A lot is possible – but does it make sense?
The researchers’ creativity is impressive, as is the sheer variety of conceivable devices – ranging from a dummy that measures whether infants are dehydrated to tattoos that indicate blood sugar levels and contact lenses that provide data from the wearer’s tears. “When we discussed the possibilities with engineers, physicians and colleagues from other disciplines a year ago, we realised that we needed to think about what kinds of sensor make sense and what points ought to be given particular weight when developing such devices,” says Goldhahn, the paper’s senior author.
The key consideration is self-evident: the wearables must be something that patients want to wear. “That’s why we recommend always developing the sensors together with the people who will need them later,” Brasier says. But the medical benefits of such devices also need to be critically assessed. Not everything that can be measured offers a clinical benefit. “It’s not about measuring any old variable. It’s a question of what that reading means in the relevant context and what the clinical consequences are,” he says.
For example, CRP is a marker for inflammation in the body and is measured in milligrams per litre. In healthy adults, the CRP level is normally physiologically below 5 mg/l. “If a patient has a blood-CRP level of 150 mg/l, this only tells us so much. What’s decisive for a clinical assessment is whether the value on the previous day was normal, or whether it was 300 mg/l. Then we can say whether the person’s health has deteriorated or improved.”
Display the readings well
Then there are the technical hurdles: How long can a sensor keep measuring? How can it be stored and cleaned? How much electricity does it consume, and from what source? And most importantly, how good and reliable is the data it provides? “Careful validation of the measurement data will be key to whether a given device becomes established or not,” Goldhahn says, “because nobody is going to rely on uncertain readings.”
In a further step, the signals from the wearables must be processed, interpreted and displayed in a way that makes sense to users – be they the patients themselves or healthcare professionals. In the future, that will increasingly be a job for artificial intelligence, which in turn will further accelerate the development of wearables.