A point-of-care analyser pays for itself on speed: a result in minutes, at the patient. But the cost of disconnected POCT does not sit on the device invoice. It hides in the minutes after the result appears — the re-keying, the chasing, the reconciling — and it is paid every working day, by your most expensive staff.
This article is deliberately transparent. The numbers below are illustrative arithmetic, not a claim about any particular clinic. Replace them with your own figures and the shape holds: small per-result frictions, multiplied by volume and days, become a real line in the budget.
1. The transcription tax
When a result is read off a screen or printout and typed into a system, two costs appear. The first is time. The second is error — and error costs far more than the keystroke, because someone has to notice it, investigate it, and repeat the work.
Here is the time cost as plain arithmetic:
| Step | Assumption |
|---|---|
| Minutes to transcribe and check one result | 2 min |
| Results transcribed per day | × 40 |
| Working days per year | × 250 |
| Time spent re-keying results, per year | = 20,000 min ≈ 333 hours |
That is roughly forty working days a year spent moving numbers that the device already produced electronically. None of it adds clinical value, and it is the cheap part.
The expensive part is rework from error. Published studies of manual transcription in point-of-care testing put the error rate in the low single digits: a 2019 study by Mays and Mathias in the Journal of the American Medical Informatics Association measured a 3.7% manual transcription error rate in outpatient point-of-care glucose entries, with 14.2% of those errors discrepant by more than 20%. Even at a few percent, every wrong entry that is caught triggers an investigation, and every one that is not caught is a record nobody can rely on.
2. QC documentation time
Quality control that lives in a spreadsheet has to be maintained by hand: logged, totalled, charted, and reconciled against the patient results it is meant to govern. The maintenance is recurring, it falls on senior staff, and it produces nothing that the testing did not already generate. When QC sits apart from the results, there is also no traceable link between a control run and the patient work that followed it — so preparing evidence later means rebuilding that link from memory.
3. Accreditation-prep time
The bill for disconnected records arrives in full at inspection. When an assessor asks who ran a test, on which device, against which control, and where the result went, a connected system answers with a query. A paper-and-inbox system answers with a search — across folders, printouts and people's recollections — in the weeks before an assessment. That preparation time is real, it is concentrated on your most qualified staff, and it repeats on every cycle.
4. Missed billing for untracked tests
A test that is run but never reliably recorded is hard to invoice. When capture depends on someone remembering to write the test down, a proportion simply leaks — the work was done, the cost was incurred, and the income never lands. Untracked tests are the quietest cost of all, because nothing flags what was never recorded.
5. The friction nobody lines up
Individually, each of the above is a shrug. Together they form a steady tax on capacity: hours that could be clinical time, spent instead on transcription, reconciliation and evidence-gathering. The reason it stays invisible is that it is never added up in one place.
How connectivity removes each cost
A connectivity layer attacks the source rather than the symptom. When results arrive electronically the moment the device produces them, the work that generated each cost above stops being necessary:
- The transcription tax goes to zero — results are captured at the device, so there is nothing to re-key and nothing to mistype. See how device connectivity works.
- QC stops being a spreadsheet — statistical data-quality monitoring is captured alongside the results it governs, so the link between control and patient work is recorded, not reconstructed.
- Accreditation prep becomes a query — every result carries operator, device, lot, time and destination, so the audit trail is already written when the assessor asks.
- Billing closes the loop — captured tests flow into billing and reporting automatically, so fewer tests are run without being recorded.
None of this involves interpreting results. Catenix moves and records data faithfully — operator, device, value and status, verbatim — and leaves clinical interpretation where it belongs, with the clinician. If the term is new, start with what POCT connectivity is, then bring your own figures to the arithmetic above.
Questions, answered
About these numbers.
Does this mean Catenix guarantees a specific saving?
No. The figures on this page are clearly-labelled illustrative arithmetic to show where cost accumulates, not a promise. Your actual numbers depend on test volume, device mix, staff rates and how your records are kept today. We are happy to work through the arithmetic with your own figures.
Where does the transcription error figure come from?
From a 2019 study by Mays and Mathias in the Journal of the American Medical Informatics Association, which measured manual transcription error in outpatient point-of-care glucose testing at 3.7% of entries, with 14.2% of those errors discrepant by more than 20%. We cite it as a published illustration; rates vary by setting and workflow.
We already use middleware — does this still apply?
Often, partly. Many setups connect some devices but still re-key others, keep QC in a separate spreadsheet, or reconcile billing by hand. The costs described here come from the gaps that remain, so the useful question is which steps are still manual rather than whether any middleware exists.
Bring your own numbers.
We'll walk the arithmetic through with your volumes and show you where the time actually goes.