What Our Validation Study Set Out to Prove

Our validation study at Anubhav Life Care is wrapping up as the year closes. Before we report any results in the new year, it is worth being clear about what the study was actually designed to test — and, just as important, what a study like this can and cannot claim. Getting that straight first is how you keep the eventual numbers honest.

The question the study asks

The core question is narrow and answerable: when SamaClip's painless screen reports a value, how closely does it agree with a hospital-grade reference instrument measuring the same thing?

For each parameter there is a recognised reference standard — an accredited lab haemoglobin measurement, a clinical-grade oximeter, a laboratory HbA1c method, a full ECG. The study compares the screen against each of these, in the same people, and measures the agreement. That is what "validation" means here: not "is the device impressive," but "does it agree with the thing we already trust, and by how much."

How it was run

The study is cross-sectional, conducted at our NABL-accredited centre, with participants recruited from the community the centre already serves. We deliberately recruited across the Monk Skin Tone range 4 to 10, including the darkest tones, so that performance could be reported for darker skin specifically rather than averaged away. The study runs under a registered observational protocol.

We also track the unglamorous but essential things: how often a reading reached acceptable signal quality, how often a recording had to be retaken, how many participants completed every measurement. A device that produces a beautiful number only half the time is not usable in the field, so usability data is part of the evidence, not an afterthought.

What it can and cannot claim

This is the part we want to be careful about, in advance.

A diagnostic-accuracy study can show how well a screen agrees with reference instruments in the studied population. It can support a claim that the screen is a reliable first-line tool for flagging people who need confirmation. What it cannot do is turn a screen into a diagnosis. SamaClip is a screening tool. Its job is to sort people into "looks fine" and "needs a proper look," painlessly and at scale. Confirmation still comes from accredited diagnostic testing and clinical judgement.

It also cannot claim things it did not measure. The validation was run on SamaClip, the finger sensor. Any future device or feature has to earn its own evidence on its own study. We will not borrow these results to make claims about anything they did not test. That discipline is not bureaucratic caution. It is the difference between evidence and marketing.

What comes next

When the data is analysed, we will publish the results — the agreement with reference instruments for each parameter, the per-skin-tone performance, the signal-quality and completion rates, and the limitations. All of it, in the right order: the study first, the numbers second, the honest caveats included rather than buried.