported by systems, the organisation becomes stronger.
New staff become productive more quickly.
Changes can be implemented with confidence.
Operations become less vulnerable to staff turnover.
The result is a laboratory that is not only efficient today, but resilient for the future.
How MediLIMS helps
MediLIMS is designed to help laboratories capture operational knowledge and turn it into structured, repeatable workflows.
Rather than relying on key individuals to bridge process gaps, workflows can be configured directly within the system.
Rules, automation, reporting requirements, and operational controls become part of the platform itself.
This reduces dependence on informal processes and helps ensure consistency across the organisation.
As teams grow and evolve, knowledge remains within the system where it can continue to deliver value.
A question worth asking
Every laboratory has experts.
The real question is whether your laboratory could function effectively without them for a period of time.
If the answer is no, then the issue may not be staffing.
It may be that critical knowledge sits with people rather than within your processes and systems.
And that raises an interesting question:
If one person left your laboratory tomorrow, what knowledge would leave with them?