Minister of Health and Wellness Dr Christopher Tufton says the use of artificial intelligence (AI) in health service delivery will facilitate health predictability.
AI is the process of using technology-driven data to assess, analyse, predict and influence outcomes, while health predictability refers to the extent to which a person’s future health status can be anticipated, based on current or past data. Speaking at a JIS Think Tank on Wednesday, Tufton pointed out that AI is now the driving force in healthcare in the developed world, citing countries like the United States, China and some in Europe.
“Essentially, it is the use of mass data to develop technology that provides minimally invasive arrangements that can be predictors of health and allows you to address health concerns,” he said.
“If you look at a group of 100,000 persons in a particular age cohort, gender, location and lifestyle and you map the data and that data gives you an outcome that may be similar among all those people, then you can extrapolate that, or programme it to give you similar predictability with another population that meets that criteria,” Tufton noted.
“So, in very simplistic terms, it can tell you that if you eat particular amounts of salt, sugar and fat you may be likely to develop [for example] heart disease and, therefore, the intervention is to adjust that, and you make those kinds of projections,” he added.
Tufton pointed out that if an individual’s body profile is of a particular state, that may be the result of a pattern of behaviour over a period of time, “so what the AI technology does, when used appropriately, is to give an opportunity for the kind of analysis that may help you to make adjustments for better quality and longer life”. The minister has appointed a 10-member AI Technology Enhanced Care for Health Expert Council to examine and recommend new systems utilising AI technology in healthcare delivery.