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It can even get life-saving treatments to market faster. It can also improve the day-to-day life of healthcare practitioners, letting them spend more time looking after patients and in so doing, raise staff morale and improve retention. Our working definition of AI in healthcare in this work is deliberately broad it includes a functional continuum from the application of rules-based systems through to cutting-edge methodologies that include classic machine learning, representation learning, and deep learning.ĪI can lead to better care outcomes and improve the productivity and efficiency of care delivery. There are several definitions of AI, but this report draws from a concise and helpful definition used by the European Parliament, “AI is the capability of a computer program to perform tasks or reasoning processes that we usually associate with intelligence in a human being.” 2Īrtificial intelligence: Potential benefits and ethical considerations, European Parliament Legal Affairs briefing, Policy Department C: Citizens’ Rights and Constitutional Affairs, PE 571.380, 2016, etudes/BRIE/2016/571380/IPOL_BRI(2016)571380_EN.pdf. We need not only to attract, train and retain more healthcare professionals, but we also need to ensure their time is used where it adds most value-caring for patients.īuilding on automation, artificial intelligence (AI) has the potential to revolutionize healthcare and help address some of the challenges set out above. Global Strategy on human resources for health: Workforce 2030, World Health Organization, 2016, hrh/resources/pub_globstrathrh-2030/en/. Health systems also need a larger workforce, but although the global economy could create 40 million new health-sector jobs by 2030, there is still a projected shortfall of 9.9 million physicians, nurses and midwives globally over the same period, according to the World Health Organization. Without major structural and transformational change, healthcare systems will struggle to remain sustainable. Healthcare spending is simply not keeping up. Managing such patients is expensive and requires systems to shift from an episodic care-based philosophy to one that is much more proactive and focused on long-term care management. By 2050, one in four people in Europe and North America will be over the age of 65-this means the health systems will have to deal with more patients with complex needs. Of these, the implications from an aging population stand out. Medical science has improved rapidly, raising life expectancy around the world, but as longevity increases, healthcare systems face growing demand for their services, rising costs and a workforce that is struggling to meet the needs of its patients.ĭemand is driven by a combination of unstoppable forces: population aging, changing patient expectations, a shift in lifestyle choices, and the never-ending cycle of innovation being but a few. Healthcare is one of the major success stories of our times.