Medical Snapshot System

The Medical Snapshot System is a way to improve medical systems using IT systems to isolate patients and staff from information that would trigger an ethical review. In 2007 when I first developed this and explored how it might work in clinical contexts a lot of the concepts were new and the technologies were still experimental. Now in 2023 we can safely and cheaply obtain patient data that should not be show to either the patient or the patient's doctor, for ethical reasons - and yet it may be vital to diagnosis or survival at some later date. Law and ethics is a big part of this, and the emerging concept of Personal Data Donation allows for the fact that someone cannot waive their GDPR rights.

The concept is derived from the idea of sequestering a jury in a court case. It is unethical for the jury to use information known today, they can only decide on the facts as known at a certain point in the past.

See the Full proposal version 4.1 here.

I have qualitatively validated this in discussion with patients, medical systems researchers, doctors and nurses. A much more interesting way of developing this is to use risk modelling, which is what I am developing together with the University of Southampton.

The next step would be to design a trial in a real-life medical system. There are plenty of organisations with incentive to participate, starting with the patients and including manufacturers of medical monitoring devices. From initial enquiries it seems there would be a lot more willingness to try this technically (particularly on cohorts outside Europe) than fully engage with the ethical aspects.

Specifically, since 2007 we have got closer to a tricorder-level of technology: insulin levels can be measured from body sweat, LED laser photonics can detect many viral and bacterial infections, and there are handheld devices on the market offering reasonably accurate genomic results. All of this supports the basic premise.

The Not Before Time service is highly relevant as a potential secure information delivery mechanism with dates defined by the results of ethical analysis.