Health Insurance And Artificial Intelligence: European Adoption And Ethical Considerations – Artificial Intelligence (AI) has the potential to change the way health care is provided. A joint report with the European Union’s EIT Health assessment can support the improvement of care results, patient experience and access to health services. It can increase the productivity and efficiency of care delivery and allow health systems to provide better care and care to more people. AI can help improve the experience of healthcare workers, enabling them to spend more time on direct patient care and reduce fatigue.
Health care is one of the greatest success stories of our time. Medical science has improved rapidly, raising life expectancy around the world, but as longevity increases, health care systems are facing a growing demand for their services, rising costs and staff trying to meet the needs of their patients.
Health Insurance And Artificial Intelligence: European Adoption And Ethical Considerations
Demand is driven by a combination of unstoppable forces: population aging, changing patient expectations, changes in lifestyle choices, and a never-ending cycle of innovation but few. Of these, the effects of the aging population are evident. By 2050, one in four people in Europe and North America will be over 65 – meaning that health systems will have to deal with more patients with complex needs. Managing such patients is expensive and requires systems to change from a philosophy based on episodic care to one that is more focused and focused on long-term care management.
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Health care spending is not saved. Without major structural change and change, health care systems will struggle to remain sustainable. Health systems are also labor intensive, but even though the global economy could create 40 million new health sector jobs by 2030, there is still an estimated shortage of 9.9 million doctors, nurses and midwives worldwide at the same time, according to World Health. Organization.1 Global strategy for human resources for health: Workforce 2030, World Health Organization, 2016, https://www.who.int/ hrh/resources/pub_globstrathrh-2030/en/. Not only do we need to attract, train and retain more healthcare professionals, but we need to ensure that their time is spent where it adds the most value – caring for patients.
Building on automation, artificial intelligence (AI) has the potential to transform healthcare and help address the challenges described above. There are many definitions of AI, but this report takes from the short and useful definition used by the European Parliament, “AI is the ability of a computer program to perform tasks or reasoning processes that we often associate with human intelligence.” 2 Intelligence Intelligence: Potential benefits and ethical considerations, European Parliament Legal Affairs Information, Policy Department C: Citizens’ Rights and Constitutional Affairs, PE 571.380, 2016, http://www.europarl.europa.eu/RegData / etudes/BRIE/ 2016/571380/IPOL_BRI(2016)571380_EN.pdf. Our operational definition of AI in healthcare in this work is deliberately broad; covers a practical continuum from using principles-based systems to cutting-edge methods including classical machine learning, representational learning, and deep learning. AI can lead to better care outcomes and improve the productivity and efficiency of care delivery. It can improve the daily lives of health care workers, allow them to spend more time looking after patients and in doing so, raise staff morale and improve retention. It may even receive a life-saving treatment so it can be sold quickly. At the same time, questions have been raised about the impact AI may have on patients, doctors, and health systems, and the risks it may have; there are ethical arguments about how AI and the data it supports should be used.
This report by EIT Health and Company aims to contribute to the debate surrounding AI in healthcare, specifically looking at how practitioners and organizations will be affected. It aims to shine a light on priorities and trade in different areas of the healthcare system in Europe and beyond. The report draws on proprietary research and analysis conducted by EIT Health and & Company. This includes the work of the Global Institute (MGI) on the future of work in the era of automation and AI, 3 “The future of work: Automation, employment and productivity,” Global Institute, January 2017; “Artificial Intelligence: The Next Frontier,” Global Institute, June 2017; “Jobs Lost, Jobs Gained: The Transformation of the Workforce in the Age of Automation,” Global Institute, December 2017; “Transforming skills: Automation and the future of the workforce,” Global Institute, May 2018; “‘Tech for good’: Using technology to address disruption and improve well-being,” Global Institute, May 2019. See https:///featured-insights/future-of-work. analyzing the impact on health workers in Europe; a series of interviews with 62 healthcare and other leaders with experience in AI and digital health, and an online survey of 175 healthcare professionals, healthcare investors, and early adopters of AI and other managers. AI in healthcare has become a rapidly moving field, the report provides an exclusive article from the frontline of healthcare delivery and innovation today and the latest perspective from a wide range of stakeholders on AI’s potential, the real state of play today, and what it is. holding us.
Finally, to highlight where AI is already having an impact on healthcare, the report also looks at specific examples of existing AI solutions in six key areas where AI has a direct impact on the patient and three areas of the healthcare value chain that can benefit. further scaling of AI (Exhibit 1).
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In doing so, the report makes a special contribution to the debate about the impact of AI in health care in four ways: 1) the opinion of decision makers about the game of the country in this fast-moving field, where the development appears only in 12 months. the past is considered “old news”; 2) a robust new method to assess the impact of automation and AI on specific skills and jobs in healthcare in Europe; 3) large-scale exploration of use cases that demonstrate the potential that AI is already on the way to delivering; and 4) a unique view from the frontline, hearing from health workers, investors and startup managers where the real strengths, opportunities and obstacles.
The report does not attempt to cover all aspects of this complex issue, especially the behavior of AI or the management of risks related to AI, but it shows the efforts on this important topic led by EIT Health and other EU institutions. Equally, while acknowledging the disruptive impact that may disrupt human identity in both healthcare delivery and healthcare improvement in the future (for example, in R&D), the report focuses primarily on the impact of AI on healthcare workers and organizations, based on the use cases that exist today. .
Finally, AI is still in its infancy and its long-term effects are uncertain. The future use of AI in healthcare delivery, in the way of innovation and the way each of us thinks about our health, may change. We can imagine a future where population-level data from wearables and implants changes our understanding of human biology and how medicine works, enabling personalized and real-time treatment for all. This report focuses on what is today and what will enable innovation and adoption tomorrow, rather than examining the long-term future of human medicine. Faced with the uncertainty of the ultimate use of emerging technologies, some short-term opportunities are clear, such as initiatives that will enable health care providers and systems to bring benefits from innovations in AI to the rapidly evolving population.
What do we mean by AI in healthcare? In this report we include applications that affect the delivery of care, including both existing methods of work
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By changing health care needs or procedures that need to be addressed. We also include applications that enhance and improve the delivery of healthcare, from improving the day-to-day operations of healthcare organizations to population health management and the world of healthcare innovation. It is a broad definition that includes natural language processing (NLP), image analysis, and predictive analytics based on machine learning. Thus, it presents a range of AI solutions, where encoding clinical guidelines or existing clinical protocols through a rule-based system often provides a starting point, which can then
AI is now top-of-mind for healthcare decision-makers, governments, investors and innovators, and the European Union itself. A growing number of governments have set aspirations for AI in healthcare, in countries as diverse as Finland, Germany, the United Kingdom, Israel, China, and the United States and many are investing heavily in AI-related research. The private sector continues to play an important role, with venture capital (VC) funding for the top 50 firms in healthcare-related AI reaching $8.5 billion, and large technology firms, firms, drug and medical device firms and health insurance, all inclusive. and the new AI healthcare ecosystem.
Geographically, the dynamics of AI growth are changing. The United States still dominates the list of top VC-funded firms in healthcare AI to date, and has the most AI-related healthcare research studies and trials. But the fastest growth is coming from Asia, especially China, where leading domestic conglomerates and tech players have AI services aimed at consumers and Ping An’s Good Doctor, an online health management platform that already lists more than -300 million users. Europe, meanwhile, benefits from large sources of health data collected from national health systems and has great potential in terms of the number of research studies, established groups.
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