Gathering and interpreting data in the future

By Huw Llewelyn MD FRCP, Honorary Fellow in Mathematics in Aberystwyth University and practising consultant general physician and endocrinologist for over 40 years.

With the advent of diagnostics, treatment and artifical intelligence in the health sector, Huw Llewelyn MD discusses the challenges facing the medical profession, particularly in assessing these new interventions when randomised control trials (RCTs) are impractical.

Many hope that new diagnostic tests and treatments based on artificial intelligence, ‘big data’, physiological smart phone apps or genetics will improve future health. However, we face some big challenges, particularly in assessing these new interventions when randomised control trials (RCTs) are impractical[1] or when data collected during routine care is too unstructured and inadequate for meaningful analysis[2]. I will describe examples of the type of innovations that might help. The first will be a way of conducting controlled trials without randomisation. The second example will be a method of collecting structured data during day to day care by working backwards from a decision…

To carry on reading, find the full blog here!

 

 

 

 

 

Leave a Reply

Your email address will not be published. Required fields are marked *